Begin with a useful business outcome. Build around approved information, clear ownership, and measurable results.
1. Discover
Understand the current process, the people involved, the available data, and the cost of delays or repetitive work. Choose a focused first project.
Related reading: AI readiness: what to automate first.
2. Architect
Define the workflow, connected systems, access boundaries, approval gates, and deployment approach. Confirm assumptions before implementation.
Related reading: Connect AI to the systems you already run.
3. Build and validate
Test with representative examples and the people who will use the system. Review quality, exceptions, and practical time savings before expanding.
4. Improve with evidence
Monitor the agreed measures, review failures, and refine the workflow. Keep accountable owners and human review for consequential actions.