Can you leave your AI vendor without losing your company knowledge?

Inventory what you would need to move

The original documents are only part of an AI knowledge service. You may also depend on source metadata, audience mappings, prompts, evaluation cases, connector configuration and operating procedures. List what your team owns, what it can export and what must be rebuilt. Do not assume an export of chat transcripts is an export of the service.

Identify the authoritative knowledge outside the vendor. Your company should know where current approved guidance lives and who maintains it, even if the assistant is unavailable. If the only useful version of a procedure exists inside a proprietary configuration, continuity and exit are more difficult than the document inventory suggests.

Ask for a usable export, not just an export feature

Have an authorized technical reviewer inspect a representative export. A file that downloads successfully may still omit essential fields or depend on an undocumented vendor format. Record the missing items and estimated rebuild work. Do not let a reassuring contract clause replace the exercise.

Illustrative editorial photograph, not a customer result.

Separate portability from identical behavior

Moving the same sources and instructions to another model does not guarantee identical answers. Keep a held-out evaluation set with supported answers, appropriate abstentions, denied users and source changes. Rerun it against a candidate replacement. Compare accepted task outcomes rather than word-for-word similarity alone.

If a replacement changes tone but preserves correct guidance, that may be acceptable. If it introduces an unsupported action or mishandles audience permission, stylistic similarity is irrelevant. Your task and security owners determine which differences matter and which gates must pass before switching.

Rehearse service continuity

Can employees find the current guide and support contact without the assistant? Can the operating team identify outstanding drafts and uncertain downstream actions? Disabling one service must not lead to duplicate submissions when another service starts. Use stable task references and destination checks for connected work.

Test the manual route in a permitted exercise. Record who communicates the change, who helps users and who verifies that important source references still work. A vendor transition is also an operating change, not just a data transfer.

Price exit work before signing

Include export assistance, rebuilding configuration, revalidating access, retesting and temporary support in the procurement discussion. These costs vary by actual implementation. Do not invent a universal switching-cost percentage. Ask for assumptions and ownership in the proposal, then distinguish demonstrated portability from work still pending.

Complete the Company AI Source Register and AI Connection Scope Worksheet so your own team can describe the service independently. The NIST AI RMF provides broader lifecycle governance context; this exit inventory is our suggested planning aid. Request a portability-focused demo and ask SimplSolutions what your team owns, how it remains usable and what a maintained intelligence layer needs to connect with the systems you already use.

Put this to work this week

Ask for a representative configuration export before procurement closes. Have a technical reviewer identify the audience mappings, source references and evaluation cases needed to rebuild one task. Record missing fields and the party responsible for producing them. Rehearse finding the guide without the assistant. Compare the replacement on the same answer-evidence tests, not just the similarity of its prose. Price the actual migration and retesting work before describing the service as portable.