Because the client received something they do not fully understand, built on a process they never formally defined or owned.
You built the AI Agent using the information they gave you. They approved it during the demo. Then it entered the real business and started making decisions or completing tasks in ways that did not match how the team actually operates.
That gap often stays hidden until something goes wrong.
At that point, the client has to decide whether to invest more time correcting the process, retraining the team, and updating the AI Agent, or quietly stop using it. Many choose the second option because the implementation feels harder to maintain than expected.
The AI implementations that stick are built on processes the client already understands, recognizes, and supports.
When the business process documentation exists before development begins, the handoff becomes confirmation rather than discovery. The client understands what the AI Agent is doing because the underlying workflow was already reviewed, documented, and approved.
Better Business Performance helps create that ownership before the build, increasing the likelihood that the AI Agent is adopted and used after handoff.