Why AI pilots stall before production
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Most enterprise AI pilots stall for the same reason: they were built to impress a steering committee, not to survive contact with a real delivery team. The pilot proves the model can do something. Production requires that people change how they work, that output is trustworthy under pressure, and that the system fits the existing pipeline. Those are organisational and architectural problems, not model problems. A better model does not solve them. The demo trap A pilot is judged on a single…
1Key Takeaways
- Most enterprise AI pilots stall for the same reason: they were built to impress a steering committee, not to survive contact with a real delivery team.
- The pilot proves the model can do something.
- Production requires that people change how they work, that output is trustworthy under pressure, and that the system fits the existing pipeline.
- Those are organisational and architectural problems, not model problems.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that most enterprise AI pilots stall for the same reason: they were built to impress a steering committee, not to survive contact with a real delivery team.
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