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1 day ago
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Why This Session Matters
AI agents are moving fast, but scaling them into real, reliable, and cost-controlled systems is where most companies stumble.
This session is designed for leaders who want:
- Hard-won lessons from production deployments
- Architectures and frameworks that actually scale
- Practical approaches to cost, reliability, and guardrails
- An honest, no-hype view of what breaks (and how to fix it)
We regularly deliver this program to global clients as a paid workshop, now shared in this session.
Agenda Highlights
In 60 minutes, we’ll cover:
Architectures & frameworks for agentic systems
Core aspects: evaluation, memory, observability
Reliability & cost controls from enterprise rollouts
Case studies of what worked — and what didn’t
No sales pitches — just tested practices and frameworks.
What You’ll Receive
- Recording of the session
- Executive summary with key takeaways
- Access to proven architectures & lessons companies paid to access
Meet the Speakers
Rafał Łabędzki
AI Engineering Manager, deepsense.ai
As an AI Engineering Manager at deepsense.ai, Rafał leads the development of intelligent systems across various industries, including in-silico drug discovery, FMCG, manufacturing, and telecommunications, for global enterprises.
His career began in the video game industry in 2009, where he built a foundation in complex systems and user-centric design. Today, he combines deep technical expertise with academic research: Rafał holds master’s degrees in finance and management, as well as a PhD in management. His research focuses on human-AI collaboration in hybrid teams.
Outside of work, Rafał enjoys spending time with his family and helping his two sons explore the world.
Mateusz Wosiński
Machine Learning Tech Lead, deepsense.ai
Mateusz is a Lead Machine Learning Engineer specializing in building production-ready AI systems and leading agile, cross-functional teams. With deep expertise in computer vision, Generative AI, and MLOps, he focuses on transforming research prototypes into scalable, business-impacting solutions.
He has contributed to several high-impact projects, including developing an app automating operations in a major HR platform with web agentic system, creating a semi-deterministic voicebot that leverages LLMs for intent understanding and outputs contextually appropriate responses from a conversation tree or implementing an agentic system capable of autonomously resolving Jira and Git-based developer tasks using state-of-the-art LLMs.
Mateusz holds a Master’s degree in Applied Mathematics from the Technical University of Łódź and a postgraduate degree in Deep Learning from the Warsaw University of Technology.
Meet the Speakers
Rafał Łabędzki
AI Engineering Manager, deepsense.ai
As an AI Engineering Manager at deepsense.ai, Rafał leads the development of intelligent systems across various industries, including in-silico drug discovery, FMCG, manufacturing, and telecommunications, for global enterprises.
His career began in the video game industry in 2009, where he built a foundation in complex systems and user-centric design. Today, he combines deep technical expertise with academic research: Rafał holds master’s degrees in finance and management, as well as a PhD in management. His research focuses on human-AI collaboration in hybrid teams.
Outside of work, Rafał enjoys spending time with his family and helping his two sons explore the world.
