The best predictor of a successful healthcare AI deployment is how a vendor answers hard operational questions before the contract. These 12 questions cover proof, integration, failure handling, pricing, data, and exit — with the strong and weak answers to listen for. A vendor who handles all twelve is rare, and worth shortlisting.
1. What number will move, and by when?
This is the whole business case in one sentence. A vendor selling outcomes knows the answer instantly.
Strong answer: Names a metric, a magnitude, and a timeline — and offers to tie pricing to it.
Weak answer: Talks about capabilities, transformation, or “it depends on adoption.”
2. Show me a before-and-after from an organization like mine.
Demo environments always work. Production numbers from a comparable health system are the only proof that transfers.
Strong answer: Provides measured results from a named or verifiable customer of similar size, on your workflow.
Weak answer: Case studies are percentage claims with no baseline, or every example is a ten-hospital pilot press release.
3. What happens when the AI is wrong?
Every AI system is wrong sometimes. How failure is handled matters more than how the demo looks.
Strong answer: Describes the error types, the detection method, and the human review path, with rates.
Weak answer: “Our accuracy is 99%” — with no account of the remaining 1%.
4. What is your exception rate in production?
The share of work the AI hands back to humans defines your real staffing model after deployment.
Strong answer: A number, by workflow, from production customers.
Weak answer: “Very low” or “it improves over time.”
5. How does this integrate with our exact EHR version?
Integration is where timelines die. Epic and Oracle Health environments differ by version and module.
Strong answer: Live integrations named in the contract, plus a reference site running your stack your IT team can call.
Weak answer: “Seamless integration” and an API diagram.
6. What do your customers stop doing after deployment?
Real automation removes work. If nothing stops, you bought a dashboard.
Strong answer: Specific tasks retired, with the hours redeployed and where they went.
Weak answer: Vague productivity language with no removed work named.
7. How is pricing tied to outcomes?
A vendor confident in results will share risk. One who is not will not.
Strong answer: At least part of the fee tied to the metric moving, or a defined exit if it does not.
Weak answer: Full price up front regardless of results, with multi-year lock-in.
8. What data do you need, where does it go, and is it used for training?
PHI flows, storage, and model-training rights belong in writing before any pilot.
Strong answer: A clear data-flow diagram, a signed BAA, and explicit terms on whether your data trains their models.
Weak answer: “We’re fully HIPAA compliant” as the complete answer.
9. Which staff workflows change, and who retrains them?
AI adoption is an operations project. Somebody has to own the change on your side and theirs.
Strong answer: A named implementation model: whose workflows change, training included, with time expectations.
Weak answer: “It’s intuitive — adoption won’t be a problem.”
10. What does the first 90 days look like?
A disciplined vendor has a deployment arc with a decision date, not an open-ended pilot.
Strong answer: Milestones, a baseline comparison, and a scale-or-stop checkpoint near day 90.
Weak answer: A pilot with no success criteria and no end date.
11. Can we exit — and what do we keep?
Contracts outlive enthusiasm. Data portability and exit terms are cheapest to negotiate before signing.
Strong answer: Defined exit terms, your data returned in usable form, no punitive wind-down.
Weak answer: Termination requires long notice, and data export is “a professional services engagement.”
12. Tell me about a deployment that went badly.
Every vendor has one. The honest ones learned something; the rest are auditioning.
Strong answer: A specific story, what failed, and what changed in their playbook because of it.
Weak answer: “Honestly, our customers are all successful.”
How to use the twelve
Ask them in order — the early questions filter fastest. Score each answer strong, weak, or evasive, and compare vendors on the pattern, not the polish. Then run the finalists through the full framework in How to Choose a Healthcare AI Vendor: The 2026 Decision Guide, and know your own starting point with the Hospital AI Readiness Index before anyone demos anything.
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