Method
Your AI employee, in six steps.
Every deployment progresses in stages, with an explicit deliverable, owner and approval gate.
A simple, direct customer journey
- 01
Audit
Understand your needs and systems.
- 02
Learning
AI learns your business and processes.
- 03
Testing
Validate on real, measured cases.
- 04
Validation
You stay in control. Green lights.
- 05
Deterministic AI
Compile the rules and transition.
- 06
Scale up
Progressive, measurable deployment.
What happens at each stage
01Audit+
Analyses your needs, systems, volumes and decision points.
Deliverable : Pilot scope, process map and baseline metrics.
Validation : Approval of scope, access and objectives.
02Learning+
Learns your business, documents, rules and processes; connects tools through APIs or vision.
Deliverable : Private business memory and learned processes.
Validation : Review of knowledge, connections and access rights.
03Testing+
Runs scenarios on real cases and measures results, errors and exceptions.
Deliverable : Documented test results, gaps and corrections.
Validation : Verification of quality criteria and stop mechanisms.
04Validation+
Configures green, amber and red controls and presents actions for authorisation.
Deliverable : Approved rules and a human supervision matrix.
Validation : Explicit human approval before production.
05Deterministic AI+
Compiles stable, validated processes into deterministic algorithms; defines when exceptions return to AI.
Deliverable : Compiled processes with checks and exception handling.
Validation : Validation of equivalent results before the transition.
06Scale up+
Deploys progressively, tracks metrics and prepares scope extensions.
Deliverable : Operational, monitored and documented processes.
Validation : Results review and a decision to extend, correct or retain the scope.
