Buyer guide
How to choose an AI automation agency: a simple checklist
Updated 2026-10-22
Short answer: Pick an agency that has built something similar before, explains things in plain words, puts the work in accounts you own, and tells you up front what support costs after launch. Ask to see a real example and talk to a past client if you can.
Before you talk to anyone
- Write down the task you want automated, how often it happens, and who does it today.
- Note which tools are involved (for example your CRM, email, spreadsheets).
- Decide what a good result looks like, such as hours saved per week.
Questions to ask
- Have you built something similar? Can you show it?
- Which platform would you use, and why that one?
- Will everything run in accounts we own?
- How will we know if something breaks?
- What documentation and training do we get?
- Is the first phase a fixed price?
- What does support cost after launch?
- Where is our data processed and stored?
- Who will actually do the work?
- Can we speak to a past client?
Warning signs
- They cannot explain the plan without jargon.
- They want to run it all in their own accounts.
- No mention of testing, monitoring or handover.
Using this directory
Each agency profile shows what the agency says on its own website: platforms, services, published prices and partner listings. We label partner badges as verified only when we found them in the official partner directory. Shortlist three, then ask each the questions above.
Agencies to look at
- Automation Consulting Services (United States)
- Atomic Actions (United States)
- Goodspeed (United Kingdom)
- Makeitfuture (Romania)
- Connex Digital (United States)
Browse further
Questions
How many agencies should I talk to?
Two or three is usually enough to compare approach and price without losing weeks.
Should I pick the cheapest quote?
Compare what is included. A cheaper quote without testing, documentation or support can cost more later.
Sources
Vendor prices change. Check the source page for current figures. Ranges marked "rough" are guidance from how agencies describe their work, not survey results.