Ontopix  ·  Audibot
Voice QA, automated

Thorough audits, on every single conversation.

Audibot v2 Sales pitch Q2 2026
Part 01

The problem

Industry baseline · 2025

78%

of QA-flagged voice conversations go unreviewed before the customer renews, cancels, or escalates.

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Why manual QA breaks

Sampling misses the expensive conversations.

Traditional QA teams sample 3–5% of calls. The ones that get reviewed are the short ones, the clean ones, the ones that didn't escalate.

The 20-minute calls where the agent lost the thread, the cancellation where the save offer never got made, the renewal where the upsell was mispriced — those sit in the 97% that never gets heard. They're also the calls worth the most money.

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Part 02

The solution

What Audibot does

Audits 100% of calls — structured, scored, searchable.

Every conversation your agents handle gets transcribed, scored against your rubric, and indexed within 90 seconds of the call ending.

No sampling. No queues. No "we'll get to it." The rubric is yours — the same one your QA leads already use, translated once into Audibot's scoring schema and versioned from there.

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How it works

Four steps, from call end to reviewable evidence.

A call ends in your telephony stack. Audibot receives the recording via a webhook you already have wired — Twilio, Five9, Genesys, whatever you're on.

By the time a supervisor opens the dashboard the next morning, every call from the previous day is scored, tagged, and linked to the clip of the moment that drove the score.

  1. Ingest — recording + metadata via webhook.
  2. Transcribe — diarized, timestamped, redacted.
  3. Score — rubric applied, criterion by criterion.
  4. Publish — evidence linked, alerts dispatched.
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Measured across 12 deployments · Q1 2026

3.2×

faster than your current QA cycle — and it reviews every call, not 3%.

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Part 03

The proof

Customer · Meridian Insurance
We went from reviewing 4% of our retention calls to reviewing all of them in the first week. The first save script we rewrote off Audibot evidence lifted renewal 11 points.
Nuria Bellón — VP Customer Operations, Meridian Insurance
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Six customers · Q1 2026 pilot cohort

Retention lift, first quarter after deployment.

Retention lift by customer, percentage points 0 4 8 12 16 pp +11 pp +13 pp +8.8 pp +14 pp +10 pp +6.8 pp Meridian NovaFi HarborCare Relay Torq CedarLine — — Cohort median · 10.7 pp
Source: Ontopix customer telemetry, Q1 2026. Pre-deployment baselines ranged 68.4% → 81.2% trailing 12-month retention.
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Pricing

Three tiers, volume-priced, annual.

Per-minute rates. Support and SLA scale with tier. Custom tier for > 5M minutes / year.
Plan For Included minutes / mo Rate / min From / year
Team Single-brand operations, one rubric, standard integrations. 50,000 $0.042 $25,200
Scale Multi-brand, multi-rubric, priority support, quarterly business review. 250,000 $0.034 $102,000
Enterprise Private deployment, SOC 2 Type II evidence pack, named CSM, 99.95% SLA. 1,000,000+ $0.027 Contact us
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Ready to audit every call?