Sherlock Calls
for Cognigy + Datadog
Cognigy automates contact center conversations at enterprise scale. Datadog monitors every layer of your infrastructure with metrics and traces. 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 Cognigy, Datadog 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 Datadog can answer alone. Cognigy shows automation metrics — not their impact on CRM pipeline or revenue. Datadog shows infrastructure events — not how they map to call failures or customer impact. 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 + observability query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Cognigy + Datadog without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Cognigy and Datadog each hold half the picture
Cognigy shows automation metrics — not their impact on CRM pipeline or revenue. Datadog shows infrastructure events — not how they map to call failures or customer impact. 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. Datadog tracks its own infrastructure operational spend. 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 Datadog, 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 + Datadog
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“What's the combined activity across Cognigy and Datadog in the last 7 days?”
- SC“Show me events that touched both Cognigy and Datadog in the last 24 hours”
- SC“What's our blended cost per outcome across Cognigy and Datadog this month?”
- SC“Which Cognigy sessions had issues that correlate with Datadog events this week?”
- SC“Compare performance metrics across Cognigy and Datadog for the past 30 days”
Beta Setup
Connect Cognigy + Datadog to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect Cognigy
Add your Cognigy credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Cognigy configuration required.
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Connect Datadog
Add your Datadog credentials. Sherlock indexes all infrastructure metrics, APM traces, logs, and alert events automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Cognigy + Datadog 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 + Datadog
How does Sherlock Calls connect Cognigy and Datadog data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Cognigy, Datadog 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 Datadog?
- 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 + Datadog stack?
- You can investigate anything that spans both platforms — automation rate and escalation pattern, alert rate, latency, and service health, 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 Datadog 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 Datadog and is accessed only during an active investigation.
How long does it take to set up the Cognigy + Datadog 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 + Datadog
We're accepting a select group of beta users to shape the Cognigy + Datadog combination. Tell us about your stack and we'll reach out personally if you're a fit.
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