Sherlock Calls
for Cognigy + Stripe
Cognigy automates contact center conversations at enterprise scale. Stripe processes every payment, subscription, and billing event for your product. 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
- 1
Sherlock Calls connects to Cognigy, Stripe 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 Cognigy nor Stripe can answer alone. Cognigy shows automation metrics — not their impact on CRM pipeline or revenue. Stripe shows payment events — not which customer calls preceded or caused each one. 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 + payments query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Cognigy + Stripe without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Cognigy and Stripe each hold half the picture
Cognigy shows automation metrics — not their impact on CRM pipeline or revenue. Stripe shows payment events — not which customer calls preceded or caused each one. 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
Cognigy tracks its own interaction processing cost. Stripe tracks its own transaction volume and processing fees. 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 Cognigy and Stripe, 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 Cognigy + Stripe
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“What's the combined activity across Cognigy and Stripe in the last 7 days?”
- SC“Show me events that touched both Cognigy and Stripe in the last 24 hours”
- SC“What's our blended cost per outcome across Cognigy and Stripe this month?”
- SC“Which Cognigy sessions had issues that correlate with Stripe events this week?”
- SC“Compare performance metrics across Cognigy and Stripe for the past 30 days”
Beta Setup
Connect Cognigy + Stripe to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
- 1
Connect Cognigy
Add your Cognigy credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Cognigy configuration required.
- 2
Connect Stripe
Add your Stripe credentials. Sherlock indexes all payment events, charges, subscription state, and refunds automatically.
- 3
Ask your first cross-provider question. The game is afoot.
Type any question about your combined Cognigy + Stripe 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 + Cognigy + Stripe
How does Sherlock Calls connect Cognigy and Stripe data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Cognigy, Stripe 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 Cognigy and Stripe?
- 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 Cognigy + Stripe stack?
- You can investigate anything that spans both platforms — automation rate and escalation pattern, payment success rate and MRR movement, 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 Cognigy and Stripe 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 Cognigy and Stripe and is accessed only during an active investigation.
How long does it take to set up the Cognigy + Stripe 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 + Cognigy + Stripe
We're accepting a select group of beta users to shape the Cognigy + Stripe combination. Tell us about your stack and we'll reach out personally if you're a fit.
Explore individual integrations