CoreWeave Systems

Insights

How to Pilot an AI Assistant at Work

Plan a controlled AI pilot with one audience, clear acceptance criteria, and a go/no-go review.

A pilot is a controlled way to learn whether an assistant helps a team with one task. Start where people can review the output before anything consequential happens. Agree on a test set and a review period before granting broader access.

Choose one task and cohort

Name the task, the team that already performs it, and which actions stay with staff. Choose examples that people can review quickly. Identify the approved data sources and the account boundary. Tell pilot users where to report unsupported answers, restricted information, or an unexpected action.

Write success and stop conditions

Record the behavior expected for common, ambiguous, and disallowed requests. Decide how reviewers judge usefulness, correctness, and whether an answer is supported. Set a stop condition for a severe error or an access issue. Keep the existing work route available while reviewing a problem.

Review the operational tradeoff

Collect representative examples and record time spent on review and correction. Compare results with the existing process using the same kind of work. Separate an issue with the source material from a problem with the assistant. Decide whether to adjust the task, continue the limited pilot, or stop.

Example

Pilot support reply drafts that staff review before sending.

What to do next

Expand only after the team can explain both the useful outputs and how it will handle the recurring failures.

Discuss the workflow you want to improve

Share the task and the systems involved.

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