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Technical reference for governed workflow systems.

This page answers core technical evaluation questions for control-plane architecture, qualification, workflow boundaries, and evidence operations.

Quick links

Concepts

What is a control plane?

Atlast sits between request intake and enterprise systems, governing how workflows are allowed to execute.

Inference can assist classification and context assembly, but action execution is controlled by explicit policy checks, workflow state rules, and approved system contracts.

Control-plane guarantees

  • Policy-gated state transitions
  • Approved interface contracts for system actions
  • Deterministic escalation on policy or confidence boundaries
  • Run-level trace capture and replay support

Pilot model

How pilots work

Pilot execution follows a fixed sequence with explicit entry and exit gates.

Step 1

Qualification scope

Define target workflow, integration boundaries, and production risk constraints.

Step 2

Control and integration mapping

Map action contracts, transition guards, and escalation boundaries.

Step 3

Pilot run definition

Set measurable outcomes, evidence requirements, and ownership model.

Step 4

Readiness decision

Approve or block production based on control coverage and operating readiness.

Qualification

Is Atlast a fit for my org?

A strong fit usually meets these operating and governance conditions.

Workflow-heavy operations with high triage load
Need for strict policy and governance controls
Multiple enterprise systems that must remain in place
Operational ownership for escalation and incident response

Workflow design

Designing a bounded workflow

Bounded workflows are specifiable, testable, and governed through deterministic transition controls.

  • Explicit request contract and schema validation
  • Deterministic transition path with blocked invalid states
  • Approved action interfaces for every execution step
  • Escalation path for uncertainty and policy exceptions
  • Trace and replay support for every workflow run

Evidence

Audit and replay model

Each workflow run produces an evidence record that supports review, replay, and incident reconstruction.

Run record includes

  • Request classification and routing decisions
  • Context sources and retrieval scope
  • Policy checks and precondition outcomes
  • Executed actions and interface responses
  • Escalation chain, owner, and resolution evidence

Operational use

Operations teams use replay records for incident reconstruction and workflow correction. Governance teams use the same records for audit review and policy verification.

Engagement

Qualification and security review

Technical qualification packet and security architecture review run through the Engagement page.

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We can scope a governed AI data system aligned with your infrastructure constraints.

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