Why 70% of Enterprise AI Deployments Fail (And What the Best AI Companies Do Differently)

You bought the AI tool. Nobody uses it. Sound familiar? That $200/month sitting idle isn't a technology problem. It's a deployment problem — and even the biggest companies in the world get this wrong

You bought the AI tool. Nobody uses it. Sound familiar?

That $200/month sitting idle isn't a technology problem. It's a deployment problem — and even the biggest companies in the world get this wrong.

Here's what's rarely talked about: OpenAI and Anthropic both employ dedicated engineers whose only job is helping organizations actually use their AI tools after purchase. Not sales. Not setup. Pure hand-holding through adoption. Even enterprise companies with full IT departments need that support.

Which means your team struggling to adopt an AI tool isn't a sign you picked wrong. It's what happens when software gets handed over without a clear use case and someone accountable for making it stick.

The real failure isn't the tool. It's deploying AI to "the whole company" instead of one specific person solving one specific problem first.

Start there. Pick your most repetitive bottleneck — the task someone on your team does manually every week. Build one small AI workflow around that. Prove it works. Then expand.

One problem. One person. Thirty days. That's your real first win.

What's the one task in your business that eats the most time and feels like it should already be automated?

#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation

Original Source

OpenAI and Anthropic have Deployment Engineers and Solutions Engineers respectively, deploying ChatGPT Enterprise and Claude in large organizations — ...