Successful AI deployments rarely start with the technology. They start with a business process that is well understood, measured and painful enough that improvement is clearly worth the effort.
Choose the first workflow carefully
Look for high-volume, rules-based work with clear quality measures and limited downside if an error slips through.
Pilot with a small team
Run the new process alongside the old one, compare results and collect feedback from the people doing the work.
Scale with governance
Before expanding, set rules for data access, human review and monitoring, so the system stays reliable as usage grows.
Key takeaways
- Choose the first workflow carefully
- Pilot with a small team
- Scale with governance
