The owner of an 18-person accountancy firm is reviewing the contract her predecessor signed for the AI document tool that did not land. There is no clause about getting her firm’s prompt library back. There is no clause about what happens if the vendor is acquired. There is a 90-day notice period on cancellation, plus a six-figure data extraction fee buried in Schedule 4. She is uncertain whether to renegotiate or walk. What she is sure of: she will not sign the second AI vendor’s contract this way again.
She is in the position most SMEs find themselves in after a stalled vendor relationship. The instinct is to “be more careful” without a clear sense of what more careful actually means. The vendor-management literature has specific answers. None of them are novel to procurement teams. All of them are novel to most SMEs. The checklist below is the one to run before signing the second contract.
How should you tier vendors before applying diligence?
Diligence depth should match risk. Apply lighter checks to lower-risk vendors and full treatment to the critical ones. Tier the vendors before the work starts. Tier 1 vendors are critical: those with access to sensitive data, those providing core systems, those whose failure would halt operations.
They get the full treatment. Tier 2 vendors are significant: a material relationship that is not mission-critical. They get standard checks plus periodic re-verification. Tier 3 vendors are transactional, low-spend, no data access. Light-touch verification at onboarding only.
For an AI vendor that will hold customer data, prompt libraries, or be embedded in a daily workflow, Tier 1 is the default. The implication is that the diligence work that follows takes longer than the firm did the first time. That is appropriate. The first engagement’s failure is the evidence that lighter-touch diligence is not enough at the SME’s scale of dependency.
Tiering also gives the firm a way to apply the same discipline to the rest of the SaaS portfolio over time. The audit work surfaces vendors that should have been Tier 1 but were treated as Tier 3 at signing. That gap is itself a finding.
What financial and technical depth checks matter most?
For Tier 1 vendors, financial stability is the prerequisite check. Pull the most recent financials (under NDA if private), check the credit score and payment history with other vendors, assess customer concentration risk, and run a UCC lien search. The UCC check is the one most SMEs skip.
A recorded UCC signals a lender holds a claim on the vendor’s assets, often pointing at heavy debt dependency or constrained financial flexibility before the situation becomes obvious. SmartBrief’s procurement-side guidance places this at the top of the SME-applicable diligence list for a reason.
Technical depth is the other half of the picture. Look at the engineering team’s size and tenure, with attention to recent senior-technical departures. Look at architecture and infrastructure, including whether they are building on established platforms or rolling their own. Ask about redundancy, disaster recovery, and load-handling history. Ask the vendor to articulate their roadmap over the next 12 to 24 months and whether the areas that matter to your firm are in it. Vagueness on roadmap is itself a signal.
Senior departures matter most. If the AI engineering lead has left in the last six months, the team rebuilds while serving you. That is a real risk to deployment timelines and stability, and most vendors will not volunteer it.
Why should you evaluate post-sales support before signing?
Post-sales support is the strongest single predictor of whether the relationship will work. The first engagement’s vendor probably had an excellent sales engineer and a less impressive support team. That gap is structural in many SaaS businesses. The fix is to evaluate support directly during the buying process, not after the contract is signed.
Demand to interview the support team during evaluation. Ask how the support model is structured: dedicated team, or a sales engineer covering on a best-effort basis. Get response-time SLAs for different severity levels in writing. Ask whether the vendor provides proactive monitoring or only responds when the client reports a problem. Ask whether you can speak with post-sales support before signing, or whether that interaction is gated behind contract execution. The answer to the last question alone tells you most of what you need.
Reference customers help, but only the ones who actually use the support frequently. The references vendors offer first are typically light-use customers with clean experiences. Ask for references that include a customer who hit a real outage or escalation. How the vendor handled that customer’s recovery is more diagnostic than five clean reviews.
Which contract clauses keep you out of the next trap?
Three clauses do most of the work: data portability, exit mechanics, and change-of-control. Each one was likely missing or weak in the first contract. Each one belongs in the second. The cost of insisting on these clauses is small, often a single conversation with the vendor’s legal team. The cost of skipping them, as the first contract demonstrated, is materially larger.
Data portability covers more than customer records. For an AI vendor, it covers the customer’s prompt libraries, prompt evaluation datasets, retrieval indexes, embeddings, and guardrails created in the vendor’s environment. All of these are firm-developed intellectual property. They should be portable in usable format, on a specified timeline, with written certification of deletion from vendor systems including backups and subcontractors. A contract that treats portability as an afterthought, or charges substantial fees for export, is a contract that has already locked you in. Binadox’s procurement framework names this scope explicitly.
Exit mechanics specify what happens when the relationship ends. A useable exit clause includes a defined transition period, termination and transition assistance services as a contractual obligation rather than an informal expectation, pre-agreed rates for transition support, and run-off support for continuity while a replacement is implemented. The point is to remove the choice between accepting unfavourable renewal terms and absorbing massive disruption.
Change-of-control is the clause for the AI vendor that has not yet been acquired but probably will be. Right to terminate if the acquisition materially changes the vendor’s business model or technical roadmap. Defined timeline for the firm to decide. Clean exit process if the firm chooses to walk. AI vendors are being absorbed at pace and the question is no longer whether this will happen to your vendor but when.
Which frameworks contribute discipline?
Three named frameworks are useful as scaffolding. None are off-the-shelf for SMEs. Each contributes a checklist worth borrowing from. ISACA’s vendor risk framework names four objectives: restricting sensitive data access, ensuring regulatory compliance, mitigating supply chain risk, and maintaining transparency and accountability. ISACA’s checklist on data lifecycle handling is the strongest single asset to borrow.
Gartner’s tiered review process formalises the proportional-diligence approach: deeper checks for Tier 1, lighter for Tier 3, ongoing monitoring at the appropriate cadence per tier. Gartner Peer Insights also publishes a vendor-review question library that can be borrowed selectively for the candidate evaluation.
The IAOP Code of Ethical and Business Practice Standards is the more philosophical anchor, useful for setting the tone of the relationship. The code recommends that organisations represent their skills and experiences with honesty and integrity, and measure outcomes in terms of business results rather than activity. That framing belongs in the contract conversation, not just in the legal department.
The next post in the cluster covers the four posture shifts in the second engagement, which set the structure that contracts and vendor relationships sit inside. The diagnostic audit typically surfaces vendor-related issues as one of the named priorities. Distinct from this, the T4 cluster on neutral versus vendor-aligned consultants covers the consultant decision rather than the vendor contract.
If you would like to walk through how this checklist applies to a contract you are reviewing, book a conversation.
