Banks and lenders
Customer-facing AI touches account data, statements and payment rails. Without dedicated controls a small mistake becomes a privacy incident or an unauthorised transaction.
By Industry
BFSI
Give financial agents autonomy with transaction-level control.
Across banking, financial services and insurance, agents support customers, review applications and claims, investigate fraud, reconcile accounts and reach highly sensitive financial systems. Every action must stay explainable, scoped and auditable.
What the agent can reach
Book a demoPayment railsCore bankingClaimsCRMAccount toolsAudit log
Why AI security matters here
Insurers
Claims and underwriting agents read policyholder documents that can carry injected instructions. Policy, context and approval must be enforced at the moment of action.
Capital markets and fintech
AI features ship fast across onboarding, servicing and reconciliation. Security has to cover prompts, retrieved context and outputs, not just data-loss prevention.
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Probes hallucinated advice, prompt injection in statements, policies and documents, account- and policyholder-data exposure, workflow manipulation and unauthorised transactions — before an agent reaches production.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Applies organisation-wide and agent-specific policies before access to payment, banking, claims, CRM and core account tools — every call checked against intent and context.
Example · a security decision in context
- 1
A banking support agent is asked to explain a disputed charge on a customer’s account.
- 2
An injected instruction hidden in the dispute attachment tells the agent to issue a refund to a different account.
- 3
VirtualizingHumans INTERCEPT detects that the payment action does not match the customer’s request — intent and context diverge — and blocks it.
Action blocked
Core components for financial-services AI security
VirtualizingHumans Sentry — one security layer across customer-facing and back-office AI.
AI application protection
Secures customer-facing assistants and internal AI applications. Analyses the reasoning behind every prompt to catch indirect injection, malicious responses and exfiltration attempts in real time.
Agentic AI governance
Monitors and governs agents across financial workflows, including coding assistants, desktop agents and custom builds, with tool-call monitoring and risk scoring for every interaction.
Data-loss prevention for AI
Detects and blocks attempts to share account numbers, trading algorithms, credit data, PII and proprietary models with external AI services — supporting DPDPA obligations.
Financial compliance engine
Maps every AI control to financial regulatory frameworks, aligning with RBI cyber-security guidelines, SEBI cyber-resilience frameworks and CERT-In advisories, and generates audit-ready reports.
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Industry
Healthcare
Give clinical agents autonomy while protecting every patient record.
Across hospitals, diagnostics, insurers and health-tech, agents draft notes, triage queries, summarise records and reach systems holding sensitive patient data. Adoption moves faster than policy, so every interaction must stay safe, bounded and auditable.
What the agent can reach
Book a demoPHI storeEHRSchedulingClaimsCliniciansAudit log
Why AI security matters here
Providers and health systems
Clinical AI touches PHI, documentation and patient communications. Without dedicated controls, small mistakes become privacy incidents or patient-safety risks.
Health-tech and digital health
AI features ship fast inside regulated workflows. Security has to cover prompts, retrieved context and outputs to reduce PHI exposure and meet compliance expectations.
Payers and partners
AI moves sensitive data across organisations and vendors, creating new exposure paths — especially with unsanctioned tools and inconsistent handling.
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Tests unsafe recommendations, missed constraints, PHI leakage, prompt injection in clinical notes and unauthorised access to patient systems — before an agent reaches production.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Enforces purpose, role, patient and tool boundaries at the moment of action, and escalates sensitive or high-impact steps for human oversight.
Example · a security decision in context
- 1
A patient-support agent is asked to summarise a discharge record.
- 2
A hidden instruction in an uploaded report tells the agent to include another patient’s details in the reply.
- 3
VirtualizingHumans Sentry detects that the output would expose PHI outside the patient’s own request and blocks it before it reaches the clinician.
Output blocked
Core components for health-sector AI security
VirtualizingHumans Sentry — one security layer across clinical AI.
PHI safeguards
Policies for what can enter prompts, what can be retrieved as context and what can leave in an output — built for real clinical usage patterns, beyond static keyword rules.
Clinical output safety
Models can generate confident but incorrect content. Flag clinically risky responses before they reach clinicians, patients or documentation workflows.
Shadow AI mapping
Adoption often outpaces policy. Map unsanctioned AI usage across teams and vendors so blind spots don’t build up across departments.
Audit evidence
Clear, searchable records of AI interactions and policy outcomes, aligned with the DPDP Act, ABDM, ISO 27001 and SOC 2 expectations — without manual screenshots.
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Industry
Retail
Give retail agents autonomy without exposing customers, pricing or store systems.
Retail agents handle customer service, product recommendations, order and returns management, loyalty and marketing outreach. These workflows mix customer PII and payment data with actions that can move money, change orders and reach back-office systems.
What the agent can reach
Book a demoCustomer PIIPayment dataOrdersCatalogLoyaltyStore systems
Why AI security matters here
Retailers and e-commerce brands
Customer-facing AI touches PII, payment details, order history and loyalty data. Without controls a small mistake becomes a privacy incident, a mispriced order or a fraud opening.
Marketplaces and platforms
AI ships fast across search, recommendations and support, pulling in third-party content and seller data. Security must cover prompts, retrieved context and outputs.
Payments, loyalty and partners
AI moves sensitive customer and transaction data across brands and vendors, creating new exposure paths — especially with unsanctioned tools.
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Tests unsafe recommendations, prompt injection in reviews and product content, PII and payment-data leakage, pricing or discount manipulation and unauthorised access to order and customer systems.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Enforces purpose, role, customer and tool boundaries at the moment of action, and escalates refunds, price changes and other high-impact steps for human approval.
Example · a security decision in context
- 1
A customer-support agent runs on a service identity that has quietly accumulated access well beyond its role.
- 2
A compromised third-party integration tries to use that identity to pull the full customer and payment database.
- 3
VirtualizingHumans Krypt flags the abnormal privilege and activity, and VirtualizingHumans INTERCEPT blocks the access before any data leaves.
Identity breach contained
Core components for retail AI security
VirtualizingHumans Sentry across customer-facing and back-office AI, with VirtualizingHumans Krypt over machine identities.
PII and payment-data safeguards
Policies for what customer data can enter prompts, be retrieved as context or leave in an output — names, addresses, order history, payment details, pricing logic and keys.
Injection and output safety
Blocks manipulation hidden in reviews, chat messages, listings and uploads before an agent acts on it, and flags unsafe responses before they reach customers.
Shadow AI mapping
Map unsanctioned AI usage across merchandising, marketing, support and supplier teams so blind spots don’t build up.
Audit evidence
Searchable records of AI interactions and policy outcomes, aligned with the DPDP Act, PCI DSS, ISO 27001 and SOC 2.
Non-human identity security
VirtualizingHumans Krypt gives full visibility over agents, service accounts and machine identities — classification, privilege analysis and continuous activity tracking.
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Risk
Prompt Injection Protection
Protect agents from malicious instructions.
Agents read emails, documents, web pages and other external content. Prompt injection occurs when that content carries instructions designed to manipulate an agent into ignoring its task, revealing information or taking unauthorised actions.
Where injection enters
Assess Your AI AgentsDocumentsEmailWeb pagesAttachmentsTool callsResponses
Why AI security matters here
An agent follows malicious instructions
Hidden text in a document or web page redirects what the agent does next.
Sensitive information is exposed
Business data leaves through an agent’s response.
Tools are invoked without authority
The agent is manipulated into performing unintended actions.
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Evaluates how agents respond to malicious instructions and untrusted content, then limits the information an agent can retrieve or disclose.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Restricts what an agent can do if its behaviour is manipulated, requires approval for sensitive actions and provides a defined way to stop an agent.
Example · a security decision in context
- 1
A support agent is asked to summarise a customer complaint.
- 2
An instruction hidden in the attached document tells it to email the full account history to an outside address.
- 3
VirtualizingHumans INTERCEPT allows the summary and blocks the send — it falls outside the request.
Action blocked
Connect to our solutions
Assess. Test. Control.
AI security assessment
Identify prompt-injection risks in agents you already use.
Secure agent build
Build data boundaries, tool restrictions and approval rules into new agents.
SABER — Secure Agent Builder for Enterprise Roles
Define each agent’s role, permissions, limits, owner and stop mechanism.
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Risk
MCP Security
Secure the connections that give agents access to your systems.
The Model Context Protocol lets AI applications and agents connect to external tools and data sources. Those connections expand what an agent can do, but introduce risk when servers, permissions, tools or returned content are not properly reviewed.
What the connection exposes
Review Your Agent ConnectionsMCP serversToolsData sourcesPermissionsThird partiesApprovals
Why AI security matters here
An untrusted server is connected
The agent reaches a compromised or unreviewed MCP server.
A tool has more access than the role needs
Permissions exceed what the agent was meant to do.
Information leaves through a connected tool
Sensitive data is exposed via tools or data sources.
A tool is used in an unintended way
The agent acts outside its authorised pattern.
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Identifies the MCP servers, tools and data sources an agent can reach, checks whether each connection grants more access than necessary, and examines how agents handle content returned by external tools.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Defines which tool actions are allowed and where human approval is needed, and re-reviews connections and permissions whenever agents or their tools change.
Example · a security decision in context
- 1
An agent is asked to pull a delivery status from a connected tool.
- 2
The tool returns content carrying an instruction to enumerate and export the customer table.
- 3
VirtualizingHumans INTERCEPT returns the status and blocks the export — the call does not match the request.
Action blocked
Connect to our solutions
Discover. Review. Restrict. Monitor.
AI security assessment
Review existing agents and their MCP or tool connections, regardless of who built them.
Secure agent build
Design agent-to-tool access around defined roles, permissions and approval requirements.
SABER — Secure Agent Builder for Enterprise Roles
Define the tools an agent may use, their risk levels and the approval rules that apply.
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Agent
Sales Agent
Let sales agents act on leads, not your entire CRM.
Sales agents research accounts, read email, update CRM records, schedule meetings and draft outreach. Those connections let untrusted external content — lead data, web pages, inbound mail — reach valuable customer and pipeline information.
What the agent can reach
Book a demoCRMEmailCalendarEnrichmentProposalsExport rights
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Probes malicious lead data, instructions injected into emails and web pages, unauthorised discounts, bulk data exports and unintended outreach — showing how the workflow could be manipulated before launch.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Controls live CRM, email, calendar, enrichment and sales tool calls against the assigned account and the requested task, so actions stay aligned with intent.
Example · a security decision in context
- 1
A salesperson asks the agent to research a company and draft a follow-up.
- 2
A compromised web page tries to make the agent export all CRM contacts to an external endpoint.
- 3
VirtualizingHumans ANVIL showed how that attack works; VirtualizingHumans INTERCEPT blocks the export because it does not match the request.
Export blocked
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Agent
Customer Support Agent
Resolve customer issues without exposing customer data.
Support agents search knowledge bases, read account history, update tickets, issue refunds and message customers directly. That legitimate access can be turned against the business if someone manipulates them.
What the agent can reach
Book a demoTicketsOrder systemRefundsCustomer dataKnowledge baseApprovals
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Tests prompt injection hidden in tickets, attachments and retrieved content, along with cross-customer data leakage, policy hallucination and refund abuse.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Limits CRM, order and refund tools to what the customer actually asked for, and escalates sensitive actions for review.
Example · a security decision in context
- 1
A customer asks why an order is delayed.
- 2
An attached document tells the agent to export all customer records.
- 3
VirtualizingHumans INTERCEPT allows the order lookup and blocks the export — it falls outside the support workflow’s intent.
Export blocked
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
By Agent
Productivity Agent
Connect everyday work without turning every integration into standing access.
Productivity agents summarise documents, manage calendars, search email, create tasks and share files across many systems. Their usefulness depends on broad connectivity, which also widens what they could affect if something goes wrong.
What the agent can reach
Book a demoDocumentsCalendarEmailFile sharesTasksIntegrations
How each agent is secured
VirtualizingHumans ANVIL
Find how the workflow can be manipulated.
Simulates malicious documents, email-based injection, cross-application leakage, unsafe sharing, destructive actions and poisoned tool responses to show how the workflow could be manipulated.
VirtualizingHumans INTERCEPT
Keep live actions aligned with intent.
Checks each live action against the user’s request and requires approval for destructive or sensitive operations, keeping actions aligned with intent.
Example · a security decision in context
- 1
A user asks the agent to summarise a roadmap and schedule a review.
- 2
Hidden instructions in the document tell it to share the finance folder with an external address.
- 3
VirtualizingHumans INTERCEPT allows the summary and the calendar action, and blocks the unrelated file share.
Share blocked
Build securely. Keep control as your agents evolve.
One security model
The use case changes. The security loop stays the same.
Whatever the agent does, it is secured the same way — from the first design decision to every run in production. For every agent we ask four questions:
- What is this role supposed to do?
- Which data and tools should it reach?
- How could its workflow be manipulated?
- What should happen when its behaviour drifts?
1
Define
Write the agent’s charter: role, permitted tools, data boundaries, spending limit, approval points and a named owner.
2
Test — VirtualizingHumans ANVIL
Attack the workflow before launch: prompt manipulation, tool misuse, multi-turn attacks. We prove the stop switch works.
3
Enforce — VirtualizingHumans INTERCEPT
At runtime, check the intent behind every sensitive tool call, then allow, block, constrain, redact or ask a person. Irreversible actions always need a human yes.
4
Improve
Verified findings and runtime events become stronger policies and repeatable tests. Your data never enters our library.
What you get: an agent with a named owner, a spending limit and a tested stop — whichever use case you start from.
Our Ethos
Virtualize the role, amplify the human
The best use of an agent is to give a person their time back.
Every role blends work a machine can carry and work that only a person can. Our purpose is to accelerate human potential: we hand the first kind to an agent, so the day opens up for judgment, relationships and creativity.
The agent takes
The routine, repeatable part of the work — the forms, the checks, the chasing, the summarising.
The person keeps
The judgment calls, the relationships, the creative and the unfamiliar — the work that needs a human.
The second half of the belief
An agent acting on someone’s behalf carries that person’s authority. Speed without control moves risk faster than it moves value. So we treat security as half of the purpose and build it into the foundation, rather than adding it once something has already gone wrong.
Four principles turn the belief into a way of working
Start with the role
We begin from your process and from what your people should be free to spend their day on. Results are measured against your own baseline, not a vendor benchmark.
We won’tLead with the technology instead of the people it serves.
Secure by design
Every agent has a named owner, a defined limit and a tested stop before it goes live — whether we built it or not.
We won’tShip an agent nobody owns, or bolt security on afterwards.
Proven before promised
We claim only what a production result supports, and we publish a number only once you have cleared it.
We won’tQuote unsourced multiples, or promise results we have not measured.
Yours to own
Your data, your knowledge and your code stay yours. We leave you able to run, extend and build your own agents without us.
We won’tLock you in, or keep what your teams created.
By Industry
Banking, Financial Services and Insurance
Serve customers faster without loosening control. Our agents take on the document-heavy, rules-based work across banking and insurance, from onboarding and lending to claims and underwriting. Every high-risk decision stays with your people, and every action is logged.
Core banking
Core bankingPayments & cardsLoan filesClaimsKYC & AMLCustomer records
Customer onboarding
Collects applicant details and documents, checks them for completeness and prepares each account for approval. Customers get a faster start, and your team reviews only what is ready.
KYC verification
Verifies identity documents, screens applicants against watchlists and flags anything that does not match. Your compliance team handles only the exceptions.
Loan origination
Gathers income and credit data, checks each application for gaps and builds a decision-ready credit file. Credit teams spend their time deciding, not chasing paperwork.
Loan servicing and collections
Sends timely repayment reminders, answers borrower questions and flags accounts at risk early. Hardship cases go to your team with the full history.
Claims processing
Registers insurance claims, collects evidence and checks policy coverage. Each case reaches the adjuster complete and summarised.
Underwriting support
Pulls applicant data together, summarises the risk and flags missing information. Underwriters make the decision with everything in front of them.
By Industry
Healthcare
More time for care, less time on paperwork. Our agents handle scheduling, intake, claims and reminders, in the patient’s own language. Clinicians and staff stay focused on patients, and every medical question goes to a person.
Clinical systems
PatientsSchedulingEHR recordsClaimsRemindersClinicians
Appointment scheduling
Books, reschedules and reminds patients by phone, chat or app. That means fewer no-shows and less time on the phone for front-desk staff.
Patient intake
Collects patient details and medical history before the visit and checks documents. Clinicians start each visit with a clear summary.
Insurance and claims support
Checks coverage, prepares claim documents and tracks each claim’s status. Denials go to your billing team with the full history.
Patient helpdesk
Answers questions about services, timings and billing in the patient’s language. Medical questions always go to your staff.
Follow-up and care reminders
Sends medication, test and follow-up reminders after each visit and tracks responses. Your care team follows up with anyone who misses one.
Medical records summary
Organises patient records by date and type into a clear summary. Clinicians review it before anything is saved.
By Industry
Manufacturing
Fewer breakdowns, fewer defects and fewer delays. Our agents watch your operations around the clock and bring the right information to the right person before small issues become costly. Plant teams stay in control of every decision.
The plant
Plant floorMachinesQualityInventorySuppliersShift data
Predictive maintenance
Monitors equipment signals, detects early warning signs and predicts failures before they happen. It drafts work orders, and your maintenance lead schedules them.
Quality checks
Reviews inspection data, flags defects and helps trace them back to the likely cause. Corrective actions are drafted for your quality head to approve.
Production reporting
Summarises shift data and highlights exceptions automatically. Plant leads get a clear report instead of building one.
SOP and safety assistant
Gives workers instant access to approved procedures and safety steps on the floor. High-risk tasks still need a supervisor’s clearance.
Supplier follow-up
Tracks open purchase orders, chases confirmations and flags late deliveries. It suggests alternatives so buyers can act fast.
Inventory planning
Balances stock against production plans to avoid both shortages and overstock. Planners approve every order.
By Industry
Retail
Keep shelves stocked, listings live and customers happy. Our retail agents are built with people who have run retail operations, and they handle the routine behind every store and storefront. Your teams focus on selling and serving.
Store & storefront
StoresOrdersCatalogShoppersPricingCustomer care
Returns and refunds
Checks each return against your policy and approves the simple ones automatically. Exceptions go to your staff, and customers are kept informed throughout.
Replenishment planner
Reads sales and stock levels, forecasts demand and proposes reorders. Shelves stay stocked without overbuying.
Product content writer
Writes accurate product listings from vendor facts only and checks every image. Listings go live faster and stay consistent.
Customer care agent
Answers shopper questions across chat, email and voice from your own knowledge base. Complex cases go to your team with full context.
Loyalty and offers
Reads buying patterns, groups customers and suggests the right offer for each group. Marketing approves before anything is sent.
New product onboarding
A team of seven agents takes a new product from vendor file to live listing, covering data, catalog, content, pricing and publishing. Your buyers approve the go or no-go.
By Industry
Education
Give every student a quick answer and every staff member their time back. Our agents handle the high-volume questions and admin that fill inboxes during admissions, exams and every term. Educators can focus on teaching and mentoring.
Campus systems
ApplicantsProgrammesTimetablesFeesStudentsParents
Admissions assistant
Answers applicant questions about programmes, eligibility and deadlines, guides each applicant through the application and collects their documents. Admissions teams receive complete, ready-to-review applications.
Enrolment follow-up
Finds incomplete applications and nudges applicants with timely reminders. High-intent applicants are passed to counsellors for a personal call.
Student helpdesk
Answers questions about courses, fees, timetables and policies at any hour. Complex or personal cases go to your staff.
Fee reminders and queries
Sends payment reminders and explains fee breakdowns clearly. Waiver and special requests go to your finance team.
At-risk student alerts
Tracks attendance and grades, spots falling engagement early and prepares a summary for advisors. Students get help before it is too late.
Parent communication
Keeps parents updated on attendance, events and results in their own language, by app, SMS or call. Teachers handle any concerns personally.
By Agent
Sales and Marketing
A virtual team that finds the right prospects, tailors every message and keeps your pipeline moving across email, WhatsApp, SMS and voice. It learns from every cycle, and nothing runs until you approve the team and its budget.
Revenue stack
CRMLeadsEmail & WhatsAppMeetingsProposalsPipeline
Lead research and scoring
Searches public information for prospects that match your ideal customer, builds a lead list and ranks each lead by fit. Your sales team decides who to pursue.
Outreach and follow-up
Sends personalised messages by email, WhatsApp and SMS, and follows up until there is a reply. Warm replies go straight to a rep.
Campaign content studio
Drafts on-brand content for every channel from a single brief and checks it against your brand rules. Marketing approves before anything goes out.
Proposal and RFP drafter
Pulls answers from your past proposals and product material to build a first draft in hours, not days. Your sales lead reviews before you submit.
Pipeline reviewer
Reads your CRM, flags stalled deals and suggests the next best step. Managers get a clear weekly view of the pipeline.
Renewal and upsell watch
Tracks contract dates and usage, spots renewal and upsell signals early and drafts outreach. Account owners decide how to act.
By Agent
Supply Chain
From vendor to shelf, without the chasing. Our supply chain agents take the routine work out of getting products in, priced and stocked. Your buyers, planners and finance team keep every key decision.
Supply stack
VendorsCatalogPricingStockPurchase ordersStores
Replenishment planner
Reads sales and stock levels, forecasts demand and proposes reorders. Planners approve before any order is placed.
Vendor manager
Collects product data from vendors in any format, creates one clean record per item and asks once for anything missing. Buyers confirm before it moves on.
Catalog specialist
Cleans and standardises product data, maps categories and catches duplicates. Your catalog stays accurate as it grows.
Pricing analyst
Proposes prices from cost, margin rules and competitor prices, and shows the working. Anything outside policy is flagged for your pricing manager.
Store operations assistant
Turns store data into daily tasks for managers and tracks them to done. Stock and staffing issues surface before they hurt sales.
New product onboarding
A team of seven agents takes a new product from vendor file to live listing. Your buyers approve the go or no-go on every product.
By Agent
Customer Support
Support that answers at any hour, in your customer’s own language. Agents resolve routine queries across chat, email, WhatsApp and voice, including voice in 20+ Indian languages. Your team handles the moments that matter.
Service desk
Chat & WhatsAppEmailVoiceTicketsKnowledge baseCRM
Voice agent for customer calls
Answers calls in 20+ Indian languages, understands the request and resolves common ones end to end. It hands over to a person whenever needed.
Multichannel support
Handles queries across chat, email, WhatsApp and voice from one place, with one view of each customer. Escalations reach your team with full context.
Ticket sorting and routing
Reads each request, tags it, sets its priority and sends it to the right team. Nothing sits in the wrong queue.
Call notes and follow-ups
Summarises every call, lists the action items and updates your CRM. Owners confirm the follow-ups.
Language switch and translation
Translates conversations live, so any staff member can serve any customer in their own language. Your staff stays in the conversation.
Customer feedback insights
Collects feedback from calls, chats and surveys, groups it by theme and spots recurring issues. Support leads get a weekly summary to act on.
By Agent
Human Resources
Less admin, a better employee experience. Agents handle the paperwork of hiring, onboarding, reviews and everyday HR questions. Your HR team focuses on people, and every people decision stays with a person.
People systems
CandidatesInterviewsOnboardingPoliciesReviewsLearning
Candidate screening
Reviews applications against the role, scores them and builds a shortlist. Recruiters make the final call.
Interview scheduling
Checks calendars, proposes slots, and sends invites and reminders. Recruiters handle any changes.
New joiner onboarding
Collects documents, sets up accounts and shares a first-week plan. New hires feel ready on day one.
HR helpdesk
Answers policy, leave and payroll questions instantly from your HR policies. Sensitive cases go to HR.
Performance check-ins
Gathers goals and feedback, drafts review summaries and reminds managers of key dates. Managers finalise every review.
Learning recommendations
Matches each employee’s role and goals to skill gaps and suggests courses. Managers approve, and progress is tracked.
By Agent
Finance and Accounts
Close faster with fewer errors. Agents handle the matching, chasing and checking behind every invoice, claim, payment and report. Your finance team focuses on analysis and decisions, and approves every payment.
Finance stack
InvoicesPurchase ordersPaymentsExpensesLedgerReports
Invoice processing
Reads invoices, matches them to purchase orders and flags mismatches. Finance approves before any payment.
Payment follow-up
Sends reminders for overdue payments, logs every response and escalates repeat delays. Finance decides the next step.
Expense review
Checks each claim against policy and approves the ones within policy. Exceptions go to managers.
Vendor payment planning
Checks due dates and available cash, then proposes a payment run for approved invoices. Finance approves before payments go out.
Month-end close assistant
Pulls balances, prepares reconciliations and keeps the close checklist up to date. Your controller signs off.
Financial reporting
Pulls numbers together, validates them and drafts standard reports. Your finance head reviews before they are shared.
By Agent
Procurement
Smarter buying with less back-and-forth. Agents handle the supplier admin, from registration and quotes to contracts and scorecards. Your team negotiates and decides.
Procurement stack
SuppliersQuotesRequisitionsPurchase ordersContractsScorecards
Vendor registration
Collects and verifies supplier information in one smooth flow and sets suppliers up in your systems. Procurement approves each new supplier.
Quotes and comparison
Requests quotes from suppliers, compares them side by side and recommends the best option. Buyers choose.
Purchase requests
Turns employee requests into ready-to-approve purchase orders after checking budget and policy. Approvers sign before anything is sent.
Purchase order tracking
Tracks every order from confirmation to delivery and flags delays early. Buyers resolve issues before they hit operations.
Contract checks
Extracts key terms from supplier contracts and flags risky clauses in a short summary. Legal makes the call.
Supplier scorecards
Rates suppliers on delivery, quality and cost over time and spots trends. Your team acts on weak performers.
Ganesh S
Founder & CEO
Seasoned strategist with 30+ years in cloud and partner ecosystems | Ex-Microsoft, AWS.
Ganesh brings over 30 years in cloud and partner ecosystems, including time at Microsoft and AWS. He has built partner ecosystems, driven enterprise adoption, and run large cloud and AI programmes across enterprise, SMB and public-sector markets. At VirtualizingHumans.ai he sets the direction for how agents are designed, sold and supported.
Debasish Majumdar
Chief Business Officer
30+ years of proven expertise in enterprise GTM, channel strategy and scale execution.
Debasish has more than three decades scaling businesses in regulated and consumer-led industries. His work spans national P&L ownership, channel-led growth and enterprise go-to-market execution. At VirtualizingHumans.ai he leads go-to-market strategy and execution.
Rajamani Subramaniam
Vice President, Operations
30+ years of excellence in driving operational efficiency, governance rigor and flawless execution.
Rajamani has over 30 years across IT services, delivery management and partner operations. He focuses on execution structure, workflow clarity and operational stability, overseeing pilots, partnerships and scale phases.
Saida Babu Chanda
CTO
Cloud and AI leader with nearly 20 years in enterprise technology, including 11 years at AWS.
Saida Chanda is a cloud and AI leader with nearly 20 years in enterprise technology, including 11 years at AWS, where he led solutions architecture and advised leading AWS partners on growth. Over the past 18 months he has designed and deployed 25+ AI workloads in production across 8+ industries, including HIPAA-compliant systems in healthcare. That experience taught him what separates AI that demos well from AI that holds up in real use: guardrails, auditability, cost control and human oversight built in from day one. As CTO of virtualizinghumans.ai, he applies those lessons to AI agents that take on real work inside organizations, safely and at scale.
Yogananda Karra
Head of Solutions Engineering
20+ years in cloud, enterprise architecture and software engineering.
With 20+ years of experience in cloud, enterprise architecture, and software engineering, Yogananda leads Solutions Engineering at VirtualizingHumans, shaping how AI agents are architected, built, and deployed for enterprise clients. He brings deep expertise across AWS, hybrid cloud, data platforms, and enterprise integration, helping clients bridge the gap between business ambition and production-ready AI solutions.
Book a demo
Tell us the role you want to automate. We’ll show you a working agent, with its owner, limit and stop.
Or email askus@virtualizinghumans.ai.
Let humans lead. Let agents act. Keep the trust intact.
Accelerate humans. Frontier Security.
One Ecosystem. Every Possibility.
Agents, platforms, tools and security usually come from different vendors, and the gaps between them are left to you.
Virtualizing Humans puts it all under one roof: Pre-built agents, Pick from reference agent library, partner solutions, custom built and your own on SABER.
Plug in
Securely connect your data and systems.
ExplorePick a pattern
Choose from reference agent library and pre-built agents.
ExplorePartner in
Incorporate robust third-party and partner solutions.
ExploreTailor in
Get custom agents built around your process.
ExploreBuild it Yourself
Design and construct custom agents on SABER.
ExploreAI Security
In the agentic era, your hardest risk is the thing you built yourself.
You gave an agent real access and real authority. Frontier models now reason, plan, and act in ways last year's defenses never saw coming.
Security assessment
>
01 / 05 · questions most teams cannot answer yet
At VirtualizingHumans, we secure AI agents to enable safe, trusted, and responsible autonomy.
Our Security Offerings →
See how we would secure yours.
Services
Use Cases
© 2026 VirtualizingHumans.aiPlug in: Pre-built role agents
Pick from the shelf
Choose from prebuilt role agents organized by industry and onboard them yourself, as they are. Or customize them to fit your business by adding functions, skills, memory, processes and tools to any role.
You bring
A role and access to your systems
We do
Give you pre-built agents you can onboard in a few clicks
Best when
Speed and scale matter most
Plug-in Agents
Pre-built agents for Retail, Sales, and Voice in 20+ Indian languages
Retail row
Returns & Refunds
Store Assistant
Replenishment Planner
Content Writer
Customer Care
Loyalty & Offers
Sales & Marketing row
Lead Research
Outreach & Follow-up
Campaign Studio
RFP Drafter
Pipeline Reviewer
Renewal & Upsell
Voice & Speech rowIn 20+ Indian Languages
Customer Calls
Speech to Text
Text to Speech
Call Notes & Follow-ups
Voice Ordering
Translation
HindiTamilTeluguKannadaMalayalamMarathiBengaliand more
In productionMore on the way
More Retail
More Sales & Marketing
New Industry Shelves
Video & Vision
More Languages
More Voice
Each agent is researched, built, tested, and proven in the field.
Every agent on the shelf carries an owner, a limit, and a stop.Pick a pattern: Pick it, we build it
From our reference library
Not sure what you need? Browse a library of reference agents and templates, including vetted open-source agents, and pick the one closest to your need. We customize it and build it into a working agent for your business.
You bring
A business problem, with no data required
We do
Customize and build the reference you pick
Best when
You’re not sure what you need, or want a proven starting point
How it works
From the library to a working agent
Step 1
Browse
Open-source agents and templates
YouStep 2
Pick
The one closest to your need
YouStep 3
We build
Customized to your business
UsStep 4
Go live
A working agent, ready to use
YouPartner in: Global agent solutions
Built by our partners
Pick from solutions by our global partners in speech, voice, text, video and security. We vet, onboard and manage them for you, so you get global capability through one front door.
You bring
Your requirement
We do
Check it, set it up and keep it running
Best when
You want the best fit, wherever it comes from
Partner capabilities
Passed through one vetting gate before reaching you
Global partners
Technology providers and builders worldwide
SpeechVoiceTextVideoSecurity
Our vetting gate
- Security review
- Data-handling check
- Regional and rules fit
- Commercial disclosures
- Agent passport issued
Your enterprise
- Agent deployed
- Named owner
- Spending limit
- Tested stop switch
- Managed through one front door
Global capability, held to one standard
Tailor in: Custom agents for you
Built around your process
We build custom agents around your specific processes and your knowledge base, for work where your way of doing things is your edge.
You bring
Your process and knowledge base
We do
Design, build and prove custom agents
Best when
Your process is your competitive edge
Tailor It
Five steps from your process to a measured result
Deliverable from each step
1. Understand
Map your process and knowledge base
2. Design
Design the agent around your process
3. Build
Build it on your knowledge base
4. Prove
Test it against your current results
5. Run
Launch, monitor and improve
Deliverable
A clear picture of the workAn agent blueprintA working agentProven resultsValue measured over time
Built around how you work, engineered by us
Build it Yourself: Your own agents on SABER
Built by you
Your teams build their own agents on SABER (Secure Agent Builder for Enterprise Roles). Describe a role, add the process flow, skills, tools and permissions, and SABER turns it into a ready-to-run agent, delivered as code you own and run in your own cloud.
You bring
Your builders and your process
We do
Give you SABER, plus support from our engineers
Best when
You want to own the build
Build on SABER
From a role description to a working agent
Deliverable from each step
1. Describe
Describe the role in plain words
2. Shape it
Add the process flow, skills, tools and limits
3. Generate
SABER builds a ready-to-run agent
4. Deploy
Run it in your own cloud
5. Measure
Track results against your goals
Deliverable
A clear roleThe agent’s blueprintCode you ownA live agentOutcomes you can trust
Built by your team, delivered as code you own
VirtualizingHumans.AI · AI Security
Empower every agent. Secure every action.
Autonomous agents now act on your systems with real access and real consequences, at machine speed, with no one approving every step. We keep every action they take inside the limits you set.
Book a DemoOne agent touches your whole stack. Watch how a breach moves through it.
Live attack-path analysis
live breach
sensitive node
click any node
The approach
We start where the risk actually is.
Before any control goes in, we build the picture. Every agent in your environment, the identities acting for them, the data and tools they can reach, and the distance to the standard you answer to. What we put in place closes those gaps and holds up to the audits you have to pass.
Posture scan initializing
0
Agents
0
Identities
0
Data paths
0
Gaps found
Our Framework
ARMOR
Production-grade safeguards for autonomous AI.
A five-pillar architecture for securing autonomous agents from identity and execution to memory, governance and runtime response.
ARMORcontinuous cycle
AAgent Identity & Access Assurance
Non-Human Identity (NHI) Security
RRuntime Isolation & Execution Containment
Agent Runtime Isolation & Sandboxing
MMemory & Knowledge Integrity
Protect what agents consume and retain
OOperational Guardrails & Governance
Govern what agents are allowed to do
RRuntime Threat Detection & Response
Catch and contain agents as they act
AI Security
From your AI estate to the risk it removes
The chain runs left to right, and it walks itself. Pick any box to hold it there.
Your AI Ecosystem
The Risks it Creates
Security Capabilities
ARMOR
Across Teams
The Risks it Solves
Find it
We start light, then go deep only where it matters.
- Step 1
Pre-assessment
Which agents you run, what they touch, and what your auditors expect.
You and us - Step 2
Assessment in your environment
We map agents, access, and data paths, and trace the attack routes.
Our team - Step 3
Findings and recommendations
Vulnerabilities ranked by business impact, each with a clear fix.
Our team, with your leads
Once you’re clear on the risk
Fix it, and keep it fixed
From agreement to closure, with one accountable team throughout.
- Step 4
Sign up
We agree scope, timeline, and the service level that fits you.
You and us - Step 5
Deploy and patch
Controls go in and gaps close in priority order, without stopping your teams.
Our team and global partners - Step 6
Ongoing assurance
Monitoring and maintenance as agents change, plus audit and compliance evidence.
Our team and global partners
End-to-end agent automation, every route under one roof.
Every business wants agents that work. Few want to juggle five vendors to get them. Virtualizing Humans brings it all together under one roof, virtualizing the role so your people can do more. Five ways to get your agent, one place to do it: plug in, pick a pattern, partner in, tailor it or build it yourself.
Leadership
The Leaders Who Shape Our Story
Decades of combined experience in cloud, enterprise GTM and AI execution.
Ganesh SFounder & CEOSeasoned strategist with 30+ years in cloud and partner ecosystems | Ex-Microsoft, AWS.
Debasish MajumdarChief Business Officer30+ years of proven expertise in enterprise GTM, channel strategy and scale execution.
Rajamani SubramaniamVice President, Operations30+ years of excellence in driving operational efficiency, governance rigor and flawless execution.Questions leaders ask
We welcome the comparison. Put these to everyone you are considering, including us.
Words we use, in plain language
The ideas behind everything on this site, in one line each.
- Agent
- A digital counterpart that carries a defined piece of work, under a named owner.
- Virtualize the role
- Take the repeatable part of a role and give it to an agent, so the person spends more of the day on judgment, relationships and creativity.
- Agentic frameworks
- Agents that plan, use your tools and systems, hand work to one another and ask a person where a person decides.
- Agent passport
- One record for every agent: named human owner, service and purpose, risk class, permissions, approval gates, spending limit, tested stop switch and date of last review.
- Stop switch
- You can halt an agent, and we have proved that you can.
- Approval inbox
- High-risk calls, memory deletions and access revocations wait for the right person.
- SABER
- Secure Agent Builder for Enterprise Roles: the platform for building and governing agents.
- Charter
- A contract for what an agent may do, touch and spend.
- Pre-built process package
- A team of agents with hand-offs, human decisions and controls, already worked out.
- The library
- Hundreds of use-case scenarios and templates. Customer data and customer intellectual property never enter it.
Questions leaders ask
What happens to the people in that role?
They move to the work that needs them. An agent takes on the routine part of a role, and the person spends more of the day on judgment, relationships and creativity. A redeployment plan is agreed before go-live, and it is one of the five commitments in every contract.
Is this only about AI agents?
No. Agents are how the work gets done, and the pillars are what they are built on: agents, agentic frameworks, process, data, voice and language, video and vision. A role is rarely just one of them.
Which route should we choose?
Plug in when the role is common and speed matters. Pick a pattern for a proven starting point. Partner in for global agents and security. Tailor it when the process is your edge. Build it yourself on SABER. Most clients use more than one route over time.
What is in the library?
Hundreds of use-case scenarios and templates, with agent libraries, capability modules and safeguard packs, organised by industry, use case, business problem and capability. Each entry is security-reviewed, and customer data and IP never enter it.
What is SABER?
Secure Agent Builder for Enterprise Roles: the platform for building and governing agents. You describe a role, SABER writes the agent's charter and delivers it as code you own, and everything the agent does is checked against that charter in your own cloud account.
Will our data end up in the library or in someone else's agent?
No. The library holds patterns, never client information. This is a contract rule, and not only a practice.
How do you know an agent is safe?
We do not call any agent fully secure. Each has a named human owner, permissions limited to its role, approval gates before irreversible actions, a spending limit and a tested stop switch, all recorded in its passport and reviewed on a schedule.
Can you secure agents we have already built or bought?
Yes. Our AI Security practice assesses and covers agents on any stack, whoever built them.
Do you only work on AWS?
No. We are an AWS Advanced Tier Partner Initiative and build on AWS where it fits, but we are stack-neutral, and our promise holds on whichever cloud and platform your agents run.
What do you need from us to begin?
A business leader who cares about the outcome, access to the people who know the work, and a view of the systems the agent would touch. For Tailor it, also your knowledge base. For Plug in, often far less.
How is it priced?
Pricing is being set and depends on the route. Builds are scoped as projects, the managed run and security cover are recurring, and SABER is a subscription. We agree scope and price before work starts.
Which industries do you cover?
Five verticals: Banking, Financial Services and Insurance; Education; Manufacturing and Supply Chain; Healthcare and Life Sciences; and Retail and Consumer Goods. Retail is our launch vertical, with process packages live, and Sales and Marketing runs as a practice across all five. In the other verticals we start from reviewed library patterns, and a vertical gets a pre-built package once it has a worked process, a reference client and mapped controls.
How we work together: four stages, one standard
Whichever route you take, the engagement follows the same arc. It is designed to give you value early, and to give you control at every step.
1 Explore Find the right roles
What we do togetherWalk through your operations, find the roles where an agent adds most value, and rank them by value and by risk
You decide Which roles to take forward
Leave with A ranked shortlist of roles to virtualize
2 Shape Choose the route
What we do togetherChoose the route for each role, agree the measures of success, and draw up the agent passport
You decide Whether the plan and the limits are right
Leave with A route, a plan and an agent passport
3 Launch Go live under watch
What we do togetherBring the agent into live work under supervision, with approvals and a tested stop switch in place
You decide When the agent has earned wider authority
Leave with A live agent with an owner and a stop
4 Scale Widen with proof
What we do togetherAdd roles, re-score the value, review the controls and retire what no longer serves
You decide How far and how fast to go next
Leave with More roles, with value measured
A named owner, an approval gate and a tested stop at every stage
Sources
Market figures are quoted as reported by the pages below, October 2026. Statements about gaps in the market and about how providers typically sell are our own assessment.
- 1 Software Strategies Blog: roundup of agentic AI forecasts and market estimates, February 2026, for the McKinsey figures
- 2 Outlook Business: over 40% of agentic AI projects will be scrapped by 2027, says Gartner
- 3 Palo Alto Networks: identity security landscape report, 2026
- 4 Gartner: 3 Bold and Actionable Predictions for the Future of GenAI, 5 December 2025