Enterprise AI adoption is most effective when it begins with a specific business problem rather than a general desire to use artificial intelligence.
Identify a workflow where AI might improve speed, quality, accessibility or decision support. Establish how the process currently works and what measurable improvement would justify a change.
Check data availability, privacy, security, accuracy requirements and the consequences of incorrect outputs. Choose a bounded use case and test it with appropriate human oversight. Compare the results with the existing process before considering wider deployment.
Organisations should also establish governance: who approves use cases, who monitors performance and how errors or incidents are handled. AI tools may be unsuitable for decisions requiring reliability or accountability beyond their demonstrated capabilities.