Practical guide
Follow the process step by step
Apply each stage in sequence. Document important assumptions, verify AI-generated information, and keep human approval at critical decision points.
- 1
Identify operational priorities
Select measurable problems involving delays, manual effort, inconsistency, information gaps, or recurring errors.
- 2
Map existing procedures
Document roles, systems, data, decisions, approvals, dependencies, exceptions, and current performance.
- 3
Choose controlled AI applications
Use AI for classification, summarization, drafting, analysis, routing, documentation, or quality checks.
- 4
Establish governance
Define ownership, acceptable use, data controls, approval thresholds, recordkeeping, and escalation requirements.
- 5
Pilot before scaling
Test the operating model on a limited process with representative users, realistic data, and measurable success criteria.
- 6
Review operational impact
Measure cost, speed, quality, error rates, employee workload, customer impact, and unintended consequences.