AI Evenings LDN: Building Agentic Systems with Google
Exclusive Event
AI Evenings LDN:Building Agentic Systems with Google
Alvaro Silva-Santisteban, AI Solution Lead at Google, shares a practical view of building agentic systems, from choosing the right architecture to implementing trust, governance, and human-in-the-loop safeguards, along with a live demo.
AI agents are quickly moving from experimentation to real-world deployment, forcing teams to rethink how AI systems are designed, governed, and scaled. Drawing on real examples and live workflows, this session explores how organizations can move beyond demos to deploy agents that deliver reliable, business-ready impact.
Alvaro Silva-Santisteban
AI Solution Lead
Alvaro Silva-Santisteban is an AI Solution Lead at Google, where he drives the strategic application of artificial intelligence to solve complex business and technical challenges. He focuses on building scalable, responsible AI solutions that deliver measurable value and support organisations in leveraging advanced technologies with confidence.
Exclusive Event
Event Overview
As AI agents move into production, teams need systems that can reason, act, and be trusted. In this session, Alvaro Silva-Santisteban shares how agentic systems are designed in practice, from architecture to governance and deployment.
01
Anatomy of an Agent
A practical breakdown of what actually makes an AI agent work. Alvaro deconstructs the core stack, the Brain (models), Memory (sessions and long-term context), and Hands (function calling and tools), and how these pieces come together to enable reasoning and action.
02
Choosing the Right Agent Architecture
Not every problem needs the same kind of agent. Learn how to distinguish between retrieval-based agents and action-oriented agents, and how to align each approach to real business needs without over-engineering solutions.
03
Governance, Trust, and Agentic Workflows
Agentic systems introduce new risks alongside new capabilities. This section covers mitigating hallucinations, implementing human-in-the-loop safeguards, and defining the role of business users, plus a walkthrough of agentic workflows using tools like Deep Research agents, NotebookLM, and AI Studio.
Details of the Evening
What's Included
Gourmet Light Refreshments – Enjoy a curated selection of artisanal bites and small plates, perfect for connecting with colleagues.
Settle in for easy conversation and good company in a warm, welcoming space. With a thoughtful selection of beer and wine on hand, it’s the perfect backdrop for winding down or catching up.
Have dietary restrictions?
To ensure we can accommodate your dietary needs, please inform us at least 48 hours before the workshop start date.
Mark Nadolny breaks down how Team Canada monitored live performance data, social trends, and fan engagement as events unfolded, surfacing breakout athletes, unexpected storylines, and emotional peaks that shaped real-time decisions.
6:00 PM
-
8:00 PM EDT
482 Front St W, 2nd Floor, Toronto, ON
$35
Mark Nadolny
Senior Manager, Digital Marketing & Data
Discussion Topics:
Real-Time Insight During the Games
Turning Live Data into Immediate Marketing Action
Measuring Impact in a Live, High-Pressure Environment
Simon shares how working with generative AI and agentic systems in retail is reshaping product craft, decision-making, and the designer’s role in shaping the future.
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Join us for an evening with Gabe Lekorenos, Senior Client Partner at Strava, as he explores how brands can create partnerships that customers genuinely care about.
Join us for an evening with Andrii Olefirenko, Senior Software Engineer at Meta, as he explores what it truly takes to move AI from prototype to production.
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