Sherlock Calls vs Gong
Gong records and analyses human sales rep calls to improve win rates. Sherlock Calls investigates AI voice agent failures in production — across Twilio, ElevenLabs, Vapi, and every provider in your stack.
TL;DR — The short answer
- 1
Gong is purpose-built for sales teams with human reps — it analyses human-to-human conversations to improve win rates. Sherlock Calls is purpose-built for AI voice operations teams debugging AI-generated call failures.
- 2
Gong has no integrations with AI voice providers like ElevenLabs, Vapi, or Retell — its entire architecture is built for human conversation analysis.
- 3
If your voice stack runs AI agents rather than human sales reps, Sherlock is the right investigation layer — and it operates entirely from Slack.
Understanding both tools
Sherlock Calls
AI-powered voice call investigation
Sherlock Calls is a Slack-native AI investigator purpose-built for voice operations teams. Connect your existing providers — Twilio, ElevenLabs, Vapi, Genesys, and 12 more — and ask questions about your calls in plain English. Sherlock autonomously gathers data across all connected services, correlates events, and delivers a sourced answer in under 5 seconds. No new dashboards. No SDK. No code changes.
- Works inside Slack — no new UI to learn
- Connects to 15+ voice providers in minutes
- Investigates calls autonomously with AI
- Free tier — 100 credits per workspace
Gong
Revenue intelligence powered by the most advanced AI
Gong is a revenue intelligence platform that records, transcribes, and analyses human-to-human sales calls. It uses AI to surface deal risks, identify coaching moments, and forecast pipeline based on what sales reps actually say.
- Automatic recording and transcription of sales calls across Zoom, Teams, phone, and email — with speaker identification and sentiment analysis
- Deal intelligence identifies risks and opportunities in active pipeline using AI analysis of conversation patterns across thousands of calls
- Coaching tools highlight individual and team talk track improvements, objection handling, and competitive positioning based on actual call data
- CRM auto-population writes call summaries, next steps, and engagement data back to Salesforce, HubSpot, and other CRMs automatically
Feature comparison — Call Intelligence & Analytics
Sherlock Calls vs Gong & peers
All tools in the Call Intelligence & Analytics category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | Gongthis page | CallRail | Chorus by ZoomInfo | Convin | Invoca |
|---|---|---|---|---|---|---|
| AI call investigation | ||||||
| AI agent & LLM tracing | ||||||
| AI governance & compliance | ||||||
| Offline LLM evaluation | ||||||
| Provider integrations | 15+ (all voice) | Zoom, Teams, phone (human) | 50+ (marketing-focused) | Zoom, Teams, phone (human) | Contact center platforms (human) | 50+ (enterprise marketing) |
| Cross-provider correlation | ||||||
| Natural language queries | ||||||
| Zero-code setup | ||||||
| Per-call cost tracking | ||||||
| Free tier available |
Scroll horizontally to compare all tools →
Key differences
Why teams switch from Gong to Sherlock
AI Voice Agents vs Human Sales Reps
Sherlock Calls
Sherlock Calls is built for teams running AI voice agents — autonomous systems that make and receive calls without human reps. It investigates programmatic failures: Twilio error codes, ElevenLabs latency spikes, Vapi session anomalies, and cross-provider cost overruns.
Gong
Gong is designed for human-to-human sales conversations. Its entire value proposition — coaching reps, surfacing deal risks, improving talk tracks — assumes human reps are making the calls. It has no integrations with AI voice providers and no ability to debug AI agent call pipelines.
Cross-Provider AI Call Correlation vs Single-Session Recording
Sherlock Calls
A single AI voice call touches Twilio, ElevenLabs or Vapi, your CRM, and sometimes Datadog or Google Analytics. Sherlock correlates all of these in one query — pulling error codes, TTS latency, conversion outcomes, and costs simultaneously.
Gong
Gong records sessions from video and voice conferencing tools. It does not have access to AI voice provider APIs, cannot correlate call events across telephony and TTS engines, and cannot track costs across AI voice provider billing systems.
Slack-Native Operations vs Enterprise Sales Platform
Sherlock Calls
Sherlock runs in your existing Slack. One message — 'Why did the AI calls to the mortgage leads fail last night?' — triggers a multi-provider investigation and returns a sourced answer in under 5 seconds. No new platform for your team to learn.
Gong
Gong operates through its own web platform, requiring sales managers and reps to log in, navigate dashboards, and learn a separate interface. At $100–$200/user/month, it is also priced for sales team deployment at scale, not for engineering or operations teams.
Which tool is right for you?
When to choose Sherlock vs Gong
Choose Sherlock Calls if…
- Your calls are made by AI voice agents, not human sales reps
- You need to investigate production failures — silent failures, Twilio errors, TTS latency issues
- You want cross-provider cost and error correlation from Slack in seconds
- Your stack runs Twilio, ElevenLabs, Vapi, Retell, or similar AI voice providers
Consider Gong if…
- You have human sales reps making calls and want AI coaching, deal intelligence, and win-rate improvement
- You need to connect call conversation quality to pipeline outcomes and CRM data
- Your primary use case is sales enablement and revenue forecasting from human call patterns
Pricing
Cost comparison
Sherlock Calls
Free to start
100 credits per Slack workspace. Team plans from $50/month. No credit card required to start.
- Free tier — 100 credits/workspace
- Team: $50–$5,000/month (usage-based)
- Enterprise: custom pricing
- No sales call required to start
- Cancel anytime
Gong
~$100–$200/user/month (estimated)
Gong does not publish list pricing. Industry estimates range from $100 to $200 per user per month, with annual contracts typically required. A sales engagement and demo are required before pricing is disclosed.
* Pricing sourced from public information. Contact Gong for current rates.
FAQ
Frequently asked questions
What is the difference between Sherlock Calls and Gong?
Gong is a revenue intelligence platform for human sales teams — it records and analyses human-to-human calls to improve win rates and coach reps. Sherlock Calls is an AI voice operations tool for teams running AI voice agents — it investigates failures and costs across Twilio, ElevenLabs, Vapi, and other AI voice providers from Slack.
Can Gong monitor AI voice agent calls?
No. Gong's architecture is designed for recording and analysing human conversations on conferencing platforms like Zoom and Teams. It has no integrations with AI voice providers (ElevenLabs, Vapi, Retell, Bland AI) and no ability to correlate AI agent events across telephony and TTS provider logs.
Is Sherlock Calls a good Gong alternative?
Only if you're running AI voice agents rather than human sales teams. Sherlock Calls and Gong serve fundamentally different use cases. If you have human sales reps and need deal intelligence and coaching, Gong is purpose-built for that. If you have AI voice agents and need production debugging and cost investigation, Sherlock Calls is the right tool.
How do I migrate from Gong to Sherlock Calls?
No migration needed — these tools serve entirely different teams. Gong is for human sales reps; Sherlock is for AI voice operations. If you currently use Gong for human sales calls and are now building AI voice agent workflows, Sherlock connects to your AI voice providers in under 2 minutes and runs alongside Gong without any conflict.
Does Sherlock Calls replace Gong?
Not for human sales teams. Gong has deep value for sales organisations with human reps. Sherlock Calls is the right replacement only if your use case is AI voice agents — which Gong was never designed to support. They are complementary in organisations that run both human and AI voice calls.
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