Business AI: from prototype to controlled use
A convincing prototype is a starting point. Professional use also needs evaluation, integration and clear responsibilities.
Choose a specific need
A bounded use case makes evaluation easier: classify a document, extract information or prepare a draft. Define the expected outcome and the situations where the tool must request human input.
Evaluate before expanding
Representative cases help reveal errors, omissions and useful results. Assess quality in the business context, using criteria agreed before deployment.
Keep human checkpoints
AI agents can assist several tasks, but distributing work does not remove responsibility for validation. Sensitive operations and published deliverables need appropriate controls.
Include data and people
Access rights, permitted data and the processing environment should be defined at the start. User training, incident tracking and operational feedback then help refine the solution.