Governance and compliance

Give every AI agent in your stack a permissioned, audited, and compliant operating environment.

AI pilots accumulate access quietly — to sensitive records, billing systems, patient data, customer communications. Before that becomes a compliance problem, we bring all your agents under a single sandboxed, permissioned, and fully auditable operating layer.

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Best for

Teams with sensitive systems, approvals, or compliance constraints
Companies already running pilots that need stronger control boundaries
Organizations that need AI actions to be attributable, reviewable, and reversible

Choose this when

Choose this when the workflow touches regulated data, high-risk actions, or enterprise systems that require explicit approvals and auditability.

The problem

Multiple AI pilots are running with more access and less oversight than anyone deliberately decided on.

You can't answer: if something went wrong today, could you reconstruct what happened and why?

Compliance is starting to ask questions about AI access to sensitive systems.

There's no consistent framework for deciding which agent actions execute automatically vs. require approval.

What we build

Permission tier model

We design a tiered access model: what the agent can read, what it can propose, what it can execute directly, and what always requires human approval — calibrated to your risk tolerance and regulatory environment.

Sandboxed execution environment

Agents run in a controlled environment with scoped credentials, network restrictions, and time-bounded sessions — so a misconfigured agent has a bounded blast radius.

Approval queues for high-risk actions

Actions above a defined risk threshold route to a human approval queue before applying — with the full context the reviewer needs to decide in under a minute.

Centralized audit log

Every agent action is logged: who, what, when, on whose behalf, and before/after state for any record change — queryable, exportable, and mapped to compliance requirements.

Observability and alerting

We instrument the governance layer so anomalies surface in real time: unusual access patterns, high error rates, approval queue backlogs, and out-of-envelope actions.

Systems connected

Any existing AI pilots (we work around what you've already built)
Patient records, billing, and practice management systems (healthcare)
Transaction monitoring and case management systems (fintech / compliance)
CRM, ERP, and internal databases
Compliance reporting and audit tooling

Where humans stay in control

Every action above the defined risk threshold requires human approval before it applies
Audit log is immutable and attributable — every entry has a who and why
Agents can be paused or scoped down without a full rollback
Periodic permission reviews built into the operating model

Outcomes

100%

of agent actions logged, permissioned, and attributable

Compliance-ready

audit trail that holds up in regulatory review

Zero

unreviewed write access to sensitive records

Related services

Build and ship