Governed AI agents for regulated work — validated input, human approval, audit-grade evidence, by default. Five agents live across Banking & Finance Ops, Project Management, Legal Intake, Supplier Assurance and Energy Operations.
Every agent we build follows the same five-stage pattern. The approval gate is foregrounded for a reason.
Every request schema-checked and scoped before the agent moves.
High-risk actions require explicit human approval before execution.
Every decision logged with timestamp, owner and evidence reference.
The five-stage architecture above is the conceptual model. This is the Legal Intake agent as our team sees it in build view — every node, every gate, every audit hook, in production.
Each agent is purpose-built against a department’s actual workflow. Phase 1 demo on synthetic data in 4 weeks — no production access required.
Transaction monitoring, reconciliation flag triage, exception routing. Built for finance teams under APRA CPS 230 obligations.
Status synthesis, risk surfacing, stakeholder update drafts. Reduces project office overhead while keeping humans on every decision.
Matter classification, brief drafting, conflict checks. Built for in-house legal teams and approved external counsel intake.
Vendor risk assessment, due-diligence packs, AI risk attestation. Built for procurement and supplier risk teams.
Operational anomaly review, work-order generation, regulatory reporting drafts. Built for utilities under SOCI Act obligations.
If your workflow is sufficiently regulated, repeatable and decision-bounded, we can purpose-build an agent for it. Discovery is two weeks.
No off-the-shelf compromise. Every agent is built against the department’s actual workflow and released only after executive sign-off.
What the function exists to do. What the agent must never do. Written, signed, and held against the build.
How the work actually happens — observed, not assumed. Identifies the decisions the agent will take and the gates a human must hold.
The agent is built against the mission and workflow. Approval gates, audit logging, and rollback baked in from day one. Not retrofitted.
The team that will use the agent reviews it on synthetic data. Sign-off required before production access is even considered.
Executive sign-off against documented risk posture, control set and rollback plan. Then — and only then — the agent goes live.
Phase 1 demos run on synthetic data that mirrors your workflow. Leadership sees what the agent does — and what the gates and audit trail look like — before any production access is granted.
This is the right way to show your board what’s possible before a full build is commissioned.
Every agent has a named human owner in the department that uses it. Not a vendor, not IT.
Documented kill-switch authority and tested rollback procedures. Refreshed every six months.
High-risk actions queue for human approval. Auto-allowed actions are still logged with role and time.
Every material decision logged with timestamp, owner, evidence reference and retention period.
Drift detection, performance baselines and anomaly alerting on every production agent.
Quarterly agent posture report to executive and risk committee. Same format every time.
Thirty minutes. No pitch. No proposal until it makes sense.
Book a diagnostic