Govern AI
Before It Acts

KonshOS Governance raises your AI’s automation ceiling. It enables agents to reliably make and act on consequential decisions that would otherwise require human judgment and approval, carrying more work through to a complete outcome.

As a deterministic Agentic Decision Authority Layer, KonshOS separates what a model proposes from what your organization permits. Every governed determination is inspectable, reproducible, and recorded.

Discuss Deployment See KonshOS Core
An abstract governance threshold connecting proposed AI behavior to governed outcomes

The Architecture

Your Authority,
Made Operational.

The model remains free to interpret, reason, and propose. But it cannot then validate and authorize its own proposed action. KonshOS removes that self-authorization loop by applying a deterministic governance architecture, so only proposals warranted and permitted under your organization’s facts, policies, permissions, and boundaries may become real-world outcomes.

Governance identifies what the agent is actually trying to do, who or what would be affected, and what must be true for that particular action to proceed. It derives the action’s material requirements and tests each against the supplied evidence, authority, permissions, boundaries, and case state.

The complete action

A proposal is evaluated for what it would claim, commit, disclose, change, or carry forward. Acceptable wording alone cannot establish that the underlying action is supported.

Evidence and authority with provenance

Facts and approvals must come from appropriate sources and apply to the actual case. A model’s assertion that evidence or permission exists cannot substitute for that support.

Every material requirement stands independently

Confidence cannot compensate for missing evidence, a persuasive answer cannot invent authority, and strength in one area cannot conceal an unresolved governing failure.

Generative AI can be probabilistic.
Permission to act must be deterministic.

What deterministic means

Given the same proposed action, normalized case inputs, route mapping, and versioned governing configuration and state, KonshOS produces the same governance determination.

The Governing Decision

Know What Can Proceed
and Why.

Governance evaluates proposed replies, recommendations, commitments, disclosures, tool calls, and state changes before they reach a customer or change a system. It produces an explicit determination across the action’s material requirements, with a clear account of what is supported and what requires resolution.

Whether the action can proceed

Establishes whether the particular proposal has the evidence, authority, permissions, and boundaries it requires. Supported actions remain available without treating every uncertain case as a blanket refusal.

What needs to be resolved

Identifies support that is partial, missing, unusable, contradicted, expired, outside scope, or awaiting review. Shows which requirement prevents progress and what must be supplied or corrected.

Which governed path comes next

Determines whether the proposal may proceed or requires repair, hold, deferral, authorized review, escalation, refusal, or closure. Repair remains bounded, and a revised proposal must satisfy the applicable governing requirements before it can proceed.

Decision Records & Workspace

Every Governed Decision Carries Its Record.

The record is produced by the governing process as the decision is made. It connects the proposal, applicable evidence and authority, evaluated requirements, resulting determination, and the rationale for the governed path.

The Governance Workspace makes that record useful in daily operation. Teams can inspect individual cases, understand recurring gaps, calibrate their routes, and review where greater autonomy is ready to be introduced.

An abstract illustration of a decision record emerging from the governance process

Review the complete case

See what was proposed, which conditions applied, what remained unresolved, and why that governed path was selected.

Assess route readiness

Review whether a workflow has the mapping, calibration, review handling, and operating controls needed for live governance.

Calibrate with control

Submit feedback and resolve mapping or policy differences through reviewed, versioned, and tested changes.

Share a consistent account

Use decision records and exports across engineering, operations, oversight, and customer discussions. The workspace, API, and reports preserve the same governed determination and approved explanation.

Deployment & Expansion

Confirm It in Shadow Mode.
Move the Same Architecture Live.

KonshOS begins as an overlay alongside your existing models, applications, orchestration, and workflow systems. Your team controls how organizational requirements are mapped, reviews how they operate on real traffic, and approves activation.

  1. Map a consequential workflow

    Connect the relevant facts, policies, evidence sources, permissions, boundaries, and recovery paths to the Governance API.

  2. Review and calibrate

    Run real traffic in Shadow Mode without changing customer delivery. Compare decisions with your team’s judgment, resolve mapping gaps, and confirm the behavior you want to put into operation.

  3. Approve and activate

    Enable controlled live governance for the accepted route, with agreed review, fallback, and rollback controls.

  4. Expand from the same foundation

    Bring additional decisions and workflows under Governance. Each requires its own mapping and acceptance, while reusing the established integration and the same authority architecture.

Activate the same governing decision process your team reviewed in Shadow Mode, with the route’s accepted mapping, calibration, and operating controls.

The first route establishes a calibrated deployment and reusable integration. Further workflows extend that foundation through their own mapping and acceptance.

Core & the Platform

The First Expression of a Deeper Architecture.

Explore KonshOS Core Explore the Platform

KonshOS Governance is the first deployable expression of the KonshOS Internal Alignment Platform, built on KonshOS Core. Core supplies the shared internal architecture for governed judgment: evidence, legitimate authority, human values, continuity, and bounded correction remain connected throughout evaluation and resolution.

The broader platform architecture spans reasoning, action, memory, planning, adaptation, human-AI and multi-agent coordination, and persistent operation. It is implemented through progressively deeper capability layers that extend the same governing structure across the system’s cognitive and operational lifecycle.

Its larger purpose is stable cognition: AI systems that can hold intentions, preserve commitments, adapt under pressure, recover within defined limits, and remain coherent across time. Greater capability remains connected to legitimate authority, human values, and accountability as the platform extends deeper into AI operation.

Build Your AI From the Inside Out.

Put more consequential decisions into reliable AI operation, with your authority intact and every governed decision accounted for.

Discuss Deployment