Evaluating an AI billing vendor? Use this checklist before signing.
AI billing vendors pitch transformation. Reality varies. This evaluation checklist separates serious AI vendors from demo-quality ones in 5 questions. Built from frameworks we use when clients ask us to vet vendors.
Question 1: outcomes in writing
What KPIs will the vendor commit to in writing? What's the baseline measurement methodology? What's their liability if outcomes don't materialize? Vendors who hedge on these questions aren't ready for operational accountability.
Question 2: end-to-end audit log
Ask to see the complete audit log of one AI decision in their production system: input data, model version, output, confidence score, downstream action. If they can't show this in 5 minutes, the architecture isn't audit-ready.
Question 3: senior partner accountability
Is there a named senior partner on your account, or do you go through a support queue? AI deployments succeed or fail in operations, not in initial deployment. Senior accountability is the difference.
Question 4: data on your specialty mix
What's their measured performance on cases representative of your specialty mix, NOT generic case studies? Specialty-specific vendor benchmarks matter materially more than headline numbers.
Question 5: integration cost
What's the all-in cost including license + integration + ongoing operations? Vendor pricing often excludes integration which can be 2-3x license cost. Ask for total cost of ownership over 3-5 years.
Free AI vendor evaluation
Send us your top 3 vendor shortlist + your specialty + payer mix + current cost per claim. We return a written evaluation with vendor archetype analysis + red flags + recommended evaluation path. No vendor names in our framework; pure buyer-perspective analysis.
Don't wait. Get a senior partner on this.
ASP-RCM senior partners do same-day consultations on operational distress situations. 30 minutes. No SDR triage. Diagnostic conversation. You leave with a plan whether or not you engage us further.