AI · Governance
A compliance gate between the model and the person.
An AI system is only as usable as it is accountable. We design the controls that decide what a model may do, check what it produced, and keep a record anyone with authority can read — before the output reaches a customer, a patient or a record.
The controls
Six controls we build in.
Designed into the architecture from the first sprint, not added once a regulator asks.
Compliance gate
A mandatory review step — automated checks, human approval, or both — between every AI-generated recommendation and the person it’s for.
Guardrails
Input and output rules that keep a model inside its brief: allowed topics, required disclaimers, blocked actions and data it must never expose.
Agent registry
A record of every AI agent in use — what it’s for, which model and prompts it runs, what it may access, and who owns it.
Usage & token ledger
Every model call attributed to a user, agent and purpose, so cost, volume and behaviour can be traced after the fact.
Audit trail
Inputs, outputs, reviewer decisions and changes logged immutably — the evidence an auditor asks for.
Explainability
Sources, reasoning and confidence surfaced alongside an answer, so a reviewer can judge it rather than just trust it.
How it runs
From request to record.
The path every governed AI output follows.
- 01 · REQUEST
Scoped input
Guardrails check the request and strip data the model shouldn’t see.
- 02 · GENERATE
Registered agent
A known agent, on a known model and prompt version, produces the output.
- 03 · CHECK
Compliance gate
Automated checks run; sensitive outputs are routed to a qualified reviewer.
- 04 · DELIVER
Approved output
Only what passed the gate reaches the person, with its sources shown.
- 05 · RECORD
Audit trail
Input, output, decision and cost logged — legible to an auditor later.
Where it matters
Built for workflows with consequences.
We map these controls to the rules your organisation answers to — sector regulation, internal policy, or the AI framework you’ve adopted.
Financial advice
In our AI financial planning product, no recommendation reaches a customer without passing the compliance gate.
AI financial planning →Healthcare
Call summaries and scheduling agents operating inside a HIPAA boundary, writing to the patient record.
Healthcare communications →Software delivery
AI that audits code and requirements, with its own decisions logged and reviewable.
AI delivery →Connect & consult
Planning AI where the stakes are real?
Talk to Prithipal Thakur about the controls your context needs — before the first model call goes to production.