
Why most enterprise AI pilots never ship — and how to get yours to production
The demo dazzles. Then the project stalls for months. Here is where enterprise AI pilots actually die, and the four stages that get one past it.
Plain-spoken takes on connecting AI to your ERP safely — adoption, cost, security, and getting from pilot to production. No pitch, just the thinking.

The demo dazzles. Then the project stalls for months. Here is where enterprise AI pilots actually die, and the four stages that get one past it.

Giving an AI a credential is the fastest way to let it act — and the fastest way to lose control of what it does. Here is the difference a governed layer makes.

The server is the cheap part. The real cost of building your own MCP integration is everything that keeps it alive — hosting, pipelines, testing, and a specialist hire.

MCP brings real capability, but integrating it into production is not plug-and-play. The challenges worth planning for — and the value of having each one handled for you.

An emerging standard is a moving target. For an enterprise, that usually means cost. It doesn't have to — if the churn lands somewhere other than your roadmap.

An AI assistant that takes thirty seconds to answer stops getting used. When the question spans a lot of ERP records, speed comes from how the tool calls are run.