The quick verdict (read this first)
Budgets hate surprises. Voicing gives healthcare leaders predictable pricing and predictable results—97% accuracy, responses under 500 ms (with typical p50 well below that), and enterprise-grade reliability. You get automation you can forecast, govern, and scale—without the “oops” line items that sink ROI.
Why predictability matters more than a low sticker price
Unpredictable AI programs overrun budgets because of:
- Variable minutes & retraining cycles
- Spike charges during seasonal surges
- Hidden add-ons (observability, redaction, compliance)
- Inconsistent outcomes that force human rework
You don’t need cheaper—you need known.
How Voicing makes pricing predictable
1) Transparent, line-itemed plans
Clear units (per interaction/minute/resolution), volume tiers, and optional add-ons (channels, languages). No surprise fees for redaction, logging, or compliance basics.
2) Scale without “surge penalties”
Capacity reservations + burst buffers keep seasonal peaks (open enrollment, flu season) on-budget.
3) Support that doesn’t nickel-and-dime
Implementation, QA tooling, and monitoring included to get—and keep—performance on target.
4) Procurement-friendly contracts
BAA, data residency options, and audit evidence packaged for faster security approval.
How Voicing makes outcomes predictable
SLA-backed metrics you can run the business on:
- Accuracy (target ~97%) for function calls/tool use
- Latency: sub-500 ms response SLOs (with typical median far lower for natural barge-in)
- Reliability: enterprise-grade uptime and failover
- Safety: low hallucination behavior with policy guardrails
Operational KPIs that actually move costs:
- Containment & First-Call Resolution (FCR)
- AHT & Time-to-Resolution (TTR)
- Transfers/Escalations & Repeat-call rate
- Payment completion & No-show reduction after scheduling
Dashboards track these weekly so finance sees the lift—not just the license.
Where the savings come from (and why they’re repeatable)
- Faster turns: sub-500 ms responses prevent overtalk and dead air.
- Completion, not deflection: agentic planning + nested actions (~98% accuracy) finish eligibility → benefits → PA → scheduling → payment in one call.
- Fewer escalations: human-sounding delivery with dynamic empathy keeps supervisors out of the queue.
Savings compound across high-volume lines—and stay because the outcomes are governed, measured, and enforced.
A POV your CFO will love (2–3 weeks)
- Pick two flows: Eligibility + benefits and Claim status + refund/next steps.
- Connect systems: CCaaS, CRM/EHR, payer portals, payments.
- Turn on guardrails: policy packs, redaction, audit logs.
- Run live traffic with your real call audio (accents/noise).
- Publish a weekly scorecard: accuracy, latency, containment, AHT, escalations, repeat-call rate.
Lock in those baselines → roll into SLA targets → scale.
Sample SLA menu (choose what you value most)
- Accuracy SLA: ≥97% function-calling/intent execution on scoped workflows
- Latency SLA: p50 <500 ms, p95 under an agreed threshold for telephony
- Uptime SLA: enterprise grade with documented failover tests
- Quality controls: empathy adherence / policy compliance thresholds
- Credits: clear remedies if any SLA is missed
You decide which levers protect your economics; we operationalize and report.
Buyer checklist (hold every vendor to this)
- Pricing sheet with units, tiers, and what’s included (redaction, logs, QA).
- Live latency histograms on real phone audio (not a lab demo).
- Accuracy evidence on your top workflows (target ~97%).
- Nested action demo end-to-end (verify → eligibility → benefits → schedule → pay) with ~98% execution accuracy.
- SLA language + credit mechanics you can enforce.
- Week-over-week KPI reporting aligned to finance (containment, AHT, TTR, escalations, repeats).
If it isn’t clear on paper or provable live, it won’t be predictable in production.
Bottom line
Predictable pricing is only useful if the outcomes are predictable too. With Voicing, you get both: transparent economics and SLA-backed performance—97% accuracy, sub-500 ms responses, and reliability you can plan around. That’s how healthcare AI stops being a science project and starts acting like a line of business.
