Sherlock Calls
for Aircall + Bland AI
Aircall logs your sales team's calls, tags, and recordings in real time. Bland AI runs AI-powered outbound calling campaigns at scale. When you need to investigate across both, the evidence is split between two dashboards neither of which knows the other exists. Sherlock Calls bridges them — no code, no exports, no manual joins. Ask once from Slack and get a sourced answer in under 5 seconds.
TL;DR — What beta users get access to
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Sherlock Calls connects to Aircall, Bland AI simultaneously — read-only, no code changes, no webhooks — and lets you query both with a single Slack message.
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Ask questions that neither Aircall nor Bland AI can answer alone. Aircall shows call counts — not which calls are actually moving deals forward. Bland AI shows campaign outcomes — not the carrier-level errors silently killing them. Sherlock deduces the complete picture from both.
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No dashboard switching, no manual joins, no fog of uncertainty — ask in Slack and receive a sourced answer with evidence from every connected provider in under 5 seconds. The game is afoot.
<5s
Answer to any telephony + voice AI query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Aircall + Bland AI without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
The root cause of call failures is split between Aircall and Bland AI
Aircall logs the SIP error. Bland AI logs the agent session. But was it a carrier issue, a Bland AI logic fault, or both? Without correlating both case files, your team eliminates the wrong suspects every time.
Your true cost per AI-handled call spans two invoices
Aircall bills for minutes and phone numbers. Bland AI bills for agent runtime. The actual cost of each completed AI conversation lives across both bills — and neither platform shows you the combined figure.
Human escalation patterns vanish at the handoff boundary
When a Bland AI agent transfers to a human via Aircall, that event is recorded in both systems with different identifiers. Tracking escalation rates across your AI fleet requires a manual join that nobody has time to do.
Cross-Provider Questions
What teams ask Sherlock about Aircall + Bland AI
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which Bland AI agents have the highest Aircall call failure rate in the last 7 days?”
- SC“What's our blended cost per AI-handled call across Aircall and Bland AI this month?”
- SC“Show me all calls where a Bland AI agent transferred to a human via Aircall”
- SC“Which Aircall phone numbers produce the most successful Bland AI conversation completions?”
- SC“Compare average call duration for Bland AI-handled vs human-handled calls on our Aircall numbers”
Beta Setup
Connect Aircall + Bland AI to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect Aircall
Add your Aircall credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Aircall configuration required.
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Connect Bland AI
Add your Bland AI credentials. Sherlock indexes all outbound AI call logs, transcripts, and campaign metrics automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Aircall + Bland AI stack in Slack. Sherlock queries all connected platforms in parallel, correlates the evidence, and returns a sourced answer in under 5 seconds.
FAQ
Common questions about Sherlock + Aircall + Bland AI
How does Sherlock Calls connect Aircall and Bland AI data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Aircall, Bland AI in parallel, correlates the results by timestamp and shared identifiers, and produces a single sourced answer — the same way a good detective correlates evidence from multiple witnesses.
Do I need to set up any data pipelines between Aircall and Bland AI?
- No. Sherlock Calls is entirely pull-based — it queries both APIs on demand when you ask a question. There are no webhooks, no ETL pipelines, no data warehouses, and no code changes required in any of the connected platforms.
What kinds of questions can I ask about my Aircall + Bland AI stack?
- You can investigate anything that spans both platforms — rep call activity and talk-time per deal, live-answer rate and conversion per campaign, cross-platform costs, handoff patterns, and performance comparisons. Sherlock translates your plain-English question into the right API calls and returns the deduced answer.
Is my Aircall and Bland AI data stored by Sherlock?
- No. Sherlock Calls queries your data in real time and returns results directly to Slack — nothing is stored, indexed, or replicated in any Sherlock database. All data remains in Aircall and Bland AI and is accessed only during an active investigation.
How long does it take to set up the Aircall + Bland AI integration?
- Elementary — typically under 5 minutes total. Connect each platform with read-only credentials, install the Sherlock Calls Slack app, and ask your first question. No engineering, no dashboards, no onboarding calls required.
Apply for early access to Sherlock + Aircall + Bland AI
We're accepting a select group of beta users to shape the Aircall + Bland AI combination. Tell us about your stack and we'll reach out personally if you're a fit.
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