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How to choose an AI implementation agency: a 10-point checklist

A practical checklist for evaluating AI partners — what to look for, the red flags to avoid, the questions to ask, and when to build in-house instead.

2026-05-109 min read

The short answer

Choose an AI implementation agency by evidence, not marketing: look for shipped production work, a measurement-first approach, transparent pricing, and honesty about what AI cannot do. The right partner reduces your risk by starting small and proving value before scaling — and is comfortable telling you when AI is the wrong tool.

What to look for

Prioritise a track record of systems running in production, not just demos. Ask whether they measure outcomes and can show before-and-after numbers. Check that they integrate with real business systems, handle security and data residency, and plan for maintenance after launch. Depth in your language and market — Arabic-native quality and regional compliance, for instance — matters more than a long client logo wall.

Red flags to avoid

Be wary of guaranteed outcomes, vague pricing, and 'AI for everything' enthusiasm with no talk of limits or risk. Watch for partners who can't explain how they'll measure success, who skip security and governance, or who quote a fixed price before understanding your data. Impressive demos that never reference production, monitoring or failure modes are the biggest tell.

Questions to ask

Bring a short list to the first call: Can you show a comparable system in production? How will we measure ROI, and what baselines do we set? What happens when the AI is wrong or unsure? Who owns the code, data and models? What are the ongoing costs after launch? Honest, specific answers tell you more than any pitch deck.

In-house vs agency

Building in-house makes sense when AI is core to your product and you can hire and retain scarce talent for the long term. An agency makes sense when you want results faster, lack specialised AI engineers, or are still proving where AI pays off. A common middle path is to partner first, ship a few wins, and transfer knowledge to your team as capability grows.

The best partner is happy to work this way — earning the relationship win by win rather than locking you in. That alignment is itself a signal worth weighing.

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