The most underrated dataset in enterprise AI is your org chart | Rippling's Albert Strasheim
Notes de l’épisode
AI agents can't transform an org they can't see. Albert Strasheim, CTO at Rippling, joins Andrew Zigler to explain why agentic transformation starts with the employee graph, the system of record for who does what. He shares how Rippling assembles teams and primitives across silos, why evals are the new unit test, and how compensating controls keep AI output from turning into slop. When agents do the work, you still have to know who, or what, shipped it. LinearB attributes the work, whether it came from humans, AI assistants, or autonomous agents.
Register today: The Engineering Productivity Gap live workshop on July 30
Follow the show:
- Subscribe to our Substack
- Follow us on LinkedIn
- Subscribe to our YouTube Channel
- Leave us a Review
Follow the hosts:
Follow today's guest:
- Rippling: Explore the workforce management platform at rippling.com
- Introducing Rippling Data Cloud: AI-powered BI that understands your workforce
- Follow Albert: LinkedIn
OFFERS
- Start Free Trial: Get started with LinearB's AI productivity platform for free.
- Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
- AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
- AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
- AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
- MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.