Sherlock Calls
for Genesys Cloud + PostgreSQL
Genesys Cloud manages enterprise contact center interactions and routing. PostgreSQL stores your application's core operational data and business records. 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 Genesys Cloud, PostgreSQL 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 Genesys Cloud nor PostgreSQL can answer alone. Genesys Cloud shows queue KPIs — not how they connect to revenue or churn. PostgreSQL holds every business record your app has ever created — but turning that into an answer requires a developer to write the query. 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 contact center + database query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Genesys Cloud + PostgreSQL without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Genesys Cloud interaction outcomes are disconnected from PostgreSQL application state
Genesys Cloud logs what happened in the contact center. PostgreSQL holds the application records the customer was calling about. Whether the Genesys Cloud interaction resolved the PostgreSQL issue — and updated the right record — is a question neither platform can answer alone.
PostgreSQL application errors generate Genesys Cloud contact volume that goes unattributed
When PostgreSQL has a data error or an edge case that produces a bad customer experience, the resulting Genesys Cloud contact volume is logged without the PostgreSQL root cause. Engineering and operations work from different timelines on the same underlying problem.
Post-interaction Genesys Cloud QA has no PostgreSQL business impact context
Genesys Cloud measures handle time, CSAT, and resolution rate. PostgreSQL holds the downstream business outcome — did the PostgreSQL record get updated correctly, did the customer actually churn? Without joining both, QA optimises the conversation, not the business result.
Cross-Provider Questions
What teams ask Sherlock about Genesys Cloud + PostgreSQL
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which Genesys Cloud interaction topics correlate with specific PostgreSQL application state changes?”
- SC“Show me Genesys Cloud contact volume spikes and the PostgreSQL events that triggered them”
- SC“Which PostgreSQL records are most frequently referenced in Genesys Cloud interactions this week?”
- SC“Find customers with high Genesys Cloud contact frequency and their corresponding PostgreSQL account status”
- SC“What PostgreSQL application errors are generating the most Genesys Cloud support interactions?”
Beta Setup
Connect Genesys Cloud + PostgreSQL to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect Genesys Cloud
Add your Genesys Cloud credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Genesys Cloud configuration required.
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Connect PostgreSQL
Add your PostgreSQL credentials. Sherlock indexes all relational tables, business records, operational data, and application state automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Genesys Cloud + PostgreSQL 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 + Genesys Cloud + PostgreSQL
How does Sherlock Calls connect Genesys Cloud and PostgreSQL data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Genesys Cloud, PostgreSQL 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 Genesys Cloud and PostgreSQL?
- 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 Genesys Cloud + PostgreSQL stack?
- You can investigate anything that spans both platforms — service level and first-call resolution rate, table row counts and query latency, 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 Genesys Cloud and PostgreSQL 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 Genesys Cloud and PostgreSQL and is accessed only during an active investigation.
How long does it take to set up the Genesys Cloud + PostgreSQL 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 + Genesys Cloud + PostgreSQL
We're accepting a select group of beta users to shape the Genesys Cloud + PostgreSQL combination. Tell us about your stack and we'll reach out personally if you're a fit.
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