Enterprise Procurement Framework

Voice AI RFP Requirements and Evaluation Checklist

A practical framework for writing, scoring and de-risking an enterprise Voice AI request for proposal across architecture, security, privacy, integrations, operations, governance, accessibility, implementation and commercial terms.

Functional requirementsTechnical architectureGovernance controlsEvaluation scoring
SCP
Clear ScopeOutcomes, call types and boundaries
ARC
Architecture EvidenceSystems, integrations and failure design
OPS
Operational ReadinessSupport, QA, monitoring and recovery
TCO
Comparable EconomicsAssumptions, exclusions and total cost
Why the RFP Matters

Test the Operating Model, Not Just the Demo

Voice AI can sound impressive in a controlled demonstration while remaining unprepared for real call volumes, complex policies, system integrations, staff escalation and operational change. A strong RFP moves the evaluation away from generic claims and toward verifiable requirements.

The document should require vendors to explain what happens when information is missing, an API fails, a caller changes direction, staff are unavailable, a workflow is updated or a sensitive action requires human review.

For healthcare, utilities, transit, municipalities, manufacturing and other high-volume environments, the RFP should also establish ownership, approval authority, evidence retention, support responsibilities and a workable exit path.

RFP

The RFP must establish

  • Business outcomes and call scope
  • Required channels and service hours
  • Integration and data boundaries
  • Security and privacy expectations
  • Human oversight and escalation
  • Testing and acceptance standards
  • Support and incident response
  • Commercial and exit terms
1 — Current State

Give Vendors Enough Context to Design and Price Responsibly

Incomplete operational information produces vague proposals, hidden assumptions and avoidable change orders.

VOL

Call Volumes

Provide monthly, daily and peak-hour volume, seasonality, missed calls, transfer rates and average duration.

WHY

Call Reasons

List major intents, frequency, complexity and whether each requires lookup, validation, transaction or escalation.

SYS

Current Systems

Identify telephony, CRM, scheduling, ticketing, ERP, EHR, billing, identity and reporting platforms.

HRS

Service Model

Describe hours, departments, locations, queues, after-hours rules, languages and urgent pathways.

KPI

Baseline Performance

Share containment, abandonment, wait time, accuracy, service level, complaint and workload measures.

LIM

Known Constraints

Document legacy systems, unavailable APIs, policy constraints, data restrictions and human-only workflows.

2 — Functional Requirements

Define What the Agent Must Do, May Do and Must Never Do

Every workflow needs a trigger, required information, system action, confirmation, exception path and human fallback.

INT

Intent Recognition

Distinguish approved call types, clarify ambiguity and avoid unsupported assumptions.

ID

Identity and Verification

Specify when verification is needed, accepted factors and failure handling.

ACT

Transactional Actions

List permitted bookings, changes, cancellations, submissions, updates and lookups.

POL

Policy Enforcement

Apply eligibility, timing, location, authorization and exception rules consistently.

ESC

Escalation

Define transfer, callback, priority routing and safe handling when staff are unavailable.

CNF

Confirmation

Summarize material details, disclose what completed and provide reference information.

3 — Architecture

Require a Design That Fits the Existing Enterprise Environment

The response should explain how calls enter the platform, how numbers are provisioned, how transfers and failover work, and where custom infrastructure is required.

Vendors should identify telephony carriers, speech services, models, hosting, middleware, databases, queues and third-party APIs. The RFP must distinguish vendor-managed components from customer-managed systems.

Use the enterprise infrastructure, security and continuity pages as supporting requirements.

ARC

Required architecture evidence

  • End-to-end system diagram
  • Telephony routing and transfer design
  • Hosting and regional dependencies
  • Integration middleware and queues
  • Failover and degraded-mode behaviour
  • Capacity and concurrency assumptions
  • Environment separation
  • Logging and observability
4 — Integrations and Data

Make Vendors Prove How Real Work Moves Between Systems

“Integrates with our CRM” is not enough. Requirements should name systems, objects, fields, actions and whether the connection is native, custom, API-based, file-based or dependent on customer middleware.

For every workflow, require authentication, validation, retries, idempotency, duplicate prevention, timeout handling, reconciliation and caller-facing fallback.

API

Integration evidence

  • Supported APIs and methods
  • Read and write permissions
  • Field-level data mapping
  • Error and timeout handling
  • Duplicate-action prevention
  • Retry and reconciliation logic
  • Test and production environments
  • Data ownership and export
5 — Security and Privacy

Ask for Evidence, Boundaries and Responsibilities

Require actual controls and scope rather than broad claims or generic badges.

1
Access controlAdministrative roles, least privilege, authentication and privileged-activity review.
2
Secrets managementStorage, rotation and prevention of credentials appearing in code, URLs or logs.
3
Data handlingCollection, transmission, storage, retention, deletion and subprocessor use.
4
Recording and transcriptionConsent, redaction, retention and access controls.
5
Environment securityDevelopment, test and production separation and test-data rules.
6
Incident responseDetection, prioritization, remediation, evidence and communication.
7
Subprocessor transparencyCritical providers and their role in the call flow.
8
Shared responsibilitySeparate vendor controls from customer configuration and operation.
6 — Governance and Human Oversight

Specify Who Controls the Agent After Launch

Define ownership of prompts, rules, knowledge, integrations, approvals, exceptions and production changes.

OWN

Named Owners

Business, technical, privacy, security and operational ownership.

APP

Approval Gates

Approval for new workflows, sensitive actions and material changes.

HUM

Human Review

Transactions and risk conditions that require staff intervention.

LOG

Traceability

Actions, versions, approvals, errors and overrides.

7 — Accessibility

Require the Service to Work for More Than the Ideal Caller

Cover speech differences, hearing and audio conditions, cognitive load, language access, pacing, repetition, correction and alternate service channels.

Require practical human assistance when callers cannot complete the automated flow. Use the full accessibility and inclusive design page as a companion framework.

ACC

Accessibility requirements

  • Clear and plain language
  • Flexible pacing and repetition
  • Field-by-field correction
  • Speech-difference handling
  • Language support disclosure
  • Human and alternate channels
  • Representative testing
  • Accessibility monitoring
8 — Monitoring, QA and Reporting

Define the Evidence Needed to Operate and Improve the Service

Reporting must support operations, not merely present attractive dashboards.

SRV

Service Metrics

Volume, answer rate, containment, transfers, abandonment, duration, peak load and availability.

WF

Workflow Outcomes

Bookings, submissions, changes, failed actions, duplicate prevention and reconciliation.

QA

Quality Review

Sampling, scoring, policy adherence, conversation quality and recognition errors.

ERR

Error Visibility

Integration failures, timeouts, retries, unavailable services and caller impact.

AUD

Audit Evidence

Version, configuration, action, approval and human-override records.

EXP

Data Export

Raw and summarized data in usable formats without reporting lock-in.

9 — Incident Response and Continuity

Require a Credible Plan for Failure, Recovery and Communication

Require plans for telephony outages, provider failures, incorrect actions, integration disruption, security events and unavailable staff.

Ask for severity definitions, notification timelines, escalation contacts, fallback routing, rollback, evidence preservation and post-incident review.

IR

Continuity requirements

  • Incident severity model
  • Customer notification process
  • Fallback call routing
  • Safe degraded mode
  • Rollback and recovery
  • Evidence retention
  • Post-incident review
  • Continuity testing
10 — Implementation and Acceptance

Turn the Proposal Into a Testable Delivery Plan

Require milestones, dependencies, acceptance criteria and named responsibilities before contract award.

1

Confirm workflows

Validate call types, rules, data, stakeholders, risks and success measures.

2

Approve architecture

Confirm interfaces, permissions, environments, mappings and failure behaviour.

3

Build and test

Test normal paths, edge cases, unavailable systems and escalation.

4

Pilot and accept

Use defined pass criteria, representative calls and sign-off owners.

5

Launch and improve

Monitor, control changes and expand only when evidence supports it.

11 — Support and Service Management

Ask Who Actually Operates the System After Go-Live

A production Voice AI deployment needs ongoing technical, conversational and operational management.

Support hours and channelsCoverage windows and emergency contacts.
Severity and response targetsDefinitions tied to operational impact.
Conversation maintenancePrompts, knowledge, pronunciation and policy.
Integration maintenanceAPI, credential and schema changes.
Quality reviewsCalls, failures, escalations and rule compliance.
Release managementTesting, approval, rollback and records.
12 — Commercial Terms

Compare Proposals on the Same Economic Basis

Separate implementation, platform, telephony, usage, model, integration, support, reporting, storage, language, environment and change-request costs.

Identify currencies, minimum commitments, overages and third-party pass-through charges. A low headline rate can produce a higher total cost when implementation, monitoring or maintenance is excluded.

TCO

Required pricing schedule

  • One-time implementation
  • Recurring platform fees
  • Usage and telephony rates
  • Minimums and overages
  • Integration and change costs
  • Support tiers
  • Storage and retention
  • Transition and termination
Evaluation Scorecard

Use Weighted Evidence Instead of a Feature Checklist

Adjust the weighting to the organization’s risk, complexity and operating priorities.

20%

Functional Fit

Workflow coverage, policy enforcement and exception handling.

15%

Architecture

Telephony, integrations, scalability and technical fit.

15%

Security and Privacy

Controls, data handling, responsibilities and evidence.

15%

Operations

Monitoring, QA, support, incident response and continuity.

10%

Governance

Ownership, approval, human oversight and auditability.

10%

Implementation

Plan, testing, pilot, acceptance and readiness.

10%

Commercial Value

Total cost, flexibility and measurable outcomes.

5%

Vendor Evidence

References, demonstrated capability and transparent limitations.

Demo and Pilot Requirements

Test the Proposed Solution Against Real Workflows

A scripted showcase should not substitute for scenario-based evaluation.

1
Representative scenariosCommon, complex, sensitive and failure-prone calls.
2
Organization-specific rulesActual policy, timing, location and escalation conditions.
3
Live integration behaviourReads, writes, validation, duplicate prevention and failure handling.
4
Difficult callsInterruptions, corrections, noise and unsupported requests.
5
Inspect evidenceLogs, outcomes, errors, transfers and data captured.
6
Score pass criteriaDocumented thresholds rather than general impressions.
Red Flags

Warning Signs During Voice AI Procurement

Be cautious when a proposal relies on a polished demo but offers little detail on integrations, data handling, failure modes, support or change control.

Other warning signs include universal-accuracy promises, hidden dependencies, unclear ownership, no exit plan, vague implementation assumptions and pricing that cannot be reconciled to expected usage.

!

Common red flags

  • “Works with everything” claims
  • No architecture diagram
  • No error or fallback design
  • Unclear data retention
  • No named implementation team
  • Demo-only evidence
  • Hidden third-party costs
  • No export or transition plan
Frequently Asked Questions

Voice AI RFP Questions

What should be included in a Voice AI RFP?
Current-state volumes, workflows, telephony, integrations, security, privacy, governance, accessibility, reporting, incident response, implementation, support, pricing and exit requirements.
How detailed should workflows be?
Each should define its trigger, required information, validation, system actions, confirmation, exceptions, escalation and prohibited actions.
Should vendors provide an architecture diagram?
Yes. It should show telephony, orchestration, models, integrations, databases, logs, external providers and responsibility boundaries.
How should integration claims be evaluated?
Require systems, methods, objects, fields, permissions, retries, duplicate prevention, failure handling and evidence from a representative scenario.
How should proposals be scored?
Use weighted criteria tied to functional fit, architecture, security, privacy, operations, governance, implementation, commercial value and evidence.
Should the RFP require a pilot?
For complex or high-risk workflows, a controlled pilot can validate integrations, caller experience, failure handling and operational readiness.
What pricing details should be disclosed?
Implementation, platform, telephony, usage, model, integration, support, storage, overage, minimum commitment and transition costs.
What exit terms matter?
Ownership and export of data, prompts, workflow logic, numbers, recordings, reports and integration assets, plus transition and deletion obligations.
Can Peak Demand help prepare or review a Voice AI RFP?
Yes. Peak Demand can define requirements, review architecture, evaluate vendors, structure demonstrations and identify implementation risks.
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