Snowflake
Data warehouse
Snowflake holds the unified model that every other connected source feeds into over time, account by account, field by field. Revenue Labs reads from that model directly, keeping every source it touches tied to the right company, contact and deal record.
Website
Sales Analysis·1 cause traced, 1 upgrade proposed this month
Diagnosing this month’s conversion data… ›
TriggerSchedule - Monday, before the Sales Weekly Review opens
Deploy agentDeploying Sales Analysis agent on the month’s conversion data
Use skillLoading skills · Deal Assessment · Forecast Assessment · Win-Loss Analysis
Reference memoryReading memory · Discovery & Qualification · Sales Process · ICP
ReasoningConversion from Discovery to Proposal dropped 11 points this month, and it traces to a stakeholder-coverage gap - single-contact deals convert at half the multi-contact rate
ActionCompose evidence-backed diagnosis and upgrade candidate → surface inside Sales Weekly Review for RevOps validation
✓Diagnosed in 6 seconds ›
Surfaces inSales Weekly ReviewviaSlackTeams
Revenue LabsAPP7:15 AM
LIVE
Sales Weekly Review: Sales Team - Week ending 16 Aug 2026
WHAT CHANGED
Discovery to Proposal: 34% this month, down from 45% last month
Stakeholder coverage: single-contact deals convert at 19%, multi-contact deals convert at 38%
EXCEPTIONS
SALES ANALYSIS
Discovery to Proposal down 11 points - traces to single-contact deals converting at half the multi-contact rate. Recommend raising the stakeholder-coverage bar in Qualification.
Review EvidenceApproveDismiss
The tool alone > AI bolted on > AI-native
What changes when Snowflake feeds a system that learns
Three jobs Snowflake already does, and what each becomes when its evidence joins live company, contact and deal state.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Tables and unified model
Tables and a unified model across connected sources.
Snowflake stores tables and a unified data model across sources. Data teams still define joins, permissions, and field meaning.
Cortex Analyst answers questions over governed data.
It returns an answer from the semantic model. The answer remains in Snowflake and does not write back to maintain the CRM or deal.
Read-only live state includes the model.
Snowflake evidence is associated with the right company, contact, and deal without maintaining the source system.
SQL and warehouses
SQL runs over product, revenue, and usage data.
Warehouses run SQL over product, revenue, and usage data. A data owner still reviews the SQL and judges which result matters commercially.
Cortex generates text-to-SQL answers.
Query semantics depend on the model and semantic definitions supplied. The query result does not carry into every capability or learn from the deal outcome.
Warehouse evidence reaches the deal.
Usage change or revenue fact sits beside calls and stages, available to every capability while Snowflake remains read-only.
Cortex search and functions
Search and functions extract meaning from warehouse data.
Cortex functions and search let teams summarise, extract, and find information in Snowflake. Reviewers still choose the source and review standard.
Cortex Search retrieves relevant data.
Cortex Search returns relevant Snowflake content. The result stays in the warehouse, without a company or deal join or an outcome test.
Evidence priorities follow outcomes.
Closed outcomes are compared with warehouse signals that preceded them. The system learns the approved pattern, which moves forward without writing to Snowflake.
Runs on it
Capabilities that act on connected evidence
Sales
Sales Analysis
Active
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The review opens with causes diagnosed.
Deals, decisions and outcomes are examined against sales process and qualification logic.
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The analysis pins rate changes to causes.
It links a shift to the stage, stakeholder gap or process change.
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Planning starts from what worked.
Each proposed process, qualification or coaching change has outcome evidence.
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RevOps sees which choices caused the shift.
Recorded deal decisions show which choices moved the result.
Humans validate causal interpretation and approve changes.
Sales
Forecasting
Active
›
The forecast category stays current.
It maintains category, confidence and deal evidence between calls.
↑
The rep category is checked against evidence.
It names the gap between the submission and the deal evidence.
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The manager sees disagreements first.
Rep and system judgements open with their evidence and gap.
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The forecast explains movement and coverage.
Leaders see movement, gaps and roll-up implications with evidence.
Managers and leaders own final commitments and overrides.
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
Learn about our security →CERTIFIED + COMPLIANT WITH:
ISO 27001:2022
GDPR
CCPA
Data Protection Act 2018
The GTM teams that learn fastest will win.
Connect your stack to a system that learns.