A two-week, fixed-price audit that finds the customer, financial, and operational data your AI tools are touching — and tells you exactly what to fix first.
No frameworks, no vendor decks, no abstract maturity models. We trace what your AI is actually doing inside your stack — and we write down what we find.
We trace where your customer, financial, and operational data is actually going. Which AI tools see it, which staff are pasting it in, which integrations have read access, and which vendor terms quietly allow training on your records.
You probably have ten AI tools in use and a list of three. We map every AI tool, account, and integration across your departments, then flag the duplicates, the orphaned subscriptions, and the unmanaged logins.
If you've shipped a chatbot, summarizer, or RAG-based assistant, we test what it actually does under real conditions. We look for hallucinations, model drift, retrieval that returns the wrong document, and outputs that quietly contradict your source systems.
We check your AI use against GDPR, the EU AI Act, financial data handling rules, and any industry regulation you operate under. You get a written list of what is fine, what is borderline, and what would not survive a real audit.
Some processes should never have been automated. Others were automated badly and now hide errors no one can find. We identify the workflows that need a human back in the loop and the ones that need to be ripped out entirely.
We walk through the findings, defend the priorities, and answer the hard questions live.
No deck. No filler. We come to defend our conclusions, and we leave you with a plan you actually believe in.
Most AI consultants have never built the systems your AI is touching. We have.
Tesima designed and shipped Tesima Studios — a working platform that combines CRM, ERP, and bookkeeping in a single system. We architected the customer data model. We built the financial records layer. We handle subscription billing, multi-module permissions, and the compliance posture that comes with all of it.
That matters because your AI rollout is not a model problem. It is a data architecture problem, a permissions problem, and a financial-records problem dressed up in a chat interface. We know where the risks hide because we have spent years building the exact kinds of systems your AI tools are now reaching into.
One scope. One price. The audit stands on its own — you are free to take the report to any vendor you like, or hand it to your internal team.
A 60-minute working session. You walk us through your stack and the things that worry you. We send a short access checklist the same day.
We work through the five areas, interview the people actually using the tools, and test anything you have in production. One mid-point check-in.
Written report delivered. 90-minute readout call with your leadership. You leave with a prioritized plan you can act on the next morning.
Remediation projects run $15,000 to $60,000 depending on scope. Optional. Scoped from the findings. You decide whether to do it, when to do it, and with whom.
Twenty minutes on a call. No deck, no pitch. You describe your setup, we tell you whether the audit is a fit, and we tell you straight if it isn't. If it is, you'll have a written report in your hands two weeks after kickoff.
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