Quick Answer
Moving a GenAI proof of concept into production requires more than a working model. Before production, enterprise teams need defensible answers to six questions: 1. Business value: Is the problem important enough? 2. Data readiness: Is the required enterprise data actually ready? 3. Technology fit: Can the capability operate inside the existing technology environment? 4. Evaluation: Have you defined what “good” means? 5. Ownership: Who owns what happens after the POC? 6. Deployment: Is there a defined route from validation to deployment? If one or more remain unresolved, the organization has a GenAI Execution Gap.
A proof of concept answers: Can we build it?Production readiness answers: Can the business operate it reliably, securely and usefully enough to justify deployment?
GenAI production readiness is the point at which an enterprise can determine, with sufficient evidence, that a use case can operate reliably within its intended business workflow, data environment, technology architecture, governance requirements, and success criteria.
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