It can be, if the consultancy can answer five questions clearly: where your data is processed, whether it is used to train anyone’s model, what access the system has, how its actions are logged, and who owns the result. If those answers are vague, the data is not as safe as it should be.
AI systems are only useful when they work with real business information: customer orders, supplier invoices, pricing, contracts. That is exactly the information you cannot afford to lose control of. A sensible buyer asks about data before asking about features.
Ask which AI services the system uses, where they run, and where any stored data sits. You are looking for specific answers, not reassurance.
Business-grade AI services offer terms under which customer data is not used to train their models. Make sure the consultancy uses those services and will confirm it in writing.
The system should use its own controlled access to your ERP, mailboxes and portals, with only the permissions the job needs. That way it can be audited, limited and switched off cleanly, the same as any member of staff.
Every record the system writes should be traceable to the email or document that caused it, and every decision it was unsure about should be visible to a person. If something looks wrong, you should be able to see exactly why it happened.
The safest arrangement is a system built in your own environment and accounts. The code, the configuration and the data stay with your business, whoever supports it in future.
Our founder spent a decade building automation inside some of the world’s largest financial institutions, and we hold our systems to that standard. More on how AI connects to your existing systems and how to choose an AI consultancy.
It can be, if the consultancy can show you where your data is processed, who can access it, whether it is used to train anyone else’s model, and how every action the system takes is logged. Ask for those answers in writing before any build starts.
It should not be. Business-grade AI services offer terms under which your data is not used for training. Ask the consultancy which services they use and to confirm this in writing.
Only what the job requires. A well-built system uses its own controlled access with the minimum permissions, so it can be audited and switched off without affecting anyone else.
You should. Ask for the system to be built in your own environment and accounts, so the code, the configuration and the data stay with your business if the relationship ends.
A practical checklist: production proof, who does the work, data and ownership, a small first project, and what happens after go-live.
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