See what’s running
We identify all AI systems, workflows, and data flows.
About Qapitol
The control layer for enterprise AI.
AI is moving faster than control. Qapitol makes it visible, measurable, and accountable — so enterprises can see what is running, fix what they cannot control, and produce the evidence required to sign off.
What we do
AI is no longer experimental. It’s already embedded.
It runs across the enterprise — the apps people touch, the workflows that move work, the engines that decide. Qapitol exists to bring all of it under control: discover the systems, evaluate behaviour and risk, implement control mechanisms, produce sign-off-ready evidence, and keep watching in production.
Customer-facing systems
Internal workflows
Decision engines
Automation layers
From invisible AI to signed off
Most organisations cannot answer
- What AI systems are running across the enterprise?
- Who owns them?
- How do they behave in real conditions?
- Can they be approved or defended?
Why this matters
AI risk isn’t theoretical anymore.
It’s happening now
- Decisions made by systems that are not fully understood
- Workflows triggered without proper oversight
- Outputs that cannot be explained
- Compliance that exists only in documentation, not in systems
Traditional approaches don’t work
QA can’t test non-deterministic AI
Test scripts assume a fixed answer. AI doesn’t give one.
Governance can’t control live systems
Policy on paper doesn’t constrain a model in production.
Audits need evidence that doesn’t exist
You cannot show what was never captured.
A new category of enterprise risk
AI systems that cannot be signed off.
Our approach
Assurance is a continuous operating capability — not a one-time exercise.
Fix what you can’t control
We implement validation, monitoring, and governance across systems.
Prove it’s safe
We create evidence for approval, audit, and regulatory readiness.
Keep it that way
We continuously monitor, evaluate, and improve AI systems in production.
Every system ends up in one of two states
Approved
Cannot be signed off — with clear reasons
How we’re different
A control layer across the AI lifecycle — not AI testing.
Three dimensions of assurance, working together — across the app people touch, the agent that acts, and the data underneath both.
Application Assurance
Test and evaluate AI-powered applications, copilots, and user-facing experiences.
Agent & Workflow Assurance
Validate autonomous agents, tool calls, and multi-step workflows in production.
Data & Evaluation Assurance
Govern the data, retrieval, and evaluation layers your AI depends on.
How the control layer works
Powered by
AI evaluation engines
Workflow assurance systems
Compliance & verification platforms
Quality intelligence
Partner ecosystem integrations
The technology matters — but the outcome is what counts. You don’t buy tools. You gain control.
How we work
Our engagements follow a clear path.
This model moves enterprises from
UncertaintyVisibility
RiskControl
Compliance intentEvidence
What we believe
Five beliefs about AI you can sign off on.
Everything we build follows from these. They are why assurance has to be independent, operational and evidence-led.
AI is non-deterministic.
The same prompt can decide differently tomorrow. Traditional QA was never built to make that signable.
Governance on paper isn’t control.
A policy document can’t stop a model from drifting. Real control is operational, in production, and continuous.
You can’t sign off on what you can’t see.
Visibility is the precondition for accountability. If a system is invisible, no one can responsibly approve it.
Autonomy without accountability is liability.
The more an agent can do on its own, the more it matters that you can prove what it did.
Evidence turns hope into sign-off.
Evidence is what turns “we hope it’s fine” into “we signed off” — the only thing a risk owner can stand behind.
Why independent
A company doesn’t audit its own books. Its AI shouldn’t sign off on itself either.
Assurance only carries weight when it’s independent of the team that built the system. That separation is exactly what makes a financial audit credible — and it’s what makes AI evidence credible too. Qapitol is that independent party for your AI.
Why Qapitol
Three strengths, brought together.
Quality Engineering DNA
Deep expertise in testing, validation, and reliability.
AI-Native Capability
Evaluation, agentic workflows, and AI-specific assurance models.
Operating Model
A scalable approach to delivering control, not just advice.
We’ve worked with high-growth startups, regulated enterprises, and global organisations operating at scale — across industries where control matters.
Selected clients
GMGSun & Sand SportsEquiTrustQure.aiGames24x7UdaanLeadSquaredArvind LifestyleEltropyShipBobPropertyGuruGoodRxPersistent SystemsBlue DartWiproZaggleFamPayLendingkartHyperVergeGreyOrangeRupeekJumbotailAllen Career InstituteIcertisUpstoxUrban CompanyFlipkartBookMyShowLulu GroupFarEyePharmEasyLenskartMyntraSwiggyGrowwCREDPhonePeHDFC Bank
Our vision
To become the control layer for enterprise AI.
A world where
- Every AI system is understood
- Every decision is traceable
- Every workflow is controlled
- Every organisation can confidently sign off on AI
Our mission
To make AI systems visible, measurable, and accountable.