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Choose an AI pilot around a business decision

Choose an AI pilot around a business decision

Start with a workflow, a baseline and a person who owns the result.

Illustration of a team discussing a technical plan

Look for the repeatable friction

The strongest pilot starts with work that is frequent enough to measure and bounded enough to understand. It may be a document queue, a search problem or a repeated system handoff. Record the current cycle time, error patterns and review effort before selecting a model.

Check whether AI is the missing part

Some delays come from unclear ownership or disconnected systems. Fixing a rule, permission or integration may create more value than adding generation. Use AI where interpretation, extraction, prediction or language is genuinely needed.

Choose representative evidence

Include messy documents, missing fields, ambiguous requests and the situations in which the system should stop. A demonstration built only on easy examples cannot show whether the workflow is ready for operation.

Agree the decision before running the pilot

Write down the acceptance criteria, review owner and operating-cost limit. A useful pilot ends with a reasoned choice: expand, adjust the process, or stop. The business needs a delivery decision more than a demonstration.

Common questions

What is the practical starting point?

The strongest pilot starts with work that is frequent enough to measure and bounded enough to understand. It may be a document queue, a search problem or a repeated system handoff. Record the current cycle time, error patterns and review effort before selecting a model.

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