Metric definitions had splintered; six analysts handled all requests. A Claude agent now routes 30+ users to consistent, SQL-backed answers.
A mental health platform serving millions of members worldwide, running 13 domain data schemas across a fragmented mix of dbt, Prefect, and custom Docker containers with no unified governance boundary.
Definitions for core business metrics like registrations, sign-ups, and subscriptions had diverged across business units and engineering teams, each...
“AI will not rescue an ambiguous definition. It will improvise one for each person who asks. We built Aladdin and Genie Agents on agreed definitions, so every answer matches.”
Mental wellness platform offering meditation, therapy, coaching, and sleep tools.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Headspace's Self-service analytics is part of this use case:
Related implementations across industries and use cases
All data questions funneled through one team—anything that wouldn't make the queue went unexplored. Now teams self-serve through AI agents.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Every data question routed through engineers. Now 800+ users — 70% non-technical — query a 200-country travel dataset in plain language.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Metric definitions had splintered; six analysts handled all requests. A Claude agent now routes 30+ users to consistent, SQL-backed answers.
A mental health platform serving millions of members worldwide, running 13 domain data schemas across a fragmented mix of dbt, Prefect, and custom Docker containers with no unified governance boundary.
Definitions for core business metrics like registrations, sign-ups, and subscriptions had diverged across business units and engineering teams, each...
“AI will not rescue an ambiguous definition. It will improvise one for each person who asks. We built Aladdin and Genie Agents on agreed definitions, so every answer matches.”
Mental wellness platform offering meditation, therapy, coaching, and sleep tools.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Headspace's Self-service analytics is part of this use case:
Related implementations across industries and use cases
All data questions funneled through one team—anything that wouldn't make the queue went unexplored. Now teams self-serve through AI agents.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Every data question routed through engineers. Now 800+ users — 70% non-technical — query a 200-country travel dataset in plain language.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
Integration projects stretched over months, waiting on scarce specialists at each stage. Axon now guides teams through every step in place.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.