AI Voice Analytics for Calls: Turn Recordings into Coaching Signals
Your call library is a black box. Thousands of sales and support recordings sit unused because no one has time to review them all. Call analysis and speech analytics should not depend on a manager scrubbing random files every Friday.
We build AI voice analytics that scores tone, keywords, and patterns across every recording, then feeds coaching and compliance insights straight into your CRM.
Sound Familiar?
These are the exact issues sales ops and contact-centre leads bring us before speech analytics:
- Thousands of sales and support recordings sit in storage because nobody has time to listen
- Managers spot-check a handful of calls a week and coach from anecdotes, not patterns
- Talk-listen ratios, keyword misses, and compliance phrases never surface until a deal dies or a complaint lands
- Top performers' behaviours stay locked in their own call libraries instead of becoming team standards
- QA and compliance reviews cover a tiny sample, so risk and coaching opportunities hide in the other 95%
A manager with eight reps running six calls a week faces roughly 48 recordings to review. Industry data shows only about 9% of sales calls ever get heard. Contact centres that sample ~5% make coaching and compliance decisions on one in twenty interactions. The other nineteen stay invisible.
What Voice Analytics Actually Does
Call ends → scored for tone and keywords → insights in CRM → coaching queue. No manager listening to every recording.
Recording Lands
Sales or support call is stored from your dialler or contact-centre platform
AI Scores the Call
Tone, keywords, talk-listen ratio, objections, and compliance phrases extracted
Insights Hit CRM
Scores and flagged moments write back to the deal or contact record
Managers Coach
Short coaching queues replace hours of random spot-checks
Speech Analytics Built for Sales Ops and Contact Centres
100% Call Scoring
Every recorded sales and support call is transcribed and scored for tone, keywords, talk-listen ratio, and script adherence. Managers stop guessing from a 5% sample.
Talk-Listen & Behaviour Signals
AI flags reps who dominate the conversation, miss discovery questions, or skip closing language. Coaching targets the behaviours that move conversion, not gut feel.
Keyword & Objection Mining
Surface budget, competitor, timeline, and objection phrases across thousands of calls. Product and sales ops see what prospects actually say, at scale.
Compliance Phrase Alerts
Required disclosures, ID checks, and banned phrases are checked on every recording. Misses queue for QA instead of waiting for a random spot-check.
CRM Insight Write-Back
Scores, talk ratios, flagged moments, and coaching tips land on the deal or contact in HubSpot, Salesforce, or Pipedrive so context stays where the team works.
Manager Coaching Queues
Instead of scrubbing recordings for hours, managers open a short queue of the calls that need attention and coach from evidence, not memory.
Platforms We've Wired for Voice Analytics
From 95% Unreviewed to Coaching on Every Call
How a 40-seat B2B contact centre turned a black-box call library into conversion lift and five recovered manager hours a week.
The Spot-Check Process
- Two team leads reviewed roughly 5% of recordings, about eight calls each per week
- Eight hours a week per manager spent scrubbing audio and filling scorecards by hand
- Talk-listen ratios and missed closing language never surfaced until deals stalled
- Compliance disclosures were checked on a tiny sample, so misses hid in the other 95%
- Coaching relied on anecdotes from the few calls someone happened to hear
The Analytics Process
- Every recording scored for tone, keywords, talk-listen ratio, and required phrases
- Managers open a short coaching queue of flagged moments instead of random scrubbing
- Scores and tips write back to HubSpot contacts and deals the same day
- Compliance misses auto-queue for QA within hours, not next month's sample
- Weekly coaching focuses on behaviours that top closers already use
Before vs After Voice Analytics
How It Works
From first conversation to live speech analytics in 3–5 weeks.
Tell Us Your Setup
Where recordings live, which CRM and dialler you use, and what coaching or compliance outcomes matter most.
Free Scoping Call
30-minute call with your sales ops or contact-centre lead to map scorecards, phrase libraries, and CRM write-back fields.
Build & Test
We wire speech analytics across your call library, calibrate scores against calls your managers already know, then parallel-test for a week.
Go Live & Monitor
Stop spot-checking in the dark. Monitoring watches coverage, score confidence, compliance flags, and CRM sync health.
Frequently Asked Questions
How is AI voice analytics different from meeting transcription?
Meeting transcription captures live Zoom or Teams conversations into notes and tasks. AI voice analytics scores tone, keywords, talk-listen ratio, and compliance phrases across your recorded sales and support call library at scale. One produces minutes; this produces coaching and QA signals from thousands of calls nobody has time to replay.
Which diallers, CRMs, and recording systems can you connect?
We pull recordings from Aircall, RingCentral, Twilio, 3CX, and similar platforms, and write scores and coaching tips into HubSpot, Salesforce, Pipedrive, Zoho CRM, or a custom CRM with an API. If you already licence Gong, Chorus, CallMiner, or a similar CI tool, we can integrate those insights into your CRM and ops workflows instead of replacing them.
Will this replace our managers' coaching?
No. The AI does the listening volume humans cannot. Managers still coach, but they start from flagged moments, talk ratios, and missed compliance phrases instead of scrubbing random recordings for hours. Teams that coach weekly from CI data typically see faster payback than teams that only buy the software.
What about POPIA, consent, and call recording rules?
We configure consent notices, retention windows, and role-based access so only the right people see sensitive calls. Recordings and transcripts stay in systems you control. Compliance phrase libraries are tailored to your industry scripts and disclosure requirements.
How accurate is speech analytics on South African accents and noisy lines?
Modern models handle clear audio well; noisy lines and heavy accents need calibration. We tune keyword and scorecard rules on your real recordings during parallel testing, and low-confidence calls land in a short human review queue instead of inventing a score.
How much does AI voice analytics for calls cost?
A focused pipeline scoring one dialler into a single CRM starts from around R40,000. Multi-queue contact centres with compliance libraries, coaching queues, and monitoring typically range from R55,000 to R90,000. Teams recovering several manager hours a week and even a modest conversion lift usually see payback within 2–3 months.
Stop Leaving Call Insights on the Shelf
If your sales and support recordings are stacking up unused, you are paying for storage on coaching signals, compliance flags, and conversion patterns nobody can hear.
Tell us where your recordings live, which CRM your team lives in, and what coaching or compliance outcomes matter most. We will show you exactly how AI voice analytics would work on your call library.