How to Own Your AI System: the Ownership Checklist
How to own your AI system and keep it yours, with 9 contractual, technical and operational checks to repeat on a schedule and an exit you rehearse.
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How to own your AI system and keep it yours, with 9 contractual, technical and operational checks to repeat on a schedule and an exit you rehearse.
AI vendor lock-in sits in three layers, the data, what the system learns and the model. What to ask before you sign, and what a good answer sounds like.
The difference between data and knowledge in a business is the difference between what happened and why. The reasoning must be written down as you decide.
Compounding business knowledge works because knowledge is not used up. Every answer you keep can serve later questions, provided it is written back.
What owning your AI system actually means, in things you can point at: the files, the trail behind every answer, the rules, the credentials, and the exit.
What key person risk in due diligence costs a seller, why documented process affects valuation, and why the evidence cannot be built just before a sale.
Where to store company knowledge, comparing drives, wikis, Microsoft 365 and an owned intelligence system on reasoning, answers, freshness and exit cost.
Every tool you rely on holds a slice of what you know, and none of it leaves in a usable form. The bill arrives as re-derivation, not a line item.
Bring the processes slowing your team down. We'll map the best opportunities, sketch a phased plan and tell you where to start.
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