Call Intelligence Platform
The AI call intelligence platform built for AI voice teams
Traditional call intelligence tools were built for human call centres. Sherlock Calls is built for teams running AI voice agents on Twilio, ElevenLabs, Vapi, and Retell — investigating failures, tracking costs, and correlating events across your full provider stack, in plain English from Slack.
100 free credits · No credit card required · Operational in under 2 minutes
The problem
Traditional call intelligence was built for human call centers
Gong, Chorus, CallRail, and Invoca were all designed for one use case: recording human-to-human calls and attributing them to marketing campaigns. None of them can investigate an AI voice agent that failed silently across three providers at 2am.
4–6 hrs
Average manual incident investigation time
Correlating Twilio logs, ElevenLabs exports, and CRM records by hand across disconnected provider dashboards.
30–40%
Of AI call failures are silent
Twilio bills the call as 'completed'. ElevenLabs logs a successful generation. No error fires. The caller experienced a failure — and you never found out.
3+ providers
Involved in every AI voice call
Telephony, TTS engine, CRM, and sometimes an analytics or ad platform — all touching the same call, none sharing logs automatically.
What Sherlock does
Call intelligence designed for AI voice operations
Natural language call investigation
Ask anything about your calls in plain English from Slack. 'Why did the calls from area code 415 fail yesterday?' or 'Show me calls that cost more than $2 and resulted in no CRM record.' Sherlock queries all your connected providers and returns a sourced answer in under 5 seconds.
Cross-provider correlation
A single AI voice call creates events in Twilio, ElevenLabs (or Vapi), and your CRM — simultaneously. Sherlock matches Twilio call SIDs to ElevenLabs session IDs using timestamp alignment, correcting for the 200–500ms provider clock drift that makes manual correlation unreliable.
Silent failure detection
Traditional call intelligence tools only surface errors that providers explicitly log. Sherlock identifies silent failures — calls where every provider logs success but the caller experienced a broken interaction — by correlating silence detection timing, TTS latency, and call duration against your typical patterns.
Per-call cost breakdown
See exactly what each call cost across every provider: Twilio telephony minutes ($0.0085/min inbound), ElevenLabs TTS characters ($0.30/1K chars on Turbo), Vapi compute time, and any other billing event. Identify which call configurations are running 3–5x over expected cost.
15+ provider integrations, zero code
Connect Twilio, ElevenLabs, Vapi, Retell AI, Bland AI, Genesys, Amazon Connect, HubSpot, Salesforce, Datadog, Google Ads, and 5+ more by entering API keys in Slack. No SDK. No code changes. No infrastructure to maintain.
Lives in Slack — no new tools to learn
Sherlock operates entirely inside your existing Slack workspace. Your engineering team, ops team, and founders all investigate calls in the same channel where they already work. One message triggers the full investigation.
How it compares
AI call intelligence vs traditional call analytics
| Feature | Sherlock Calls | Gong / Chorus / CallRail / Invoca |
|---|---|---|
| Designed for | AI voice agents (Twilio, ElevenLabs, Vapi, Retell) | Human call centers and marketing attribution |
| Query style | Plain English in Slack | Dashboard navigation and manual export |
| Cross-provider correlation | Automatic, across 15+ providers | Manual — download CSVs from each system |
| Silent failure detection | Yes — detects calls that failed without errors | No — only surfaces provider-logged errors |
| Per-call AI cost tracking | Yes — TTS characters, telephony minutes, compute | No — not built for AI provider billing models |
| Time to first insight | Under 5 seconds, from Slack | Minutes to hours of manual correlation |
| Setup | API keys in Slack, under 2 minutes | Multi-week enterprise implementation |
| Free tier | Yes — 100 credits, no credit card | No |
See detailed comparisons: vs CallRail · vs Gong · vs Invoca · vs Chorus
Integrations
Intelligence across your entire voice stack
Connect every provider in your AI voice pipeline and get cross-provider call intelligence from the moment you add Sherlock to Slack.
+5 more providers · View all integrations
FAQ
Call intelligence questions answered
What is a call intelligence platform?
A call intelligence platform analyses voice call data to surface operational insights — why calls fail, what they cost, which providers caused issues, and how call outcomes correlate with business results. Traditional call intelligence tools were built for human-to-human call recording and coaching. Modern AI call intelligence platforms like Sherlock Calls are built for teams running autonomous AI voice agents on providers like Twilio, ElevenLabs, and Vapi.
How is Sherlock Calls different from traditional call intelligence tools?
Traditional call intelligence tools (Gong, Chorus, CallRail) were designed for human call centres and marketing attribution. They record human conversations and score them against quality rubrics. Sherlock Calls is designed for AI voice agents — it investigates programmatic failures, correlates events across multiple providers simultaneously (Twilio, ElevenLabs, Vapi, HubSpot), and delivers answers in plain English from Slack in under 5 seconds.
What call intelligence questions can Sherlock Calls answer?
Sherlock Calls answers operational questions about AI voice calls: 'Why did 14 calls fail Tuesday night?', 'Show me the 5 most expensive calls this week and what went wrong', 'Which Twilio error codes appeared more than 3 times today?', 'What is the average ElevenLabs latency for calls that resulted in a booking vs. calls that failed?'. Any question that requires correlating data across multiple voice providers can be answered in plain English from Slack.
Which voice providers does Sherlock Calls support?
Sherlock Calls connects to Twilio, ElevenLabs, Vapi, Retell AI, Bland AI, Genesys, Amazon Connect, Aircall, HubSpot, Salesforce, Datadog, Zoho CRM, Microsoft Dynamics, Google Analytics, Google Ads, Meta Ads, Pipedrive, and Google Search Console — 15+ providers with zero code changes required.
Is Sherlock Calls free to start?
Yes. Every Slack workspace gets 100 free credits with no credit card required. One credit is consumed each time Sherlock queries a connected provider. Most teams can investigate 50–80 calls before needing to upgrade. Team plans start at $50/month for 20,000 credits.
Ready to investigate your AI voice calls?
Connect Sherlock to your voice providers in under 2 minutes. Free to start — 100 credits, no credit card required.
Add to Slack — it's free