Choosing an AI agency looks like a technical decision, but it is really a risk-management decision. The eight points below are questions you can ask in a first call — and the answers will tell you a great deal.
1. Who writes the scope?
A good agency writes the scope itself after the first call and asks you to approve it. A team that expects you to write it is also leaving responsibility for the project with you. One page should state which flow will be solved, which systems it will talk to, what is explicitly out of scope, and the delivery date.
2. Is AI at the core, or bolted on later?
Plenty of software agencies added the word “AI” to their site in the past two years. One question separates them: “What happens in this product when the model gives a wrong answer?” If they cannot answer, they treat AI as a feature rather than a system.
3. Do they show slides or a working release?
Every agency has a demo video. What you need to see is a real screen running on data that resembles yours. A team that ships a working release every week also lets you change direction mid-project.
4. Where does your company data go?
Ask this in contract language: “Will our data be used in model training?” The right answer is a clear no. Then ask whether access is defined per role and whether operations are logged. Being able to run the solution entirely on your own infrastructure is a plus.
The most expensive mistake when choosing an AI agency is not picking the highest quote — it is picking the one with an unclear scope.
5. What happens after delivery?
Work does not end at launch. The handover package should include documentation, team training and monitoring setup. A quote that says “we will discuss that later” has simply not priced later.
6. Who is the team, and how many?
Find out in the first call who will do the work. If there are three layers between the person in the sales call and the person writing the code, your feedback will get lost in those layers.
7. How was the price built?
In a fixed-scope quote, scope, timeline, number of integrations and monthly running cost after launch should appear as separate lines. A single total number means surprises later.
8. Can they say no?
A team that says yes to every request is not managing scope. A good agency will suggest postponing some of your requests even in the first call — because the real skill is narrowing scope.
In short
When choosing an AI agency, look at scope clarity rather than the number of references. A team that puts scope in writing, shows a working release, states clearly where your data does not go, and prices post-delivery support is more reliable than a glossy portfolio.
Frequently asked questions
How do you recognise the best AI agency?
Not by the length of their reference list, but by how clearly they write scope. A good agency gives you scope, timeline and budget on a single page after the first call, shows a working release instead of a presentation, and contractually guarantees your company data will not be exposed to model training.
How long does working with an AI agency take?
Integration projects usually run a few weeks; building a product from scratch takes a few months. The exact timeline becomes clear after discovery — an agency that avoids giving one usually has not understood the scope.
