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Drive catalog adoption

Use these workflows to make catalog data accessible to users who aren't familiar with the catalog structure, and to improve the completeness of metadata contributions across teams. Data consumers can find certified assets using plain language descriptions instead of knowing exact table names, teams can track their enrichment gaps by domain, and business data requests can be routed to the most relevant certified assets without manual intervention.

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Make sure Atlan MCP is configured before running these workflows. For setup, see Set up Atlan MCP.

Talk to your data

Most data consumers don't know what tables exist, what they're called, or who to ask. This workflow lets anyone describe what data they need in plain language and get back the right asset—certified, owned, and ready to use—without filing a ticket or knowing the catalog structure.

How it works
1
Interpret the question as a search intent (asset type, domain, concept)
semantic_search
2
Search the catalog using semantic matching
get_asset
3
Return the most relevant assets with context and ownership
resolve_metadata
Example prompt
I need to find data about customer purchase history going back at least 2 years. What tables or datasets should I use, who owns them, and are they certified?

Gamify your context

Metadata quality improves when teams can see where they stand relative to each other. This workflow generates a per-domain enrichment scorecard—showing which teams have the most undocumented assets—so you can run a targeted sprint and track progress.

How it works
1
Search for assets with missing descriptions, tags, or certifications
semantic_search
2
Summarize enrichment gaps grouped by team or domain
get_asset
3
Generate a gap report to motivate contributions
resolve_metadata
Example prompt
Generate a metadata completeness report by data domain. For each domain, show how many assets have descriptions, owners, and certifications versus those that don't. Rank domains from most complete to least complete.

Route data requests to right assets

When a business stakeholder asks for data, a raw list of tables is the wrong answer. This workflow interprets the request as a set of business concepts, finds the most relevant certified and documented assets, and returns them with ownership and access context so the requester can act immediately.

How it works
1
Interpret the request as one or more business concepts
semantic_search
2
Search for certified assets matching those concepts
get_asset
3
Return a ranked list with ownership and access information
resolve_metadata
Example prompt
A business stakeholder needs data to build a monthly churn analysis. Find the most relevant certified tables or dashboards in Atlan, show who owns them, and explain what each one contains.