How it works
See what happens between assessment and a production worker.
We baseline one process, build the worker around real cases and expand its authority only after your process owner accepts the evidence.
Deployment principle
No big-bang automation and no mystery handover.
Your process owner and experts show us how the work actually runs, including exceptions and judgement calls. Representative cases reveal whether that description holds up in practice.
The worker starts by observing or preparing work. It gains controlled actions only after evaluations pass and the accountable customer roles approve the next boundary.
The worker does not gain authority because the demo looked good.
The exact sequence depends on process risk, security requirements and system access.
Stage 01
Baseline accepted
Process continuity
The record moves forward to design approved.
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.
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
End with a go, change or stop decision.
- 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.