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Choosing an AI integration partner: request an evaluation and data-flow deliverable

2026-10-13
1 min read
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Ask suppliers to respond to one concrete task in your existing software. A broad AI portfolio gives less evidence than a relevant, bounded proposal.

Share the application context

Provide permitted inputs, expected outputs and integration constraints. Identify reviewers and unresolved decisions. Keep data access tied to the investigation.

Require useful deliverables

Request evaluation cases, failure examples and the proposed data flow. The supplier should state recurring operating work and internal responsibilities.

Compare the pilot

Review accepted outcomes and correction effort. Ask whether another engineer can maintain the integration from its handover. Avoid treating an impressive demonstration as a substitute for product-specific access checks, deployment evidence and documented limitations.

Related reading : Moving an AI proof of concept into an existing product. Discuss your project scope with Sky Vaults.

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