AI RCM RFP Template: Requirements, Vendor Responses, and Evaluation Evidence

An AI RCM request for proposal should describe the work you are buying clearly enough that vendors can respond to the same requirement. A feature list alon...
An AI RCM request for proposal should describe the work you are buying clearly enough that vendors can respond to the same requirement. A feature list alone leaves too much room for different interpretations of “automation,” “integration,” and “included.” This template turns those terms into a scope statement, a response matrix, and evidence that your buying team can compare.
Use it for a defined software evaluation involving hospitals, physician groups, or billing companies. It supplements the AI RCM vendor evaluation checklist with a document you can issue to shortlisted vendors. The broader AI RCM evaluation toolkit connects this RFP to integration, pricing, and pilot worksheets.
Start with the procurement brief
Fill in the following paragraph before writing requirements:
Our organization is evaluating software for [workflow], used by [teams], across [entities or locations]. The initial scope covers [payer and service population], with approximately [eligible volume] items per [period]. The current source systems are [EHR/PMS, clearinghouse, and financial systems]. The required business result is [completed action and destination record]. [Named role] will own exceptions and approve expansion.
Add the current process, known bottlenecks, available data, and decisions that remain with your staff. Separate software from operational staffing. If managed services are also being considered, create a distinct response section so a subscription and a staffed service are not compared as equivalent offers.
The reusable requirements matrix
Assign each requirement an identifier and one accountable evaluator. Ask vendors to answer the requirement itself, then attach supporting evidence.
| ID | Requirement to complete | Required vendor response | Buyer owner |
|---|---|---|---|
| WF-01 | Process the defined routine case | Steps performed, inputs, outputs, manual work | RCM operations |
| WF-02 | Handle missing or conflicting information | Detection, queue, owner, and recovery path | Workflow supervisor |
| IN-01 | Read the required source data | Interface, fields, permissions, dependencies | EHR/IT lead |
| IN-02 | Complete the required destination action | Supported write, acknowledgment, reconciliation | IT and billing |
| QA-01 | Preserve human approval | Roles, override behavior, release controls | Operational approver |
| QA-02 | Retain action history | Available evidence, access, export, retention | Quality lead |
| SC-01 | Meet the organization's data requirements | Relevant agreements and security evidence | Privacy/security |
| OP-01 | Support the agreed operating hours | Escalation, incident handling, responsibilities | Operations and IT |
| CO-01 | Price the same workload and scope | Itemized rates, minimums, exclusions, assumptions | Finance/procurement |
| EX-01 | Support transition or exit | Data export, open work, access removal, charges | Procurement and IT |
Use response statuses such as available for this scope, requires configuration, requires development, requires a third party, or not included. Add the demonstrated environment and the date. These are procurement categories, not scores: a configured feature may be appropriate, but its effort and dependency must be visible.
Ask for evidence at the right level
A screenshot can illustrate an interface. It cannot by itself establish that the right claim was changed in your billing system. For each requirement, identify whether you need documentation, a demonstration, a test result, or a written commercial commitment.
Request a routine case and a difficult case using synthetic or approved test information. The evaluator should see the input, proposed action, human decision, receiving-system response, and outstanding exception. Use the pilot acceptance-testing template to make this repeatable.
NIST's voluntary AI Risk Management Framework organizes work around governance, context, measurement, and management. That is a useful reference for assigning lifecycle responsibilities; it does not certify a vendor or prescribe this RFP's requirements. NIST AI RMF Playbook.
Define the integration and data appendix
List required reads and writes separately. Include the source system, object or file, identifiers, available history, update timing, destination, and permitted user or service account. Ask which dependencies are your responsibility, which belong to the vendor, and which involve the EHR, clearinghouse, or payer.
Use the AI RCM data-readiness checklist rather than accepting an EHR logo as the complete integration answer. A named system may expose some information while restricting the action your workflow needs.
Ask your privacy and contracting teams to determine the applicable agreements before production data is shared. HHS describes the assurances and written arrangements required for covered-entity/business-associate relationships; the relevant obligations depend on the actual relationship and services. HHS business-associate guidance.
An illustrative hospital requirement
Consider a fictional hospital evaluating denial follow-up for one outpatient service line. “Automate denials” is too broad. A usable requirement says the software must assemble the remittance reason, claim history, missing-document request, responsible department, and next action for the selected queue.
The hospital asks each vendor to demonstrate one complete case and one case missing clinical evidence. Billing evaluates case routing; the clinical documentation owner evaluates the evidence request; IT verifies the permitted destination update. Finance evaluates how a later payment is distinguished from a submitted appeal. No recovery percentage is assumed. The requirement is judged against observable steps and the hospital's agreed pilot criteria.
This example can be adapted for QuickIntell denial management, prior authorization, or payment posting. The workflow changes; the response discipline stays consistent.
Make commercial responses comparable
Ask for implementation, software, usage, interfaces, support, training, and exit charges in separate rows. Define the billable unit and treatment of retries, reprocessed items, inactive users, and additional entities. Ask vendors to state assumptions instead of quietly pricing different workloads.
The software pricing-model worksheet explains how to normalize offers. Record any dependency on customer staffing, payer access, or third-party fees alongside the commercial schedule.
Close the RFP with an evidence-based decision
Before scoring, agree which requirements are prerequisites and which can be weighted. Do not allow a high aggregate score to hide an unresolved prerequisite. Keep open questions in a decision log with an owner and due date, then resolve material answers in the final scope or contract.
Use QuickRCM as the starting point for a platform discussion, and bring your completed scope paragraph to an AI RCM demonstration. The useful output is a comparable response and a testable next step for your buying team.
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Disclaimer: This content is for informational purposes only and does not constitute medical, legal, or financial advice. Consult qualified professionals for guidance specific to your situation.