Rules, execution
and evidence.

OWAI OS / PRE-PRODUCTION

The control layer
for in-house AI agents.

OWAI OS sits between what an AI agent proposes and what your systems actually do. It checks each action against versioned policy, requires the authority your organisation names and records evidence your controllers can verify — on-premises or in a hybrid setup, with the model you choose.

OWAI OS is in pre-production. Each system that should act is connected once, so that it acts only on an approved decision; coverage follows the routes included in the integration.

Abstract layered visual representing governed decisionsOWAI OS / RUNTIME GOVERNANCE
01

Policy as code

Rules your compliance team can own.

Rules are written as versioned, machine-readable policy. Your compliance team can update policy without changing application code, and every decision is linked to the policy version that governed it.

Your organisation defines what the rules mean and who owns them. The runtime evaluates the encoded conditions; interpreting an ambiguous obligation remains a human responsibility.

02

Runtime engine

A decision for every proposed action.

While the workflow runs, OWAI OS evaluates each request and returns a decision — allow, deny or escalate — with its reasons. In an enforced integration, the connected system acts only on an approved decision.

The implementation includes bounded work, deadlines and explicit handling of overload and dependency failures. Performance must be measured for the selected workflow and deployment.

03

Cryptographic evidence

Evidence your controllers can verify.

Records are bound to the request, the policy version, the authority and the runtime context. Hash-linked histories and scoped signatures let reviewers check integrity and provenance within stated trust boundaries.

The evidence must keep three claims distinct: that a decision was issued, that an action was executed and that an external system confirmed the effect. Each needs its own supporting record.

04

Human intervention

Approval by a named role.

When policy requires it, the action waits for an identified reviewer with the authority to approve, reject or stop it. The reviewer’s decision is recorded with the rest of the evidence.

Which actions need review, who may give it and how the result reaches execution are defined for each integration.

DEPLOYMENT

Your infrastructure.
Your choice of model.

Agents that act on regulated systems should not depend on someone else’s cloud. OWAI OS runs where your data already lives, and it governs what an agent may do regardless of which model proposed it.

Deployment and assurance
01

On-premises

Runtime, policy and evidence store inside your infrastructure. Data, prompts and IP stay within your perimeter.

02

Hybrid

Control and evidence stay internal while selected model services run outside, across boundaries you define.

03

AI-agnostic

Swap models without re-engineering your controls. The control evidence stays comparable across model versions.

Sector rules on model validation still apply. OWAI OS keeps the control layer stable while the models behind it change.

OPERATING SCOPE

Assurance follows
the controlled path.

A pilot starts with named actions, connected executors and explicit authority sources. Alternative routes, service accounts, retries and emergency procedures belong in that assessment.

OWAI OS assurance applies to the paths actually mediated and verified. A new route to the same effect can change that scope.

Pre-production engineering development. Pilot scope and acceptance criteria are agreed for the specific integration.Discuss an integration