Move AI from demo to durable production system, without burning your roadmap.
AI pilots fail in predictable patterns.
These are engineering problems.
The mistake CTOs make is treating the AI program like a research effort and staffing it with researchers.
Build the evaluation harness, the observability layer, and the deployment pipeline before changing the model. The first thirty days produce nothing the customer sees.
Move the pilot from the demo environment to production traffic on 5 to 10 percent of users. Keep it behind a feature flag.
scale, and prove value
Ramp traffic, harden the system, and produce the business case. The last phase is when the program either earns its next budget or doesn't.
Build the evaluation harness, the observability layer, and the deployment pipeline before changing the model.
Move the pilot from the demo environment to production traffic on 5 to 10 percent of users.
Ramp traffic, harden the system, and produce the business case.
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Talk through how this applies to your roadmap with our engineering leads - a working session, not a sales pitch.
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