Startup & Growth

AI Vendor Exit Plan: Keep Prompts, Data and Evaluations Portable

Inventory AI prompts, source data, evaluations, derived indexes and operational dependencies before planning a provider transition.

Purushottam Kumar Suman
Purushottam Kumar Suman
Founder & CEO, Drema AI
3 min read
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An AI vendor exit plan should identify what the business can export, what must be rebuilt and how a replacement will be evaluated. Cover prompts, source documents, labels, workflows, tool integrations and operating records. Using a familiar API does not by itself make the whole application portable.

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01

Inventory dependencies before selecting a provider

Separate your application assets from provider-managed features. Record ownership, export formats, access requirements and any contractual restrictions. Verify current terms with the responsible commercial and legal owners rather than assuming every stored object can be exported or reused.

For a hypothetical document assistant, source files may be portable while managed retrieval settings, conversation state and evaluation tooling require separate work. An exit estimate should identify those differences.

02

Create an exit register

AssetQuestion to answerPractical check
Source materialCan authorised originals and metadata be retrieved?Export a permitted sample
Prompts and toolsAre versions stored outside the provider console?Reconstruct the configured workflow
Evaluation casesAre labels and expected outcomes reusable?Run them against an alternative
Derived indexesCan they transfer, or must they be rebuilt?Document rebuild inputs and effort
HistoryWhat retention and export rules apply?Verify permitted fields and format
OperationsWhich alerts and dashboards are provider-specific?Recreate essential visibility
Access and deletionHow is service access ended responsibly?Approved closure procedure

Keep credentials outside ordinary export bundles. Access portability should not mean distributing production secrets in a handover folder.

03

Rehearse a small replacement

Choose a bounded task and reconstruct it using customer-controlled assets. Compare output quality, access behaviour, latency and cost. Record gaps instead of claiming full portability from one successful response.

Do not assume that switching models preserves tool behaviour or structured output. The model migration checklist covers the evaluation needed before traffic moves.

04

Plan continuity and retirement

Define the transition period, source-of-truth ownership and fallback if the replacement fails acceptance. Avoid dual-writing consequential actions without duplicate protection and explicit authority.

After an approved transition, review old integrations, service accounts, billing and retained data under the agreed process. Confirm what deletion evidence the provider actually supplies; do not claim independent verification without it.

05

Vendor exit questions

Does an open model eliminate vendor dependency?

Not entirely. Hosting, tooling, data pipelines and operations can still create dependencies.

Should portability be implemented in the first MVP?

Prioritise customer-controlled assets and clear dependency records early. The depth of a replacement rehearsal should match business consequence and available budget.

Bring the exit register to Drema's AI architecture discussion, alongside the private-data vendor questions.

Purushottam Kumar Suman
Written by
Purushottam Kumar Suman
Founder & CEO, Drema AI

Founder and CEO of Drema AI. Builds AI systems, SaaS platforms and industry software — and writes about what actually survives production.

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