What “production-grade” actually means for AI agents
A chatbot that demos well is not an agent you can trust in production. Here's the line between the two — and how we hold it.
It's never been easier to build an agent that looks impressive for ten minutes. It's still hard to build one you'd connect to your CRM, your billing system, and your customers. The gap between those two is where most projects quietly fail.
The non-negotiables
Production agents earn trust through structure, not vibes. Before we let an agent take a real action on a real system, it has to clear four bars:
- Guardrails & policy on every step — the agent can't do what it shouldn't, by construction.
- Evals against real tasks — measured behaviour, not anecdotes.
- Observability — full traces, metrics and cost per run, so you can see exactly what happened.
- Human-in-the-loop — approvals where the stakes justify them, autonomy where they don't.
Managed, not abandoned
An agent isn't a one-off delivery; it's a system that lives alongside changing data, tools and models. We run ours as a managed service — monitored, evaluated and improved as usage grows — because that's the only way the reliability holds.
The test we apply is simple: would we put this agent in front of our own customers, on our own product? If not, it isn't ready.