AI your auditor can follow

Every step is logged and every decision is attributed to a person or an agent. Odokai gives compliance teams AI they can audit, without slowing down the people who use it.

Controls built in.

Approvals, traceable actions and model controls come with every workflow.

Without governance manual review, fragmented tools, and no reliable audit story
With Odokai human approvals, model controls, and attributable workflow history
Same people less assembly work, more judgement on high-risk decisions

Evidence for auditors.

The platform enforces your governance rules and keeps the records auditors and risk teams ask for.

A policy checker agent reports 214 contracts checked, compliance by clause and the six findings for legal.
A policy check across 214 contracts: compliance by clause, the six findings for legal, and the proposed wording.

Exportable audit logs

Track model calls, workflow steps, and execution history with timestamps and full export capability.

Human approval checkpoints

Insert approvers where consequential decisions happen so accountability remains with the right humans.

Approved model catalogue

Restrict teams to approved models and prevent sensitive data from being routed through unapproved providers.

Role-based access controls

Scope model and workflow access by role so teams operate only inside their authorised boundaries.

Governance and spend controls

Control workflow execution paths and budget boundaries at a platform level with clear enforcement.

Private deployment options

Run on our shared platform, in a dedicated instance we manage, or in your own cloud account, depending on jurisdiction, data sensitivity and control needs.

Less manual collection.

Agents collect and draft. Your team reviews, handles exceptions and signs off.

Swipe or scroll horizontally to compare all columns.

Workflow Before With Odokai
Recurring document review Subject-matter experts read everything from scratch AI handles first-pass analysis while humans review exceptions
Compliance reporting Analysts collect and format data manually Drafting is automated; analysts focus on sign-off and exceptions
Contract and policy redlining Every revision starts manually with limited traceability First-pass changes are generated against known standards and then reviewed
Operational approvals Decisions are scattered across email and chat Approvals are explicit, auditable, and embedded in workflow execution

Security.

Information for procurement, security and compliance reviews.

  • Control-aligned architecture: designed for strict governance and evidence-led operating models
  • Authenticated access and RBAC: enforce who can run which models, agents, and workflows
  • Sensitive-data-aware logging: capture security-relevant events without exposing protected content
  • Jurisdiction clarity: UK-registered company and clear accountability posture
Shared
fastest path to initial production workflows
Managed
a dedicated instance in a cloud account we run
Your cloud
a dedicated instance in your own AWS account

Can you prove AI is under control?

Your auditor, regulator and board need to see that AI is used properly, under control and with clear accountability.

Start with one workflow.

Pick one compliance process. We scope it, build it, put it into production and hand it over to your team.

From the blog

Notes on governed models, operational automation, and how teams move from AI-assisted pilots to broader adoption.