AI Call Analyzer:
Every Call Reviewed. Automatically.
Stop sampling 5% of calls and hoping for the best. We build custom AI systems that transcribe, diarize, and analyze every sales call against your rubric. Compliance scoring, coaching insights, and trend detection, all in real time.
How It Works
Audio Ingestion
Calls flow in automatically via webhook from your recording platform (RingCentral, Twilio, Aircall, Zoom, Teams, or custom VoIP). No manual uploads.
Transcription + Speaker Diarization
Deepgram Nova-2 transcribes at ~6% word error rate even on noisy mobile audio. Speaker diarization separates rep speech from customer speech so you know who said what.
LLM Scoring Against Your Rubric
Each call is scored against your specific compliance checklist or coaching criteria. Per-section pass/fail with 2-3 sentence explanations, not just a number. 94% agreement with human reviewers.
Dashboard + Insights
Scores, trends, and flagged calls on a dashboard your managers actually use. Filter by rep, date, compliance section. Export reports. Same-day feedback instead of 2-3 week review cycles.
Build Custom vs. Buy Gong / CallRail
Off-the-shelf tools are great for standard sales coaching. Build custom when your needs go beyond generic analytics.
Buy Gong / CallRail When:
- ○ Standard sales coaching metrics
- ○ Generic sentiment analysis
- ○ No custom compliance rubrics
- ○ You're okay with vendor pricing per seat
Build Custom When:
- ✓ Domain-specific compliance rubrics
- ✓ Integration with internal CRM/systems
- ✓ Custom scoring criteria per team or product
- ✓ You want to own the pipeline and data
- ✓ Volume above 200 calls/week (cost advantage)
Who Uses This
Compliance Teams
Score every call against regulatory rubrics. Flag violations in real time. Cut manual QA costs by 95%.
Sales Leaders
Track talk ratios, objection handling, and closing patterns. Coach reps with per-call breakdowns instead of quarterly reviews.
Call Centers
Monitor agent quality at scale. Detect escalation patterns. Route flagged calls for review without listening to every one.
Results from Production
From a compliance call analyzer we built and deployed in 2 weeks:
Improvement in overall sales compliance scores across the team
Reduction in QA review cost. Humans now review only flagged edge cases
Call coverage. Every call reviewed, not a 5% sample
Feedback to reps. Previously took 2-3 weeks through manual review cycles
FAQ
How much does a custom AI call analyzer cost?
A production-ready system typically costs $15,000-$30,000 as a fixed-bid project, depending on integrations and dashboard complexity. Ongoing costs run about $0.04 per call (transcription + LLM scoring). We start with a working prototype in 72 hours so you can validate before committing to a full build.
How long does it take to build?
Working prototype: 72 hours. Production-ready with dashboard, integrations, and compliance rubrics: 2-4 weeks. Our last project went from kickoff to production in 2 weeks, processing hundreds of calls daily from day one.
How accurate is AI call analysis compared to human reviewers?
Our LLM-based scoring reaches 94% agreement with human reviewers on compliance rubrics. Keyword-based approaches (what most basic tools use) hit only 58%. The difference comes from using structured rubrics with per-section scoring rather than pattern matching.
Should I build custom or buy Gong / CallRail?
If your needs are standard sales coaching and conversation analytics, Gong does it well. Build custom when you need domain-specific compliance rubrics, integration with internal systems, custom scoring criteria, or ownership of your data pipeline. At scale (200+ calls/week), custom is also cheaper per call.
What recording platforms do you integrate with?
Any platform with API access to recordings or webhooks: RingCentral, Twilio, Aircall, Zoom, Google Meet, Microsoft Teams, and custom VoIP systems. Audio comes in via webhook or batch upload.
See it working before you pay
Tell us what you're analyzing. We'll show you a working prototype in 72 hours.