Exportable audit logs
Track model calls, workflow steps, and execution history with timestamps and full export capability.
AI Inside Your Compliance Framework.
Every step logged. Every decision attributed. Every workflow defensible. Production AI your auditors can follow, without slowing down the people who run the process. Build compliance apps and workflows in-house. Cancel the external compliance tools and consultant retainers they replace.
The gap between "AI works" and "AI is operational"
The outcome compliance buyers need is simple: prove control without slowing delivery. Odokai gives you governed production workflows with explicit approvals, traceable actions, and clear model accountability.
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
Approve AI with evidence, not assumptions
Governance works when it is enforced by the platform, with auditable evidence available for auditors, regulators, and internal risk teams.
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 managed, in your cloud, or air-gapped depending on jurisdiction, data sensitivity, and control needs.
Same team. Better risk outcomes.
The repetitive collection and drafting burden drops. Teams focus on review quality, exception handling, and accountable decisions.
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 |
Designed for security-first organisations
Built to help procurement, security, and compliance stakeholders approve production AI without losing operational control.
- 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
Managed
fastest path to initial production workflows
Private cloud
run in your AWS, GCP, or Azure estate
Air-gapped
support strict isolation and data handling requirements
The question is not whether AI works
The real question is whether you can prove to your auditor, regulator, and board that AI is being used properly, under control, and with clear accountability.
That is what governed AI means in practice.
One workflow. One month. Measurable compliance outcome.
Pick the compliance process everyone complains about. We help scope it, ship it in production context, and transfer operating ownership to your team.