1. Assess suitability
Describe the task, users, sources, constraints and current workflow. Establish whether the data is suitable and AI is needed. The output is a prioritised scenario, identified risks and a bounded pilot proposal.
2. Run a pilot with acceptance criteria
Agree control questions, tolerable failures and usefulness measures. Use approved data and a limited user group. The decision to continue rests on results, not an impressive demonstration.
3. Prepare for deployment
Review permissions, capacity, monitoring, backups and integrations. Identify who accepts and operates the system. Verify recovery, rollback and behaviour when dependencies are unavailable before release.
4. Introduce the system deliberately
Begin with a defined scope, training and feedback channel. Observe real questions, refusals and corrections. New archives do not become accessible automatically.
5. Maintain and reassess
Model, document and business-process changes pass repeatable checks. An agreed plan defines upgrades, incident response and service exit. Timescales and pricing follow scope assessment.
The information flow
- Assessment
- Pilot
- Acceptance
- Rollout
- Operations
Models and documents run on your infrastructure. Network policies determine permitted connections.