Sherlock Calls
for Bland AI + Granola
Bland AI runs AI-powered outbound calling campaigns at scale. Granola captures every meeting as structured, searchable AI notes on macOS. 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 Bland AI, Granola 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 Bland AI nor Granola can answer alone. Bland AI shows campaign outcomes — not the carrier-level errors silently killing them. Granola holds what was decided in every meeting — but those decisions are invisible during investigations. 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 voice AI + productivity query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Bland AI + Granola without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Bland AI and Granola each hold half the picture
Bland AI shows campaign outcomes — not the carrier-level errors silently killing them. Granola holds what was decided in every meeting — but those decisions are invisible during investigations. Without correlating both, your team sees two incomplete views of the same underlying reality — and every investigation stops at the boundary between systems.
Cross-platform cost and performance remain invisible
Bland AI tracks its own per-minute agent cost. Granola tracks its own time to reconstruct meeting context. Your true cost per outcome — and the performance of each component in your combined stack — requires data from both, but neither platform shows you that unified picture.
Critical events disappear at the boundary between systems
When a session, contact, or signal moves between Bland AI and Granola, the transition is recorded with different identifiers in each system. Tracing what happens across the full journey requires a manual join that takes hours you don't have.
Cross-Provider Questions
What teams ask Sherlock about Bland AI + Granola
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“What's the combined activity across Bland AI and Granola in the last 7 days?”
- SC“Show me events that touched both Bland AI and Granola in the last 24 hours”
- SC“What's our blended cost per outcome across Bland AI and Granola this month?”
- SC“Which Bland AI sessions had issues that correlate with Granola events this week?”
- SC“Compare performance metrics across Bland AI and Granola for the past 30 days”
Beta Setup
Connect Bland AI + Granola to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect Bland AI
Add your Bland AI credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Bland AI configuration required.
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Connect Granola
Add your Granola credentials. Sherlock indexes all AI meeting notes, decisions, action items, and summaries automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Bland AI + Granola 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 + Bland AI + Granola
How does Sherlock Calls connect Bland AI and Granola data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Bland AI, Granola 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 Bland AI and Granola?
- 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 Bland AI + Granola stack?
- You can investigate anything that spans both platforms — live-answer rate and conversion per campaign, decision quality and commitment frequency, 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 Bland AI and Granola 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 Bland AI and Granola and is accessed only during an active investigation.
How long does it take to set up the Bland AI + Granola 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 + Bland AI + Granola
We're accepting a select group of beta users to shape the Bland AI + Granola combination. Tell us about your stack and we'll reach out personally if you're a fit.
Explore individual integrations