AI Orchestration

Agentic execution with visible plans and accountable control.

QACkt turns user intent into typed plans, chooses only allowed skills, and records every transition, approval, model route, and artifact.

Policy-firstbefore every privileged action
Typedplans, commands, and outputs
Auditableevery state transition

Capabilities

A complete working system, not an isolated generator.

01

Intent classification

Route goals to the correct suite and surface missing inputs.

02

Plan construction

Compose agent, tool, validation, and approval steps.

03

Skill policy

Restrict model, tool, environment, and write permissions.

04

Checkpointing

Pause and safely resume state-changing workflows.

05

Failure recovery

Bound retries, classify failures, and preserve partial evidence.

06

Cost visibility

Track provider, model, tokens, latency, and cost by scope.

Operating flow

Every stage is visible and reviewable.

Inputs, decisions, evidence, findings, approvals, and artifacts remain available throughout the workflow.

01

Classify

Resolve intent and required context.

02

Plan

Create a typed, policy-aware workflow.

03

Dispatch

Send scoped commands through RabbitMQ.

04

Checkpoint

Pause for accountable decisions.

05

Observe

Track state, cost, latency, and artifacts.

06

Complete

Publish validated outputs with provenance.

How it fits

Connected to the wider quality lifecycle.

This capability works with shared project context, accountable decisions, and traceable evidence from source through outcome.

01User intent: Role- and project-scoped request.
02Planner: Typed steps and capability selection.
03Policy: Allow, deny, or approval required.
01User intent

Role- and project-scoped request.

02Planner

Typed steps and capability selection.

03Policy

Allow, deny, or approval required.

04RabbitMQ

Durable command and event delivery.

05State store

Recoverable workflow and artifact state.

Engineering outcomes

What this changes for delivery teams.

1

No hidden autonomous write actions

2

Recoverable long-running workflows

3

Consistent controls across every suite

4

Clear model and execution economics

Working session

Explore AI Orchestration with your own delivery context.

Bring one requirement set, workflow, or performance concern. We will map the governed path from source to executable evidence.