AI Governance & Trust
Powerful AI, kept honest. Guardrails, PII masking, data scoping, human-in-the-loop approvals, five-tier model routing, evaluations, spend controls and a full audit trail — so every agent does only what it should, on data it is allowed to see, and you can prove it.
Overview
AI is only useful if you can trust it. Governance is not a feature bolted on the side — it wraps every agent, on every department’s data, on the same platform that holds the records.
Guardrails constrain what an agent may say and do; PII is detected and masked; agents see only the fields the user may see; people approve high-stakes actions; the five-tier router picks the right model at the right cost; evaluations catch drift; and every prompt, decision and action is logged and reversible.
Explore AI Intelligence Layer →- ✓ Guardrails on every agent
- ✓ PII detection & masking
- ✓ Field-level data scoping
- ✓ Human-in-the-loop approvals
- ✓ Evaluations & drift checks
- ✓ Spend controls & budgets
- ✓ Full, tamper-evident audit trail
How AI stays governed
Guardrails
Constrain what each agent can say and do, with allow and deny rules on topics, tools and actions.
PII masking
Detect sensitive fields and mask them before they ever reach a model.
Model routing
Routes each task across five model tiers, from local models to large hosted ones, to pick the right model at the right cost.
Evaluations
Score outputs and catch drift before it reaches a customer, with a gate on release.
Spend controls
Budgets, rate limits and per-team caps keep AI spend predictable, not a surprise bill.
Audit trail
Every prompt, decision and action logged in a tamper-evident trail, with record changes you can roll back.
Four controls on every agent action
An agent request passes through each of these before it can touch a record or reach a customer.
Guardrails & policy
Topic, tool and action rules decide what the agent is even allowed to attempt. Off-policy requests are refused, not answered.
Data scoping
The agent inherits the asking user’s field-level privileges, so it can read and write only what that person could — and PII is masked on the way to the model.
Human-in-the-loop
High-stakes actions pause for a person to approve, reject or edit before anything is committed to your records.
Audit & rollback
Every step is logged in a tamper-evident trail, and record changes an agent made can be reversed.
Live in four steps
Set policy
Define guardrails, permissions, approval gates and budgets.
Ground & scope
Agents see only the data each user is allowed to, with PII masked.
Guard & evaluate
Guardrails and evals check every output; a person approves high-stakes steps.
Audit
Everything is logged, reviewable and reversible.
How governance wraps the agent
The Flow-Cognition Agent runs a real loop on your data — grounded in your records, governed and logged.
Sense
Reads every agent request and the data it is asking for.
Decide
Applies guardrails, the user’s permissions, the right model tier and any approval gate.
Act
Executes, evaluates and logs — reversible and fully audited.
Five-tier model routing · field-level permissions · full audit trail. See the AI layer →
Built for Indian data rules
Governance is not only about the agent — it is about where your data lives and who can reach it.
India residency
Your data stays on infrastructure in India, under a DPDP-aligned platform.
ISO 27001
Operated to ISO 27001 practices, with the same controls that secure the rest of the platform.
One governance model
The access, policy and audit controls on your records extend to every agent, not a separate silo. See Security →
Where teams put it to work
Regulated industries
Prove exactly what AI did and on what data, with a trail a reviewer can follow.
Enterprise rollout
Roll AI out to every team under one governance model, not ten different ones.
Data protection
Keep PII masked and your data in India, on a DPDP-aligned platform.
Questions, answered
Guardrails, PII masking, data scoping, human-in-the-loop approvals, model routing, evaluations, spend controls and a full audit trail — across every agent.
Sensitive fields are detected and masked before a model sees them, and field-level permissions gate who and what can reach them.
Approval gates where a person signs off, edits or rejects a high-stakes action before it is committed to your records.
A chain across five model tiers, from local models to large hosted ones, that picks the right-sized model for each task at the right cost.
Yes. Budgets, rate limits and per-team caps keep AI cost predictable.
Yes. Every prompt, decision and action is logged in a tamper-evident, reversible trail, with your data resident in India.
Run AI you can stand behind
Start free, or get a guided walkthrough with our team — on the one platform that runs the AI Intelligence Layer and your whole business.