Platform • Governed Execution Layer
HOW IT WORKS

A governed runtime for autonomous execution.

ARCHAI-D sits between intelligence and action—enforcing authority, constraints, and auditability before any tool, workflow, or operation is executed.

  • Governance before execution — not monitoring after.
  • Signed decisions — Proof-of-Decision artifacts.
  • Action gating — allow / deny / constrain / escalate.
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Core Idea

Models generate possibilities. ARCHAI-D governs actions.

AI is moving from “answers” to “execution.” Once an AI system can trigger tools, APIs, workflows, infrastructure, or physical operations, governance must be architectural—not reactive.

ARCHAI-D enforces what is allowed to happen, under explicit authority and constraints.

What it prevents

Ungoverned execution failure modes

  • Unintended actions and tool misuse
  • Policy and compliance violations
  • Unsafe escalation in high-risk workflows
  • Untraceable decisions (no audit proof)
Execution Pipeline

Plan → Proof-of-Decision → Gate → Execute

ARCHAI-D runs a deterministic decision pipeline that binds intent, evidence, and policy into a signed artifact (PoD), then gates execution based on constraints, authority, and risk. If conditions fail, the system halts or escalates to human review.

1) Plan

Generate candidate action paths under goals and constraints.

2) Proof-of-Decision

Bind evidence + policy + scope into an inspectable record.

3) Gate & Execute

Allow / deny / constrain / escalate before actions run.

Component

QER-GATE

The enforcement boundary. QER-GATE validates every action against policy and constraints before execution.

  • Allow / deny / constrain / throttle
  • Approval gates and human routing
  • Safe exit and fail-closed behavior
Component

ITR

Planning intelligence that selects stable trajectories under constraints—optimized for lawful stability, not just probability.

  • Goal-to-plan decomposition
  • Stability scoring over time
  • Constraint-aware path selection
Component

IRST

Truth fusion that consolidates multiple signals into one inspectable decision state—reducing conflict, drift, and ambiguity.

  • Evidence binding and provenance
  • Conflict detection and resolution
  • Replayable decision continuity
Authority Model

Authority becomes explicit.

ARCHAI-D treats permissions and constraints as first-class primitives. Actions are only permitted within a defined scope, with enforced thresholds and stop-rights.

  • Permissions: what actions are allowed
  • Constraints: limits, thresholds, boundaries
  • Exit conditions: stop, fallback, escalate
Integration

Fits around your stack.

ARCHAI-D does not replace your models. It governs how they act. Deploy around your agent framework, toolchain, and workflows to enforce execution control at the boundary.

Next Step

Ready to govern autonomous execution?

We’ll walk through a real gating flow: plan → PoD → constraints → execution → audit logs.