Webinars
Skills, Agents, and Workflows: The Architecture Behind Reliable, Governed Agentic AI
Venue
Zoom (link will be provided)
Available worldwide
Duration
30 minutes
Build production-ready AI agents 🦾
Everyone is building AI agents. Far fewer are building ones that hold up in production. The difference usually comes down to one thing: architecture.
Join Peter Fedorocko and Rosta Striz for a practical, architecture-first session designed for data and BI teams who are ready to build agentic analytics that scale without sacrificing governance or control.
What you'll learn:
- Why separating MCP tools, skills, and agents is the foundation of any maintainable agentic system
- How to design skills as reusable, opinionated recipes that work in both deterministic workflows and dynamic assistant interactions
- What belongs in an agent and what doesn't
- How governance fits into the architecture from the start, not as an afterthought
If you're done experimenting and ready to build something that lasts, this session is for you.
Meet the speakers
Peter is Field CTO at GoodData, with deep expertise in AI, analytics, and startup leadership. He previously co-founded Understand Labs and has a background as a founder and CTO in analytics-focused technology ventures. At GoodData, he helps accelerate the company’s AI-driven vision, working closely with engineering and product teams to bring agentic and explainable analytics experiences to market.
Rosta Striz is a Principal Product Manager at GoodData, working at the intersection of AI and business intelligence. He focuses on turning complex AI capabilities into practical tools that help companies make better, data-driven decisions. With a background in cloud engineering and developer platforms, he brings a hands-on perspective to building scalable, intelligent products.
Does GoodData look like the better fit?
Get a demo now and see for yourself. It’s commitment-free.
Request a demo Live demo + Q&A
