The Buyer's Guide to Voice AI
A vendor-neutral scorecard for evaluating voice agents, latency budgets, autonomy, runtime modes, total cost to serve, and the questions to ask before you sign.
Everything our field and platform teams use to ship production voice AI, buyer's frameworks, integration deep-dives, evaluation playbooks and security checklists, alongside benchmarks you can reproduce. Practical, vendor-honest, and kept current.
Drawn from how we scope, build and run auto-AGENTS™ in production, and kept current as the platform evolves.
From vendor scorecards and integration deep-dives to regulated-industry playbooks and guides for connecting or replacing flows on your existing CCaaS, each is a self-contained PDF you can take straight into your next review.
A vendor-neutral scorecard for evaluating voice agents, latency budgets, autonomy, runtime modes, total cost to serve, and the questions to ask before you sign.
How a closed reinforcement loop, resolve, measure, learn, optimize, makes agents compound in quality while cost per resolution decays. With guardrails for safe autonomy.
Wire agents into your stack over the Model Context Protocol, tool schemas, auth scoping, idempotent actions, audit trails, and patterns for 170+ connectors.
Build an adversarial eval suite that grades every interaction, intent accuracy, hallucination rate, latency and policy adherence, with autoQA scoring 100%, not a 2% sample.
SOC 2 Type I & Type II, HIPAA, ISO 27001, PCI, GDPR and EU AI Act alignment, with field-level encryption, tenant-scoped KMS, PII redaction and an immutable audit trail.
Move from legacy IVR or a first-gen bot without downtime, phased cutover, shadow traffic, fallback policies and a rollback plan for every stage of the transition.
Where the milliseconds go, streaming STT/TTS, barge-in, endpointing and turn-latency budgets, and how to hold sub-second response under real load.
Connect agents to the phone network, SIP trunks and carriers, DTMF capture, warm and cold transfer, and resilient call control across providers.
A cost-to-serve model for the contact center, containment, average handle time, deflection vs. resolution, and a payback calculation you can adapt to your own numbers.
Design agent behavior that holds, instruction structure, refusal and escalation policies, grounding, and guardrails that survive the edge cases callers actually hit.
Ship in more languages, voice and accent selection, code-switching, localized policies, and per-locale quality checks that keep every market on-brand.
Blend agents and people, when to escalate, warm handoff with full context, supervisor review, and the feedback that trains the next iteration.
Build patient-facing agents that meet HIPAA, BAAs, PHI handling, minimum-necessary access, audit logging, and safe escalation to clinical staff.
Automate member calls, eligibility and benefits, prior-authorization status, and claims and EOB questions, with HIPAA controls and clean handoff to licensed staff.
Patient support, HCP inquiries and medical-information lines, with MLR-aware content paths, off-label handling, and routing that respects regulatory boundaries.
Detect and capture adverse events on any call, structured intake, mandatory-reporting triggers, and immutable records for pharmacovigilance.
First notice of loss, claim status and policy servicing, structured intake, fraud-signal capture, and escalation to adjusters when a human is required.
Authenticate callers, handle disputes and servicing, and stay inside SOC 2, PCI and financial-conduct requirements, with a full audit trail on every action.
Know when a licensed human is legally required, and hand off with full context, the right disclosures, and a logged decision trail.
Order status, returns, product questions and loyalty, high-volume, seasonal-peak care that scales without adding headcount.
Take card payments on a call without touching card data, DTMF suppression, tokenization, pause-and-resume recording, and a compliant scope boundary.
Navigate one- and two-party consent, recording disclosures and jurisdictional rules, with configurable prompts and a defensible consent record.
Redact sensitive data before it persists, set retention that doesn't fail open under load, and prove what was stored, where, and for how long.
Where auto-AGENTS™ fits alongside your contact-center platform, voice paths, data, routing and reporting, so you add autonomy without ripping anything out.
Connect agents to Genesys Cloud, inbound routing, transfers, CTI events and reporting, so you add autonomy without leaving your platform.
Integrate with Amazon Connect, contact flows, Lambda hooks, Lex hand-off and media streaming, to add or replace automated steps.
Connect to NICE CXone, Studio scripts, routing and the agent desktop, for a phased move toward autonomous resolution.
Integrate with Five9, IVR scripts, routing and CTI, so agents handle what they can and pass the rest with full context.
Wire agents into Twilio Flex and Voice, TaskRouter, Studio flows and the agent UI, with full programmatic control.
Connect to Webex Contact Center, flows, routing and desktop integration, for a low-risk path to voice automation.
Run auto-AGENTS™ in front of, or beside, existing queues, percentage rollouts, fallbacks, and a clean split between automated and staffed work.
Hand calls to human agents with full context, CTI events, screen pops and conversation summaries that land on the agent desktop.
Turn rigid press-1 menus into natural conversation, map existing IVR paths, preserve routing and compliance, and recover the containment you lose today.
Take flows you already built and move them to agents, a mapping method for prompts, branches, data dips and transfers.
Cover nights, weekends and spikes, resolve what you can autonomously and queue or call back the rest, without new staffing.
Book, reschedule and confirm appointments over voice, calendar and EHR/CRM integration, reminders, and no-show reduction.
Balance questions, payment plans and secure pay-by-phone, with the PCI controls from the payments guide baked in.
Verify callers and reset access safely, knowledge and OTP flows, step-up auth, and lockout handling that won't strand customers.
A deep, data-backed read on why autonomous resolution, not deflection, is the metric that matters, how TokenTrim™ inference-compression bends the cost curve, and what a self-improving loop does to unit economics over twelve weeks in production.
We publish the benchmarks that drive our cost and scale claims, methodology included, so you can run them against your own workloads. Two we get asked about most: inference-token compression, and concurrency under load.
TokenTrim™ measured on a representative billing-dispute interaction with grounding and tool calls, comparing raw context against compressed inference context (98,938 → 9,465 tokens). Concurrency run as a sustained load test ramping to ~10,000 simultaneous voice sessions on a single region, measuring p95 end-to-end latency and resolution success. The full concurrency framework, reference Azure architecture and acceptance thresholds are published, read the summary or download the paper. TokenTrim™ datasets ship with the featured whitepaper.
Bring a real scenario. In 30 minutes we'll build it, test it against the eval suite, and resolve it end to end, on your systems, in your languages.
"Over the last two years working with the Commerce.AI team, I've been really excited by their continued focus and innovation in AI."