Source and verify
Practitioners complete focused knowledge missions. Independent review checks quality, applicability and provenance.
How it works
We source and verify the intelligence, build around real cases, deploy within explicit authority and turn reviewed outcomes into controlled improvements.

The question
What will my team need to do, review and approve?
What we need from your team
What Intelliger builds
When worker authority can expand
What you receive at the end
Deployment principle
01Your process owner defines the outcome and enterprise boundary. Practitioners contribute the procedures, exception patterns and evidence tests that difficult cases require. Independent review tests whether that knowledge is sound and applicable.
02The worker starts by observing or preparing work. New case knowledge and controlled actions reach production only after evaluations pass and the accountable customer roles approve the release.
Launch gates
The exact sequence depends on process risk, security requirements and system access.
The process owner confirms current performance and success measures.
Procedure, data, integrations and authority limits are reviewed.
Representative cases meet the agreed release criteria.
Real cases run with the selected approval and action mode.
Measured evidence supports the next process or authority level.
A closed learning system
Intelliger links knowledge creation and enterprise execution in one controlled loop. Every stage produces inspectable assets, owners and evidence.
Practitioners complete focused knowledge missions. Independent review checks quality, applicability and provenance.
Verified inputs become decision graphs, training data, tool policies and evaluations for a specialised worker.
The worker handles bounded casework. Expert-reviewed outcomes become new cases, corrections and evaluations for a versioned release.
No case automatically rewrites the worker. Improvement passes through review, evaluation and release control before reaching production.
Shared responsibility
The launch makes those responsibilities explicit before production casework begins.
Worker responsibility
The process map, evaluations, pilot results and release decision remain visible throughout the engagement.
Discover
Establish the baseline, process map, systems, experts, approvals and measures.
Build
Capture procedure and exceptions, configure integrations and build evaluations.
Deploy
Run read-only, human-in-the-loop and then controlled actions as approved.
Improve
Analyse corrections, update procedures, rerun evaluations and version releases.
Accountable role
Decisions with material, regulated or professional consequences stay with the named accountable role.
The launch report compares the worker with the agreed baseline and documents unresolved limits.
Begin with discovery
We will determine whether it is a credible candidate for a controlled operational AI launch.