Sherlock Calls
for Amazon Connect + PostgreSQL
Amazon Connect routes customer contacts through AWS cloud infrastructure. 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 Amazon Connect, 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 Amazon Connect nor PostgreSQL can answer alone. Amazon Connect shows interaction volume — not its downstream business impact. 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
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Code changes or webhooks required
The Investigation Gap
What's invisible when you use Amazon Connect + PostgreSQL without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Amazon Connect interaction outcomes are disconnected from PostgreSQL application state
Amazon Connect logs what happened in the contact center. PostgreSQL holds the application records the customer was calling about. Whether the Amazon Connect interaction resolved the PostgreSQL issue — and updated the right record — is a question neither platform can answer alone.
PostgreSQL application errors generate Amazon Connect contact volume that goes unattributed
When PostgreSQL has a data error or an edge case that produces a bad customer experience, the resulting Amazon Connect contact volume is logged without the PostgreSQL root cause. Engineering and operations work from different timelines on the same underlying problem.
Post-interaction Amazon Connect QA has no PostgreSQL business impact context
Amazon Connect 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 Amazon Connect + PostgreSQL
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which Amazon Connect interaction topics correlate with specific PostgreSQL application state changes?”
- SC“Show me Amazon Connect contact volume spikes and the PostgreSQL events that triggered them”
- SC“Which PostgreSQL records are most frequently referenced in Amazon Connect interactions this week?”
- SC“Find customers with high Amazon Connect contact frequency and their corresponding PostgreSQL account status”
- SC“What PostgreSQL application errors are generating the most Amazon Connect support interactions?”
Beta Setup
Connect Amazon Connect + PostgreSQL to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect Amazon Connect
Add your Amazon Connect credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Amazon Connect 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 Amazon Connect + 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 + Amazon Connect + PostgreSQL
How does Sherlock Calls connect Amazon Connect and PostgreSQL data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Amazon Connect, 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 Amazon Connect 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 Amazon Connect + PostgreSQL stack?
- You can investigate anything that spans both platforms — queue wait time and agent handle time, 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 Amazon Connect 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 Amazon Connect and PostgreSQL and is accessed only during an active investigation.
How long does it take to set up the Amazon Connect + 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 + Amazon Connect + PostgreSQL
We're accepting a select group of beta users to shape the Amazon Connect + PostgreSQL combination. Tell us about your stack and we'll reach out personally if you're a fit.
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