A pilot project is a small-scale generative AI implementation used to evaluate feasibility, learn from results, and adapt before broader deployment. It supports a crawl-walk-run approach: start small, define clear objectives, and avoid expecting immediate results. section 1.7
Use the pilot to connect business priorities with implementation decisions:
- Select a use case likely to deliver value; it should guide model selection, data preparation, and resource allocation. section 1.7
- Evaluate outcomes, learn from deployment, and adapt the application before expanding its scope. section 1.7
- Establish governance for data ownership, privacy, security, bias, hallucinations, misuse, and human-task automation. section 1.7
