What to look for · Chapter 05
How to evaluate an AI automation agency
Every agency sounds good on its website. The job is to tell real experience from a good pitch. Score each agency the same way. This chapter gives you the criteria, a scorecard and the questions to ask.
“In God we trust; all others must bring data.”
What to look for in an AI automation agency
Focus on evidence of delivery, not breadth of services. Five things matter most.
- Experience — have they done work like yours?
- Fit — do they know your use case and platforms?
- Process — is delivery clear and repeatable?
- Ownership — will you own the code and data?
- Proof — case studies, references, their own use.
How to score agencies (a scorecard)
Score each shortlisted agency the same way. Rate every criterion from one to five. Weight the ones that matter most to you.
| Criterion | What good looks like | Weight |
|---|---|---|
| Relevant experience | Case studies in your use case | High |
| Delivery process | Discovery, build, test, support | High |
| Ownership | You own code and data | High |
| Integration fit | Works with your existing tools | Medium |
| Communication | Clear, responsive, honest | Medium |
| Pricing clarity | Transparent, tied to scope | Medium |
Add the scores across your shortlist. The highest total is rarely the flashiest pitch. A radar chart makes the trade-offs easy to see.
How to read case studies
A case study should prove a result, not just describe a project. Compare what strong and weak ones look like.
| Strong case study | Weak case study |
|---|---|
| Names the client | Anonymous or vague |
| Shows real numbers | No metrics at all |
| Explains the approach | Just lists a tool |
| Links to a reference | No one to call |
Then verify the claim. Ask for the client name and a metric. Vague numbers with no source are a weak signal.
How to check references
A reference call reveals what a pitch hides. Ask the same questions of every reference.
- What was the agency like to work with?
- Did they hit the timeline and budget?
- Who owns the code and data now?
- What broke, and how did they respond?
- Would you hire them again?
Judge delivery, not the pitch
The best test is simple. Ask how they'd automate one real workflow of yours. A strong agency asks about your process before proposing a tool. Their thinking tells you more than any credentials list.
Green flags and red flags
✅ Green flags
- Named case studies with numbers
- Asks about your process first
- Quantifies ROI before you commit
- Happy for you to own the build
🚩 Red flags
- Pitches a tool before your problem
- Promises to “10x” or replace your team
- Vague answers to technical questions
- No clear plan for ownership or support
Common mistakes when evaluating an agency
Key takeaways
- Score every agency on the same criteria.
- Demand case studies with named clients and numbers.
- Call references about timeline, ownership and support.
- Test their thinking on one real workflow.
Ready to compare agencies?
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Browse the directoryFrequently asked questions
How do I evaluate an AI automation agency?+
Judge proven, relevant delivery over a long service menu. Ask for case studies with real numbers and named clients. Check references and see if they've run automations for themselves. Then ask how they'd approach one real workflow of yours. Their thinking matters more than credentials.
How do I compare AI automation agencies?+
Score each on the same criteria — experience, process, ownership, integration, communication and pricing. Rate every one from one to five. Weight what matters most to you, then add the scores. The highest total is rarely the flashiest pitch.
What makes a good AI automation case study?+
A strong case study names the client, the problem and the result. It shows real numbers, like hours saved or errors cut. It explains the approach, not just the tool. Vague claims with no client and no metrics are a weak signal.
What questions should I ask an agency's references?+
Ask what the agency was like to work with. Did they hit the timeline and budget? Who owns the code and data now? What broke, and how did they respond? Would they hire the agency again? Honest answers reveal more than a pitch.
Does an AI automation agency need experience in my industry?+
It helps, but it isn't essential. Relevant use-case and platform experience often matters more than your exact industry. A strong agency learns your context fast in discovery. Look for proof they've solved a similar problem before.
How do I know if an agency is any good before hiring?+
Watch how they scope one real workflow of yours in the first call. Good agencies ask about your process before pitching a tool. Ask if they run automations in their own business. A small paid pilot is the surest test.
What are green flags in an AI automation agency?+
Green flags include named case studies with numbers. Look for a clear delivery process and honest talk about limits. They ask about your process first. They quantify likely ROI before asking you to commit. And they're happy for you to own the build.