Healthcare AI Agent RFP Template and Evaluation Guide
Use this healthcare AI agent RFP template to define bounded jobs, outcomes, authority, evidence, tool access, identity, privacy, security, evaluation, human control, incidents, pricing, implementation, and exit.
On this page: Direct answer
Direct answer
Healthcare AI agent RFP template: what operators need to know
Use this healthcare AI agent RFP template to define bounded jobs, outcomes, authority, evidence, tool access, identity, privacy, security, evaluation, human control, incidents, pricing, implementation, and exit. Describe jobs, prohibited actions, and decision rights before features. Require separate evidence for model behavior, agent orchestration, tool actions, and complete workflow outcomes.
A healthcare AI agent RFP should procure a bounded operating capability, not an anthropomorphic promise. Define the job, population, decisions, allowed tools, data, authority, human checkpoints, evidence, quality and safety thresholds, identity, security, incidents, implementation ownership, pricing, and exit before asking vendors to describe their agent.
NIST’s 2026 AI-agent work emphasizes emerging questions around interoperability, security, identity, authorization, monitoring, evaluation, and standards. Those materials are not a healthcare certification or final rule. Use them alongside applicable HIPAA, Part 2, security, clinical, records, contract, accessibility, and organizational requirements, then validate every claim in scenario-based evaluation.
Key takeaways
The short version
- Describe jobs, prohibited actions, and decision rights before features.
- Require separate evidence for model behavior, agent orchestration, tool actions, and complete workflow outcomes.
- Give each agent and delegated action attributable identity, least privilege, limits, and revocation.
- Evaluate ordinary, edge, adversarial, outage, correction, and human-takeover scenarios.
- Contract for monitoring, change notice, incidents, audit, data control, pricing, continuity, and exit.
Take the template with you
Free to copy · no email required
A reusable requirements outline for use-case definition, vendor response, demonstrations, diligence, contracting, and launch acceptance.
# Healthcare AI agent RFP ## Bounded use case - Users / population / workflow / outcome: - Inputs / sources / outputs / tools / recipients / actions: - Prohibited uses and authority by action: - Human reviewer / qualification / evidence / takeover: ## Architecture and trust - Model / orchestration / retrieval / tools / identity: - Delegation / credentials / scopes / limits / revocation: - PHI / Part 2 / training / retention / deletion / subprocessors: ## Evaluation and delivery - Cohorts / edge / adversarial / failure tests: - Rubric / reviewers / severity / thresholds: - Monitoring / drift / regression / rollback: - Implementation / pricing / service levels / export / exit:
1. Healthcare AI agent RFP template requirements
| RFP domain | Required vendor response | Buyer decision |
|---|---|---|
| Job and boundary | Users, workflow, inputs, outputs, actions, exclusions, dependencies, and known failures | Is the use bounded enough to govern and evaluate? |
| Authority | Tools, records, messages, transactions, configuration, and downstream actions the agent can access or change | Which actions are prohibited, proposed, human-approved, or autonomous? |
| Evidence | Source attribution, provenance, uncertainty, logs, corrections, and reproducibility | Can an authorized person verify and reverse material work? |
| Trust | Privacy, security, identity, authorization, isolation, retention, support, subprocessors, incidents, and resilience | Do controls apply to the complete agent and tool chain? |
| Evaluation | Test design, data, cohorts, thresholds, adversarial methods, human review, monitoring, and regression | Does evidence represent the deployed workflow? |
| Commercial | Implementation, integrations, usage, models, support, evaluation, upgrades, overages, continuity, and exit | What is complete cost under expected and stress volumes? |
2. Define the agent job, authority, and human control
- Approved population, program, geography, channel, user, workflow state, purpose, and measurable outcome
- Permitted inputs, retrieved context, data classes, tools, APIs, records, recipients, outputs, actions, and maximum scope
- Prohibited clinical, coverage, placement, crisis, financial, consent, privacy, legal, or other high-consequence determinations
- Actions the agent may draft, recommend, queue, execute with confirmation, or execute automatically under narrow policy
- Human qualifications, evidence, approval point, clock, workload, takeover, correction, appeal, and override
- Budget, rate, time, sequence, recursion, tool, recipient, data, transaction, and environment limits plus a tested stop
3. Script the agent demonstration and evaluation
- 01
Establish the baseline
Measure existing outcomes, active work, wait, variation, errors, escalation, safety events, patient experience, and cost.
- 02
Use representative cases
Include ordinary, ambiguous, incomplete, conflicting, multilingual, accessible, high-risk, wrong-context, and changed-source cases.
- 03
Test tools and authority
Attempt excessive access, wrong recipients, disallowed actions, repeated execution, prompt injection, poisoned retrieval, and credential misuse.
- 04
Interrupt the system
Fail the model, identity, tool, EHR, payer, network, write, and acknowledgment; observe containment, recovery, duplicates, and reconciliation.
- 05
Require blinded scoring
Use predefined rubrics, qualified reviewers, must-pass gates, error severity, cohort slices, and deployed configuration.
- 06
Re-test changes
Trigger evaluation after material model, prompt, policy, data, retrieval, tool, permission, workflow, vendor, or infrastructure change.
4. Contract for agent security and operating evidence
| Control | Contract question | Evidence |
|---|---|---|
| Identity | How is every agent instance, user, service, delegated action, and tool call identified? | Credential lifecycle, attribution, delegation, and revocation test |
| Authorization | How are purpose, role, patient, tool, action, time, environment, and transaction limits enforced? | Policy, configuration, denied-action tests, and audit |
| Data | May prompts, outputs, feedback, support copies, or logs be used for training or improvement? | Data-use terms, flow, retention, deletion, export, and subprocessors |
| Change | What can change without notice, approval, regression, or rollback? | Version inventory, notice, tests, and release controls |
| Incident | Who detects, stops, preserves, reports, investigates, corrects, and communicates harmful actions? | Severity model, clocks, playbook, exercise, and lessons |
| Exit | Can the buyer export records, evidence, configuration, and queues and revoke every dependency? | Tested transition, revocation, deletion, continuity, and residual risk |
5. Select and launch through gates
- Score must-pass safety, privacy, security, authority, evidence, correction, resilience, accessibility, and exit controls separately
- Reject unsupported certifications, benchmark cherry-picking, roadmap capabilities presented as live, and aggregate accuracy
- Inspect configuration, contracts, subprocessors, logs, interfaces, incident duties, support, and complete pricing
- Start with shadow or draft mode where practical, then a bounded cohort with human control, reconciliation, fallback, and stop authority
- Monitor task success, severe errors, source fidelity, unauthorized action, overrides, corrections, staff work, patient impact, and cost
- Expand only when outcome and guardrail thresholds hold through representative volume and meaningful operating time
Common questions
Answers before you build.
What belongs in a healthcare AI agent RFP?+
Include the bounded use case, users, data, tools, actions, authority, prohibited uses, human controls, evidence, evaluation, privacy, security, identity, authorization, incidents, accessibility, resilience, implementation, monitoring, pricing, change management, and exit.
How is an AI agent RFP different from a chatbot RFP?+
An agent may plan and invoke tools that read or change external systems. The RFP therefore needs deeper requirements for delegated authority, identity, authorization, action limits, transaction integrity, monitoring, reversal, approval, and containment.
Should vendors provide an accuracy percentage?+
A single percentage is insufficient. Require task definitions, test population, source data, exclusions, error taxonomy and severity, cohort results, reviewer methods, deployed configuration, and complete workflow outcomes.
What is a safe first healthcare agent pilot?+
Choose a narrow administrative job with clear sources, reversible actions, low ambiguity, defined human review, no autonomous high-consequence decision, measurable baseline, representative tests, staffed fallback, monitoring, and stop authority.
Practical closeout
Use this operator checklist.
- Describe jobs, prohibited actions, and decision rights before features.
- Require separate evidence for model behavior, agent orchestration, tool actions, and complete workflow outcomes.
- Give each agent and delegated action attributable identity, least privilege, limits, and revocation.
- Evaluate ordinary, edge, adversarial, outage, correction, and human-takeover scenarios.
- Contract for monitoring, change notice, incidents, audit, data control, pricing, continuity, and exit.
Continue through the cluster
Verified customer case studies are added only with customer permission and supporting evidence; none is implied by these operational examples.
Sources & methodology
Trace the operational claims.
Marsa Health Editorial reviewed the primary and research sources below on July 22, 2026. We translate them into workflow controls, distinguish proposals from final rules, and flag where plan, program, state, contract, or clinical requirements vary.
- 01AI Agent Standards Initiative National Institute of Standards and TechnologyNIST's 2026 initiative for interoperable and secure AI agents, including agent identity, authorization, protocols, evaluation, and sector-specific adoption barriers.Accessed or rechecked July 22, 2026
- 02Security Considerations for AI Agents: RFI Response Analysis National Institute of Standards and TechnologyMay 2026 analysis of AI-agent security threats, mitigations, assessment needs, identity, authorization, monitoring, and standards gaps; it summarizes RFI responses rather than establishing a final rule.Accessed or rechecked July 22, 2026
- 03Software and AI Agent Identity and Authorization National Cybersecurity Center of Excellence, NISTNIST's 2026 project and concept-paper materials on applying identity standards and authorization practices to software and AI agents; the concept paper is not a final standard or regulation.Accessed or rechecked July 22, 2026
- 04AI Risk Management Framework Core National Institute of Standards and TechnologyVoluntary framework for governing, mapping, measuring, and managing AI risks, including defined roles for human-AI oversight.Accessed or rechecked July 22, 2026
- 05Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile National Institute of Standards and TechnologyNIST companion profile for generative AI risks, governance, pre-deployment testing, content provenance, incident disclosure, and human review.Accessed or rechecked July 22, 2026
- 06Decision Support Interventions Test Method ASTP/Office of the National Coordinator for Health ITCurrent certified-health-IT test method covering source attributes, intended and out-of-scope use, input features, validation, performance, fairness, maintenance, feedback, and risk-management transparency for decision support interventions.Accessed or rechecked July 22, 2026
- 07Guidance on Risk Analysis U.S. Department of Health and Human ServicesOfficial guidance that risk analysis must cover all ePHI an organization creates, receives, maintains, or transmits.Accessed or rechecked July 22, 2026
- 08Business Associate Contracts U.S. Department of Health and Human ServicesOCR explanation and sample provisions covering permitted uses, safeguards, incidents, individual rights, subcontractors, termination, and return or destruction.Accessed or rechecked July 22, 2026
Organizational author. Editorial review covers source accuracy, search intent, workflow boundaries, and human-oversight requirements. This material is educational and does not provide clinical, legal, coding, or coverage advice.
No named clinical or legal expert reviewer is attributed to this version. Marsa Health does not invent reviewer credentials.
Read our editorial methodRevision history
What changed and when
July 22, 2026
Initial publication, source review, and operational editing.