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Intelliger

How it works

From one process to production.

We source and verify the intelligence, build around real cases, deploy within explicit authority and turn reviewed outcomes into controlled improvements.

Team reviewing the stages of an operational AI launch

The question

What will my team need to do, review and approve?

01

What we need from your team

02

What Intelliger builds

03

When worker authority can expand

04

What you receive at the end

Deployment principle

Every stage produces something your team can inspect.

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 worker does not gain authority because the demo looked good.

The exact sequence depends on process risk, security requirements and system access.

  1. Baseline accepted

    The process owner confirms current performance and success measures.

  2. Design approved

    Procedure, data, integrations and authority limits are reviewed.

  3. Evaluation passed

    Representative cases meet the agreed release criteria.

  4. Pilot controlled

    Real cases run with the selected approval and action mode.

  5. Expansion justified

    Measured evidence supports the next process or authority level.

A closed learning system

Build from verified expertise, deploy into real work and learn only through review.

Intelliger links knowledge creation and enterprise execution in one controlled loop. Every stage produces inspectable assets, owners and evidence.

01

Source and verify

Practitioners complete focused knowledge missions. Independent review checks quality, applicability and provenance.

02

Compile and evaluate

Verified inputs become decision graphs, training data, tool policies and evaluations for a specialised worker.

03

Deploy and improve

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

Process owners, experts, security teams and Intelliger each have a defined role.

The launch makes those responsibilities explicit before production casework begins.

Worker responsibility

Four stages. Each ends with something your team can review.

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

Human judgement and approval

Decisions with material, regulated or professional consequences stay with the named accountable role.

Customer process owner
Customer subject-matter experts
Security and system owners
Authorised approvers
Intelliger delivery and evaluation team
Agreed change and release process
Decision to expand

End with a go, change or stop decision.

The launch report compares the worker with the agreed baseline and documents unresolved limits.

  • 01Cycle-time change
  • 02Human-effort change
  • 03Completion quality
  • 04Correction patterns
  • 05Escalation patterns
  • 06Suitable next scope

Begin with discovery

Bring the process owner and the cases that show the real work.

We will determine whether it is a credible candidate for a controlled operational AI launch.