AI that operates inside your controls, not around them.
Every action is the intersection of what the user, the agent, and org policy permit — fail-closed, approval-gated for anything risky, and recorded to an append-only audit.
Control is the default here.
The risk ladder and fail-closed permission math matter most here: reads run automatically, money-moving actions are always approval-gated, and destructive operations are hard-blocked. Effective permission is always user ∩ delegated-agent ∩ org-policy.
Context boundary enforcement keeps one customer’s data out of another’s session, and the model works from minimized references — so a dispute intake or a policy pre-check is explainable and auditable end to end.
Regulatory and certification claims are intentionally not made here; we describe the mechanisms — least privilege, approval, audit, provenance — not a compliance posture.
Every action an agent takes here runs through the same gate: least-privilege permissions, policy and an audit trail, with the sensitive steps held for human approval. The controls behind it are set out on the security and data-handling page.
What it looks like in practice.
Illustrative examples of what a host would configure — tool ids and risk levels are the host’s to define. The primitives underneath are built and tested.
Transaction dispute intake
An agent looks up this customer’s transactions read-only and drafts an evidence summary; filing the dispute is approval-gated, and referencing a second account is blocked at the boundary.
Loan application pre-check
Read-only policy and completeness checks produce a checklist and a context-request card listing exactly which documents are missing — the human keeps the decision.
Branch performance report
Specialist agents aggregate by product (counts and sums only) and return a variance-to-target table and a product-mix chart, scoped to the manager’s branch.
Logistics & supply chain
Agents surface what’s at risk, weigh the options, and route reroutes, reschedules, and discrepancy notes through approval — with a full audit trail.
Industry · HR & workforceHR & workforce
From self-serve policy answers to people analytics, agents read only what the user is allowed to see, keep humans in the loop on decisions, and expose aggregates without leaking individual rows.
Industry · Field serviceField service & facilities
Agents triage overdue jobs, compare candidate technicians, and let field techs log work by voice — with assignments and close-outs gated behind an explicit yes.
See governed AI for Financial services & fintech.
Book a demo and we’ll tailor the walkthrough to your sector — the governance model, the two-seam integration, and an example close to your systems.