Call Volumes
Provide monthly, daily and peak-hour volume, seasonality, missed calls, transfer rates and average duration.
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.
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.
Incomplete operational information produces vague proposals, hidden assumptions and avoidable change orders.
Provide monthly, daily and peak-hour volume, seasonality, missed calls, transfer rates and average duration.
List major intents, frequency, complexity and whether each requires lookup, validation, transaction or escalation.
Identify telephony, CRM, scheduling, ticketing, ERP, EHR, billing, identity and reporting platforms.
Describe hours, departments, locations, queues, after-hours rules, languages and urgent pathways.
Share containment, abandonment, wait time, accuracy, service level, complaint and workload measures.
Document legacy systems, unavailable APIs, policy constraints, data restrictions and human-only workflows.
Every workflow needs a trigger, required information, system action, confirmation, exception path and human fallback.
Distinguish approved call types, clarify ambiguity and avoid unsupported assumptions.
Specify when verification is needed, accepted factors and failure handling.
List permitted bookings, changes, cancellations, submissions, updates and lookups.
Apply eligibility, timing, location, authorization and exception rules consistently.
Define transfer, callback, priority routing and safe handling when staff are unavailable.
Summarize material details, disclose what completed and provide reference information.
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.
“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.
Require actual controls and scope rather than broad claims or generic badges.
Define ownership of prompts, rules, knowledge, integrations, approvals, exceptions and production changes.
Business, technical, privacy, security and operational ownership.
Approval for new workflows, sensitive actions and material changes.
Transactions and risk conditions that require staff intervention.
Actions, versions, approvals, errors and overrides.
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.
Reporting must support operations, not merely present attractive dashboards.
Volume, answer rate, containment, transfers, abandonment, duration, peak load and availability.
Bookings, submissions, changes, failed actions, duplicate prevention and reconciliation.
Sampling, scoring, policy adherence, conversation quality and recognition errors.
Integration failures, timeouts, retries, unavailable services and caller impact.
Version, configuration, action, approval and human-override records.
Raw and summarized data in usable formats without reporting lock-in.
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.
Require milestones, dependencies, acceptance criteria and named responsibilities before contract award.
Validate call types, rules, data, stakeholders, risks and success measures.
Confirm interfaces, permissions, environments, mappings and failure behaviour.
Test normal paths, edge cases, unavailable systems and escalation.
Use defined pass criteria, representative calls and sign-off owners.
Monitor, control changes and expand only when evidence supports it.
A production Voice AI deployment needs ongoing technical, conversational and operational management.
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.
Adjust the weighting to the organization’s risk, complexity and operating priorities.
Workflow coverage, policy enforcement and exception handling.
Telephony, integrations, scalability and technical fit.
Controls, data handling, responsibilities and evidence.
Monitoring, QA, support, incident response and continuity.
Ownership, approval, human oversight and auditability.
Plan, testing, pilot, acceptance and readiness.
Total cost, flexibility and measurable outcomes.
References, demonstrated capability and transparent limitations.
A scripted showcase should not substitute for scenario-based evaluation.
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.
Peak Demand helps enterprise, public-sector and regulated-industry teams translate workflows into technical, operational and commercial requirements before deployment.