Sample Deliverable• Preview Only

Voice Architecture Readiness Summary

This is a representative sample. Your actual deliverable will be customized to your organization's specific context, infrastructure, and objectives.

ClientAcme Financial Services
IndustryFinancial Services
DateFebruary 2026
Prepared ByVoiceArch Advisory

Executive Summary

Acme Financial Services is positioned for a Tier 2 (Managed Infrastructure) voice AI implementation. The organization demonstrates strong existing cloud infrastructure and clear business objectives, but faces meaningful gaps in WebRTC engineering expertise, real-time compliance monitoring, and concurrent session management capabilities.

With targeted investment in specialized engineering talent and a phased implementation approach, production readiness is achievable within 4–6 months. We recommend a partner-assisted build strategy with structured knowledge transfer to develop internal capability.

Infrastructure Readiness Score

62/ 100

Conditionally Ready

Your organization meets baseline requirements but has critical gaps that must be addressed before production deployment. Estimated remediation: 8–12 weeks.

Cloud Infrastructure
82
Security & Compliance
58
Engineering Capability
45
Operational Readiness
64
Data Governance
71
Business Alignment
88

Session Scoring Breakdown

Each diagnostic session part is independently scored, contributing to the overall readiness assessment.

Part 1

Context Clarification

78
Clear executive sponsorship and defined business objectives
Success criteria well-articulated but lacks quantitative KPIs
Use case prioritization needs refinement — 3 competing initiatives identified
Part 2

Architecture Deep Dive

52
No existing WebRTC infrastructure — greenfield build required
Current cloud setup supports horizontal scaling but lacks session affinity
No experience with real-time token streaming or backpressure management
Part 3

Governance & Risk

58
GDPR-aware but missing voice-specific data retention policies
No incident response playbook for real-time voice systems
Vendor risk assessment for OpenAI not yet initiated
Part 4

Cost Modeling

65
Budget envelope defined but not stress-tested against peak scenarios
No real-time token metering or cost alerting infrastructure in place
ROI framework exists at business level but not mapped to technical costs
Part 5

Capability Gaps

41
Zero in-house WebRTC or real-time voice AI expertise
DevOps team unfamiliar with TURN/STUN server operations
No Voice UX design capability — will require external partner

Architecture Tier Recommendation

Tier 1

API Relay

Insufficient for regulatory requirements and concurrency targets.

Tier 2Recommended

Managed Infrastructure

Recommended. Balances control, compliance, and implementation velocity.

Tier 3

Full Sovereign

Premature. Consider after 12 months of Tier 2 operational maturity.

Risk Assessment

RiskSeverityLikelihoodMitigation
Voice data PII exposure in transitCriticalMediumImplement end-to-end encryption via SRTP; avoid server-side audio logging
WebRTC session concurrency failure above 200HighHighDeploy regional TURN clusters with auto-scaling; implement circuit breakers
Token cost overrun during peak hoursMediumHighImplement token budget caps, real-time cost monitoring, and auto-throttling
Compliance gap: GDPR consent for voice biometricsCriticalLowDeploy explicit consent flows; implement data retention policies; legal review
Single point of failure in STT pipelineHighMediumMulti-provider fallback architecture with health-check routing

Governance Gap Matrix

Voice Data Retention Policy

P0
Current State:

No formal policy

Required State:

Defined retention schedule with automated purge

Real-time Consent Management

P0
Current State:

Basic web consent banner

Required State:

Voice-specific opt-in with recording disclosure

Incident Response for Voice Systems

P1
Current State:

General IT incident process

Required State:

Voice-specific runbook with escalation paths

Vendor Risk Assessment (OpenAI)

P1
Current State:

Not completed

Required State:

Full vendor security questionnaire + DPA review

Internal Access Controls for Audio Data

P2
Current State:

Role-based (broad)

Required State:

Least-privilege with audit logging

Three-Scenario Cost Model

CategoryConservativeExpectedPeak
Monthly Token Costs$4,200$12,800$34,500
Infrastructure (TURN/Media)$1,800$4,200$11,000
Monitoring & Observability$600$1,200$2,400
Compliance & Security Tooling$1,000$1,000$1,500
Total Monthly Run Rate$7,600$19,200$49,400

Based on estimated 50–200 concurrent sessions, average 4-minute duration, using OpenAI Realtime API (gpt-4o-realtime). Infrastructure costs assume AWS us-east-1 with managed TURN via Twilio.

Capability Gap Analysis

WebRTC Protocol Engineering
NoneAdvancedcritical
Real-time Audio Processing
BasicIntermediatemoderate
OpenAI Realtime API Integration
NoneAdvancedcritical
Token Streaming Architecture
NoneIntermediatecritical
Voice UX Design
NoneIntermediatecritical
Real-time Systems DevOps
BasicAdvancedmoderate

Recommended Resourcing Strategy

Partner-Assisted Build — Engage implementation partner for initial Tier 2 build (estimated 3–4 months), with structured knowledge transfer program to develop internal WebRTC and voice AI capabilities. Hire 1 senior real-time systems engineer within 60 days to lead internal capability development.

Recommended Implementation Roadmap

Phase 1

Foundation

Weeks 1–4
Hire senior real-time engineer
Complete vendor DPA with OpenAI
Establish voice data governance policies
Deploy dev environment with TURN infrastructure
Phase 2

Core Build

Weeks 5–12
Implement WebRTC session management
Build token streaming pipeline
Deploy consent and compliance flows
Integrate monitoring and cost alerting
Phase 3

Hardening

Weeks 13–16
Load testing at target concurrency
Security penetration testing
Incident response runbook creation
Staged rollout to pilot users
Phase 4

Production

Weeks 17–20
Full production deployment
Knowledge transfer completion
Operational handoff to internal team
30-day post-launch support

Recommended Path Forward

Based on this assessment, we recommend proceeding with a Tier 2 Managed Infrastructure implementation via partner-assisted build. Your diagnostic engagement investment will be credited toward the implementation proposal.

Implementation Proposal

Detailed scope, timeline, and investment for Tier 2 build

Available upon request

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