Sherlock Calls vs Convin
Convin provides AI conversation intelligence and quality assurance for human contact center agents. 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
Convin is a contact center quality assurance platform for teams managing human agents. Sherlock Calls is an AI voice operations tool for teams managing AI voice agents.
- 2
Convin has no integrations with AI voice providers like ElevenLabs, Vapi, or Retell and does not investigate AI-generated call failures across multi-provider stacks.
- 3
Sherlock Calls connects to your AI voice providers via API keys and delivers cross-provider call investigation from Slack — silent failures, cost overruns, and Twilio error codes resolved in seconds.
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
Convin
AI-powered conversation intelligence for contact centers
Convin is an AI conversation intelligence platform for contact centers. It records, transcribes, and analyses human agent calls for quality assurance, compliance monitoring, and coaching, using automated scoring and real-time guidance.
- Automated call quality scoring — evaluates 100% of agent calls against customizable rubrics for compliance, empathy, and script adherence
- Real-time agent guidance provides in-call suggestions to human agents based on what customers are saying
- Conversation intelligence dashboards aggregate call quality scores, CSAT predictions, and coaching outcomes for supervisor review
- Omnichannel coverage includes voice calls, chat, and email conversations within a single quality assurance workflow
Feature comparison — Call Intelligence & Analytics
Sherlock Calls vs Convin & peers
All tools in the Call Intelligence & Analytics category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | Convinthis page | CallRail | Chorus by ZoomInfo | Gong | Invoca |
|---|---|---|---|---|---|---|
| AI call investigation | ||||||
| AI agent & LLM tracing | ||||||
| AI governance & compliance | ||||||
| Offline LLM evaluation | ||||||
| Provider integrations | 15+ (all voice) | Contact center platforms (human) | 50+ (marketing-focused) | Zoom, Teams, phone (human) | Zoom, Teams, phone (human) | 50+ (enterprise marketing) |
| Cross-provider correlation | ||||||
| Natural language queries | ||||||
| Zero-code setup | ||||||
| Per-call cost tracking | ||||||
| Free tier available |
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Key differences
Why teams switch from Convin to Sherlock
AI Voice Agents vs Human Agent QA
Sherlock Calls
Sherlock Calls investigates autonomous AI voice agents — systems running on ElevenLabs, Vapi, Retell, or Twilio that place and receive calls without human reps. It finds why calls failed, what they cost, and which provider caused the issue, in a single Slack query.
Convin
Convin is designed for contact centers with human agents — its core value is automated quality scoring, coaching, and compliance monitoring for human-to-human interactions. It has no integrations with AI voice providers and no ability to debug AI agent call pipelines.
Production Failure Investigation vs Quality Assurance Scoring
Sherlock Calls
When an AI voice call fails silently — Twilio billing shows 'completed' but the caller experienced a failure — Sherlock correlates the Twilio call SID with ElevenLabs session latency, identifies the silent failure root cause, and surfaces it in Slack in seconds.
Convin
Convin scores human agent interactions after calls complete. It evaluates script adherence, sentiment, and compliance. It does not investigate programmatic call failures, API errors, TTS latency spikes, or the cross-provider correlation needed to diagnose AI voice pipeline issues.
Free Tier with Zero-Code Setup vs Enterprise Implementation
Sherlock Calls
Sherlock starts with 100 free credits and zero code changes. Enter your API keys in Slack and start investigating AI voice calls in under 2 minutes. No implementation project, no call recording infrastructure, no per-agent seat pricing.
Convin
Convin is an enterprise contact center platform requiring a full implementation — connecting to existing telephony infrastructure, training QA rubrics, configuring scoring models, and onboarding supervisors and agents. Pricing is per-agent seat on an annual contract.
Which tool is right for you?
When to choose Sherlock vs Convin
Choose Sherlock Calls if…
- Your voice operations run on AI agents rather than human contact center agents
- You need to investigate production call failures across Twilio, ElevenLabs, Vapi, or Retell
- You want cross-provider cost and error correlation from Slack without a QA platform
- You need to get started immediately without an enterprise implementation project
Consider Convin if…
- You run a contact center with human agents and need automated QA scoring and compliance monitoring
- Your priority is coaching human agents on script adherence, empathy, and customer satisfaction
- You need omnichannel QA across voice, chat, and email for a human agent workforce
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
Convin
Enterprise custom (per-agent seat)
Convin does not publish list pricing. It is sold on annual contracts with per-agent seat pricing, typically targeting contact centers with 50+ agents. A sales demo is required to obtain a quote.
* Pricing sourced from public information. Contact Convin for current rates.
FAQ
Frequently asked questions
What is the difference between Sherlock Calls and Convin?
Convin is an AI conversation intelligence and QA platform for human contact center agents — it scores 100% of calls against quality rubrics and provides coaching. Sherlock Calls is an AI voice operations tool for teams running AI voice agents on Twilio, ElevenLabs, Vapi, and similar providers — it investigates production failures and costs across the full provider stack.
Can Convin debug AI voice agent failures on Twilio or ElevenLabs?
No. Convin is designed for human contact center QA — evaluating human-to-human interactions against quality rubrics. It has no integrations with AI voice providers like ElevenLabs, Vapi, or Retell, and no capability to investigate AI agent call pipeline failures or correlate cross-provider error events.
Is Sherlock Calls a good Convin alternative for AI voice teams?
Yes — if your team is operating AI voice agents rather than managing human contact center agents. Sherlock connects to AI voice providers via API keys, operates entirely from Slack, starts free, and delivers production call investigation in seconds. Convin was not designed for AI voice agent operations.
How do I migrate from Convin to Sherlock Calls?
No migration required — these tools serve different use cases. Convin handles human agent QA; Sherlock handles AI voice agent investigation. If you are replacing a human contact center with AI voice agents, Sherlock Calls connects to your AI providers in under 2 minutes and starts working immediately.
Does Sherlock Calls replace Convin?
Only if your contact center has transitioned from human agents to AI voice agents. For human-agent QA and coaching, Convin remains the right tool. For AI voice agent operations — debugging failures, tracking costs, correlating cross-provider events — Sherlock Calls is purpose-built for that workflow.
Ready to investigate your calls the smarter way?
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