How to choose an AI implementation partner.
Choose the partner who starts from your workflow, shows results on real data, puts a named engineer on your project, and agrees in writing how success is measured. This is the checklist we would want if we were buying. Eight questions, and what a good answer sounds like. It applies whether you pick us or someone else.
What does an AI implementation partner actually do?
An AI implementation partner designs, builds and runs AI systems inside your business, rather than selling you a tool or a strategy deck.
That is different from an AI consultant, who mostly advises, and from a software vendor, who sells you one product. A partner connects AI to the software you already use, tests it on your own data, and stays until the result is measurable. Our own version of the offer is on the AI implementation partner page.
Because the label is new, the market is crowded and the quality is uneven. The checklist below is how to tell the difference before you spend money.
Which eight questions should you ask before you sign?
Put these to every firm on your shortlist, in writing if you can. The answers matter less than how specific they are.
Do they start from your workflow, or from a tool?
A good answer: they ask how your week runs before naming any product. Be careful with anyone who arrives with the solution already chosen.
Can they show it working on real data?
Ask for a live system on a client's actual data, or a build on yours. A demo on invented sample data proves almost nothing.
Who actually builds it?
Ask to meet the engineer who will own your project. Find out whether the person selling the work is the person doing it.
What happens when the AI is wrong?
It will be, sometimes. Look for sources shown with every answer, a person approving anything that leaves the building, and a plan for uncertain cases.
Who owns the code, data and prompts?
You should, in writing. Ask what happens if you leave: can another team pick it up, or is it locked inside the vendor's platform?
How do they price it?
Look for a short paid discovery that ends in a written scope and quote. Be wary of a firm price before anyone has seen your process, and of open-ended retainers with no deliverables.
How will they prove it worked?
Agree the number before you start: hours returned, response times, follow-ups closed. Measure it before and after. If the number did not move, the work is not finished.
What happens after launch?
Suppliers change invoice formats and models change behaviour. Ask who monitors the system, who fixes it, and what that costs.
What does a good answer look like next to a weak one?
- Starting point
- Good: "Walk me through your week." Weak: "Here is our platform."
- Proof
- Good: a working system on real client data. Weak: slides and sample data.
- Who builds
- Good: a named senior engineer you can meet. Weak: "our team", unnamed.
- When it is wrong
- Good: sources shown, human approval, logs. Weak: "our model is very accurate".
- Ownership
- Good: you own code, data and prompts. Weak: it lives in their platform.
- Pricing
- Good: paid discovery, then a written fixed scope. Weak: a number before they have seen anything.
- Success
- Good: hours or money, measured before and after. Weak: "adoption" and "engagement".
- After launch
- Good: monitoring and a named fixer. Weak: handover and goodbye.
How can you test a partner before committing?
Start with one process, not the whole business. Ask for a short paid discovery that ends in a written plan, then a first system on a single job, measured against a number you set together. If it pays for itself, extend it. If it does not, you have lost weeks rather than a year.
Also ask about the cheaper options. A good partner will tell you honestly if software you already pay for can do the job. We do, on every audit call, and it is why the call is free.
Related guides: how the engagement runs on the partner page, and the engineering depth behind it in AI Transformation and AI & LLM Integration.
Who is this guide for?
Owners and operators of businesses of roughly 5 to 200 people who are weighing up an AI project and want a fair way to compare firms, including us.
- Want a chatbot for your website, WhatsApp or support inbox? We build those, with hand-over to a person. See AI & LLM Integration.
- Automating or reshaping roles in your company? We plan that with you. See AI Transformation.
- Need engineers embedded in your team instead? See Forward Deployed Engineers or Dedicated AI Teams.
Choosing an AI partner, answered.
Ask eight things: do they start from your workflow, will they show results on your own data, who does the work, what happens when the AI is wrong, who owns the code and data, how they price, how they measure, and what happens after launch. A good partner answers all eight in writing before you sign.
Ask who will actually build it, whether they can show a working system on a client's real data, how they test accuracy, which data reaches which AI provider, what you own at the end, and how they will prove the hours saved. Vague answers to any of these are the warning sign.
A fixed price before anyone has seen your process, a demo on invented data, no named engineer, no answer on what happens when the AI is wrong, contracts that keep the code or prompts with the vendor, and success measured by activity instead of hours or money saved.
Neither is automatically better. What matters is whether the people who sell the work are the people who build it, and whether your project is large enough to matter to them. Ask to meet the engineer who will own your build.
A first working system on one process is realistically a matter of weeks, not quarters. At Zeki the first system is typically live in 4 to 8 weeks, running on the client's own data. Be wary of any plan that shows nothing working for six months.
Usually not. A good partner connects AI to the tools you already use, such as Google Workspace, Microsoft 365, your CRM and accounting software, and tells you honestly if software you already pay for can do the job.
Put these eight questions to us.
A free 30-minute audit call. We will answer every question on this page about Zeki, and tell you honestly if the best fix is something you already own.