Stop Pulling Data.
Start Using It.
Artifacts generate living QBRs, decks, spreadsheets, and data apps directly from your trusted metrics. No exports. No copy-paste. No rework.
Your job doesn't end at the query
Ok, so you've pulled the data. Now what? Critical business workflows still rely on:
Exporting dashboards into slides
Rebuilding the same weekly reports
Reconciling metric definitions across teams
Last-minute board deck revisions
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Your teams spend hours assembling information that already exists. Artifacts eliminate that layer of operational drag.
Each Artifact uses your approved metric definitions and business logic. No disconnected exports. No inconsistent numbers. No duplicated effort.
From Analysis to Asset in Minutes
Artifacts are living documents generated directly from your governed data. Zoë builds complete:
Board and executive decks
Weekly and monthly business reviews
Investor updates
Spreadsheets and financial models
Interactive dashboards and data apps
Enterprise Governance. AI Execution.
Artifacts sit on top of your governed semantic layer. Every number:
References approved metric definitions
Respects existing filters and business logic
Remains fully auditable
Can be refreshed or scheduled automatically
Your weekly business review can now build itself. Your board deck goes from days to hours.
When your data changes, your deliverables stay accurate.
Live Deliverables, Not Static Exports
Now, your decks, models, and documents can refresh like a dashboard. Artifacts stay connected to:
Refresh anytime
Schedule automated delivery
Push updates to Slack or email
Drill back into underlying analysis
Reduce Reporting Time. Increase Decision Velocity.
Artifacts let you build documents in minutes instead of hours. Used by:
Executive teams
RevOps
Product
Finance
Marketing
Instead of spending four hours building a deck that takes four minutes to read, your team focuses on acting on the insights. This bridges the gap between analysis and execution.
Stop Pulling Data. Start Using It.
Artifacts are the most important evolution of the analytics stack in the last decade. If your organization already invested in governed data, this is how you operationalize it.