AI Automation Platform Evaluation Checklist

When you evaluate an AI automation platform, ignore the demo and check the boring layers. The demo is designed to close you. What decides whether the thing survives contact with your business is the orchestration, the failure handling, the audit trail, the connectors, and how hard it is to leave. If a vendor cannot give you a straight answer on those five, walk. Here is the checklist I run before I put any platform under a company I care about.

Does it orchestrate, or just run prompts

Start here, because this is what separates a platform from a wrapper.

Ask how it routes a request to the right agent. You want explicit, readable routing, not one giant prompt pretending to be a system. Ask how state passes between steps and whether you can inspect it mid run. Ask whether you can compose agents into sequences without writing glue code for every path.

If the answer to all of this is one big model call, it is not a platform, it is a prompt. Real agent orchestration is the product. Everything else sits on top of it.

What happens when an agent fails

This is the question that exposes toy platforms fastest. Everything works in the happy path. Ask about the unhappy path.

What happens when an agent times out. When it returns malformed output. When an upstream API is down. When a step half completes.

You want specific answers: retries with backoff, fallback to a simpler path, escalation to a human, and a job that does not silently vanish. If the failure story is "it errors out," that error is now your operations problem at the worst possible time. This is a huge part of why most enterprise AI features fail. Nobody designed the failure path.

Can you see what it did

If you cannot replay a run, you cannot trust it. Full stop.

Ask whether every run is logged with inputs, outputs, and the decisions in between. Ask whether you can pull up one specific job from last Tuesday and see exactly what each agent received and produced. Ask whether that record is exportable and yours.

This is the same standard I hold everywhere: build the audit trail in from the start, not as a compliance bolt-on. When something goes wrong, and it will, the audit trail is the difference between a five minute fix and a week of blind guessing. It is also what lets you prove reliability to a serious buyer later.

Does it connect to your actual tools

An automation platform that cannot reach your systems automates nothing. Check the connectors before you fall in love with the interface.

Does it talk to the tools you already run, your CRM, your database, your email, your internal APIs. How does it handle auth and permissions per connection. Can it act with scoped access instead of god mode. Can you add a connector to something custom without waiting on the vendor's roadmap.

Shallow integration is where a lot of demos hide. The agent looks smart until it needs to actually touch your stack and cannot.

Can you leave

The last question is the one vendors like least, which is exactly why you ask it.

Can you export your workflows and your run history. Is your logic stored in a form you control, or locked in their proprietary format. If you left tomorrow, what do you keep and what evaporates.

A platform you cannot exit is leverage the vendor holds over you forever. I evaluate everything with the exit in mind, the same way I think about vendor lock in across the whole stack. Own your escape route before you need it.

Run the checklist, then decide

Five questions. Orchestration, failure handling, audit trail, connectors, exit. A platform that answers all five clearly is worth your money. One that dodges even one of them is a risk you are underwriting yourself.

I built Girard AI to pass this exact checklist, because it is the checklist I use on everything else I depend on. Do not buy the demo. Buy the layers underneath it, and make the vendor show you every one. If they can, Girard AI is where I would start.