Neotask automates your Atlan data governance - cataloging assets, tracing lineage, and enforcing quality rules so your data team focuses on insights instead of housekeeping.
Data discovery happens through conversation - your agent searches assets semantically, resolves metadata, and traces lineage across your entire data estate
Governance stays enforced automatically - tags get applied, announcements get posted, and quality rules get scheduled without manual catalog maintenance
Your data catalog grows itself - glossary terms, domains, and data products get created from patterns your agent discovers in your existing assets
What You Can Do
Your AI agent turns Atlan into a self-maintaining data catalog. It discovers assets, enforces governance, builds quality rules, and keeps your data estate organized - all running autonomously.
Intelligent Discovery
Semantic search finds assets by meaning, not just name. Your agent searches across tables, dashboards, pipelines, and reports. It resolves metadata, counts assets by type, and traverses lineage to show you where data comes from and where it goes.
Governance Automation
Your agent applies Atlan tags for classification, manages announcements for data changes, and updates custom metadata fields. Governance policies stay enforced without someone manually updating the catalog after every change.
Quality Rule Management
Create, update, schedule, and delete data quality rules through conversation. Your agent builds rules from patterns it detects, schedules them to run on your cadence, and reports violations so your team can fix issues at the source.
Catalog Building
Your agent creates glossary terms, domains, and data products. It structures your catalog's taxonomy based on your actual data assets rather than top-down guesswork.
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Search for all tables related to 'customer revenue' across our data catalog"
"Trace the lineage for the 'monthly_revenue' dashboard - where does the data originate?"
"Tag all tables in the 'finance' schema as 'PII-sensitive' and 'SOX-compliant'"
"Create a data quality rule that checks for null values in the 'email' column of every customer table"
"Add a glossary term for 'ARR' with its definition and link it to the relevant metric tables"
"What assets were added to the catalog this week? Summarize by type"
"Create a data product called 'Customer 360' that includes all customer-related assets"
"Schedule our quality rules to run every morning at 6 AM"
Pro Tips
Schedule weekly catalog health checks - your agent reviews new assets, flags ungoverned tables, and suggests tags
Use approval gates for tag application in production catalogs - review governance changes before they take effect
Multi-agent teams work well for data platform teams: one agent handles discovery, another manages governance, a third builds quality rules
Lineage traversal helps you understand blast radius before making schema changes
Combine Atlan with your CI/CD integration so schema changes automatically trigger catalog updates and quality rule reviews
Multiple workspaces and capacity for larger teams.
Works Well With
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