genumisWe've shipped dozens of agents to production and collected the mistakes that most often get in the way of projects. They're easy to avoid if you know about them in advance.
1. Too broad a scope at the start
Trying to automate "everything at once" leads to fuzzy requirements. Start with one scenario that has a clear success metric.
2. No access to data
An agent is only as good as its tools and data. Without integrations into your systems, it stays a demo.
3. No human in the loop
Not every decision should be handed over fully to automation. A well-designed handoff of complex cases to a human builds trust.
4. Ignoring metrics
Without a baseline, you can't prove the effect. Record your numbers before launch.
5. Launching without observability
Logs, traces, and response quality evaluation are mandatory. Otherwise you won't understand why the agent is making mistakes.
A proper implementation process removes these risks. At genumis, we stay with the project from pilot to production.