How to evaluate an AI pilot before approving production
A practical evaluation framework covering task quality, workflow completion, exceptions, operating cost, and production controls.
Decision resources
These articles are written for buyers and technical owners evaluating production decisions, not for publishing volume.
A practical evaluation framework covering task quality, workflow completion, exceptions, operating cost, and production controls.
A failure-oriented approach to testing retrieval, permissions, citations, answer support, and stale knowledge in an AI knowledge system.
How to choose a legacy modernization path from business behavior, data risk, team capability, reversibility, and operating constraints.
A practical guide to schemas, provenance, confidence, business rules, reconciliation, and exception queues for document data extraction.
A first-assessment checklist for access, production behavior, data, releases, backups, incidents, dependencies, and ownership.
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