Case Studies
How Sherlock helped them
Real stories from teams that stopped guessing and started investigating. See how Sherlock transformed their voice AI operations.
Catching 340+ Silent Call Failures During Student Enrollment Peaks
A leading EdTech platform's student support calls were silently failing during enrollment peaks — with no dashboard surfacing it. Sherlock traced the root cause in hours.
15h/wk
Debug time saved
340+
Issues detected
99.2%
Uptime achieved
Cutting Voice AI Costs 34% by Exposing Hidden Duplicate Calls
A leading digital mortgage broker's voice AI spend was climbing without explanation — Sherlock revealed duplicate calls and inefficient TTS usage draining their budget.
34%
Cost reduction
<2 min
Avg debug time
$12K
Monthly savings
Finding the 25-Second Prompt Killing 60% of Post-Sale Surveys
The country's #1 car marketplace had a 4% survey completion rate — Sherlock transcribed thousands of calls and found the exact prompt causing 60% of disconnects at the 25-second mark.
3x
Completion rate
48h
Time to insight
Zero
Manual reviews
Unifying 6 AI Agent Teams into a Single Source of Truth
One of the country's largest real estate servicers ran 6 different AI voice agents with a separate dashboard for each. Sherlock became their single cross-agent source of truth in Slack.
6
Agents unified
<5 min
Time to answer
20h
Hours freed/week
Pinpointing the Onboarding Question That Stalled 40% of New Users
A leading European SaaS company had a high onboarding call drop-off rate but no tooling to analyze what happened inside those conversations. Sherlock found the bottleneck in hours.
40%
Fewer drop-offs
Real-time
Monitoring
2x
Activation rate
Recovering Unreachable Leads by Tracing the Optimal Outreach Window
A major distance learning institution had thousands of leads marked unreachable after failed contact attempts. Sherlock analyzed outreach patterns to identify the contact windows that actually converted.
1.4K
Recovery calls/week
37s
Avg connected call
2%
Weekly lead recovery