Perspective
From pilot to production: scaling AI in the enterprise
What good looks like
A concise framework technology leaders can apply to the next investment decision.
STEP 01
Start with a product outcome
Define the decision, workflow or experience the system must improve before selecting models or tooling.
STEP 02
Evaluate continuously
Build quality, safety, cost and latency evaluation into delivery rather than treating testing as a final gate.
STEP 03
Connect the operating workflow
Design human ownership, exception paths and enterprise integrations alongside the AI experience.
STEP 04
Run it as a product
Observe drift, feedback, adoption and unit economics after release, with a team accountable for evolution.
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