Illustrative governance model: a full-section network in which AI-requested actions converge on ORION for policy and authority evaluation before a governed outcome is issued.

Controlled AI execution governance

Authority before action.

Kodana AI Suite is an AI governance control plane that determines whether an AI-requested action is authorised before execution.

KAIS places ORION between intent and enterprise action—applying policy, issuing or denying permits, and producing evidence for accountable operations.

No permit. No execution.

01 / Definition

AI execution governance is the control layer that determines whether an AI-requested action is authorised before that action reaches a model, tool, data source or enterprise system.

What KAIS does

Three outcomes, one control plane.

KAIS governs the requests around AI models and tools, turning policy and authority into explicit permit, denial or escalation decisions.

01

Decide before the action reaches anything.

Evaluate every governed request against policy and context before it reaches a model, tool, data source or enterprise system.

02

Every decision produces evidence.

Record what was requested, which authority applied, what was decided and why as a reviewable evidence object.

03

Autonomy inside limits you can see.

Keep AI workflows inside declared operating boundaries, with explicit denial and human escalation paths.

Public architecture

Where KAIS sits.

KAIS sits between an AI-requested action and the systems that action would touch. ORION evaluates the request against policy, context and authority before bounded execution can proceed.

ILLUSTRATIVE GOVERNANCE FLOW
Illustrative control flow. Only a permitted request reaches bounded execution; permit, denial and escalation decisions all produce accountable evidence. This is not live telemetry, customer activity or production evidence.
Read the public architecture brief

Buyer pathways

Built for the people who own the risk.

One governance system, viewed through the distinct questions of accountable enterprise stakeholders.

Board & risk leaders

Understand where AI execution risk sits, how authority is assigned and what evidence reaches oversight.

Follow this pathway

Technology leadership

See how a control plane can sit alongside existing models, tools and enterprise systems without replacing them.

Follow this pathway

Security & assurance teams

Review the control boundary, fail-closed behaviour, escalation paths and public assurance surface.

Follow this pathway

AI operations teams

Design day-to-day workflows with explicit permits, operating boundaries, evidence and human escalation.

Follow this pathway

Controlled evaluation pathway

A scoped, evidence-led path—not a rollout.

Every evaluation is bounded by agreed objectives, constraints and success criteria. Technical and governance review remains separate from any later deployment decision.

  1. 1Governance discovery
  2. 2Use-case classification
  3. 3Controlled architecture review
  4. 4Bounded evaluation design
  5. 5Evidence and outcome review
  6. 6Deployment decision
Discuss a Controlled Evaluation

Public assurance library

Documentation for diligence.

Public, high-level material for initial diligence. Protected runtime evidence and confidential architecture are reserved for controlled review.

01Governance OverviewPublic draft
02Public Architecture BriefPublic draft
03Security PrinciplesPlanned
04Data Handling StatementPlanned
Open the assurance library

FAQ

Common questions.

Direct answers about KAIS, ORION and the controlled evaluation pathway.

What is AI execution governance?

It is the control layer that determines whether an AI-requested action is authorised before it reaches a model, tool, data source or enterprise system.

What is KAIS?

Kodana AI Suite is an AI governance control plane for applying policy, authority and evidence to consequential AI-requested actions.

What is ORION?

ORION is the authority layer within KAIS. It evaluates a declared request context and returns a permit, denial or escalation outcome.

Does KAIS replace AI models?

No. KAIS is designed to govern requests around models and tools; it is not a model or an AI assistant.

How does a controlled evaluation work?

It moves through governance discovery, use-case classification, architecture review, bounded evaluation design, evidence review and a separate deployment decision.

What is available during technical diligence?

Public-safe governance and architecture material is available here. Protected implementation detail and operational evidence require an appropriate controlled review process.

Kodana AI Suite

Begin a Controlled KAIS Evaluation

Discuss your AI governance requirements, operating boundaries and evaluation objectives with Qordova Labs.