Why most AI implementations fail in the first 90 days
The pattern is almost always the same: scope creep, untested integrations, and unclear ownership. Here's how to avoid it.
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Field notes from shipping AI systems into real businesses.
The pattern is almost always the same: scope creep, untested integrations, and unclear ownership. Here's how to avoid it.
What separates a voice agent that books meetings from one that sends people running. Five lessons from production deployments.
A practical framework for prioritizing which workflows to automate first — and why the obvious ones are rarely the right ones.