The demo is a carefully prepared 20-minute call with clear instructions and a working connection. The real test comes at 2:47am on a Sunday, three weeks in, when access to the customer’s records quietly expires and the AI can’t save the deal it just followed up.
Keeping the work running is part of the service. Every AI employee we deliver has four safeguards behind it:
- A monitor that automatically restarts the connection service if it crashes.
- Monitoring that emails us, rather than the customer, when a task fails or a scheduled job misses its agreed time.
- Saved guidance with a change history, so a bad edit to the AI’s instructions can be undone.
- A queue of drafts that pauses for human review before anything leaves the customer’s systems.
These safeguards are easy to leave out of a demo. A successful call tells you little about whether failures will be spotted three weeks later. If the system stops working silently, the customer discovers the gap only when the work is missed.
We learned this the hard way and now treat these checks as the minimum. Before starting any task, we ask: what information does the AI need? Which actions can run without approval? What must a person review? What alerts us before a customer notices something has slipped? Those questions shape the product more than a model’s test scores do.
A useful service has to look after those safeguards long after the demo ends.
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