Most AI projects stall. Here's how ours reach production.

Why most projects stop at the demo

A demo only has to work once. A production agent has to work on the hard Tuesday, with the messy invoice, the angry caller and the policy that changed last week. Most projects stall in that gap, because nobody planned for it.

The pattern is familiar. A team picks a big, exciting problem, builds something impressive in a sandbox, and then finds that legal, finance and the people doing the work were never part of the plan.

Start with one workflow

We pick one job with a clear owner, enough volume to matter and an error you can measure. Phone intake, invoice matching and refund handling are typical. One workflow means one set of rules, one person to ask and one number to watch.

Keep a person in the loop at first

For the first weeks, the agent proposes and a person approves. That sounds slow. In practice it’s how you find out what the agent gets wrong while the mistakes are still free.

Each approval also teaches you where the limit should sit. When a person has approved the same kind of action a few hundred times without changing it, you can let the agent do that alone.

Six weeks is enough

One week to audit, two to train, two on a trial shift beside your team, then live with limits and a full log. If a workflow can’t get there in six weeks, it’s usually the wrong one to start with.