< Speaker / Facilitator >

Zsuzsanna Tamas

Amazon, CoachHub, DKB Code Factory, Lesara, Runtastic, GlobeAir

Connect in LinkedIn

Zsuzsanna Tamás is a Senior AI Product Manager at Amazon with 10+ years of experience building recommender systems, AI platforms, and matching algorithms. She’s led product teams at Amazon, CoachHub, DKB, and Adidas Runtastic, and currently drives personalization initiatives at Amazon Music for over 80 million customers. Known for bridging strategy and execution, Zsuzsanna helps teams cut through complexity and adopt AI in ways that are practical, customer- focused, and impactful.

Building Agentic AI Applications

16.09

The Social Hub

< About >

Learn to design AI agents that work and make the product decisions that determine whether they stay reliable as they scale. This hands-on workshop takes you from designing a single agent to reasoning about what happens when your system needs a second one: what breaks, what to monitor, and who's accountable. Through a single evolving product scenario, facilitated discussions, and hands-on exercises, you'll build practical frameworks for the decisions PMs face when moving from AI-augmented features to agentic systems.

Best for

  • Experienced Product Managers building AI-enabled products and customer experiences

  • PMs who want to upskill from foundational AI concepts to applied agent design and multi-agent thinking

  • Product Managers working in environments where discovery, decision-making, and execution increasingly happen through AI assistants and automated workflows

  • PMs looking to build confidence and practical judgment in agentic product development, from a single reliable agent to coordinated systems

Morning session

The morning establishes what makes agentic AI a different product paradigm, not AI that assists, but AI that acts. You'll build a clear mental model for how agents perceive, reason, remember, and take action, and develop the practical LLM literacy needed to make informed product and architecture decisions. The focus then shifts to the design decisions that make or break an agent's reliability: how to scope capabilities, where to place constraints, when to keep humans in the loop, and how to plan for failure in systems that can confidently do the wrong thing. You'll apply these decisions to a realistic product scenario that evolves throughout the day.

< Key learnings >

  • Understand the shift from AI as a feature to AI as an actor: what makes a system genuinely agentic, and why it changes the product paradigm

  • Build practical literacy in agent anatomy: how LLMs, memory, tools, retrieval, and APIs fit together

  • Apply decision frameworks for scoping agent capabilities, designing constraints, and determining where human-in-the-loop or human-on-the-loop oversight is essential

  • Design for reliability and failure: guardrails, fallback mechanisms, hallucination management, and what it means to trust an agent with real actions

  • Establish an evaluation and observability mindset from day one: how to know whether your agent is working, and how to debug it when it isn't

  • Recognise the moment when a single agent is no longer enough and what questions to ask before adding more

Morning session

The morning establishes what makes agentic AI a different product paradigm, not AI that assists, but AI that acts. You'll build a clear mental model for how agents perceive, reason, remember, and take action, and develop the practical LLM literacy needed to make informed product and architecture decisions. The focus then shifts to the design decisions that make or break an agent's reliability: how to scope capabilities, where to place constraints, when to keep humans in the loop, and how to plan for failure in systems that can confidently do the wrong thing. You'll apply these decisions to a realistic product scenario that evolves throughout the day.

< Key learnings >

  • Understand the shift from AI as a feature to AI as an actor: what makes a system genuinely agentic, and why it changes the product paradigm

  • Build practical literacy in agent anatomy: how LLMs, memory, tools, retrieval, and APIs fit together

  • Apply decision frameworks for scoping agent capabilities, designing constraints, and determining where human-in-the-loop or human-on-the-loop oversight is essential

  • Design for reliability and failure: guardrails, fallback mechanisms, hallucination management, and what it means to trust an agent with real actions

  • Establish an evaluation and observability mindset from day one: how to know whether your agent is working, and how to debug it when it isn't

  • Recognise the moment when a single agent is no longer enough and what questions to ask before adding more

Afternoon session

The afternoon picks up where success creates new problems. Your agent is working but scope is growing, reliability is under pressure, and a single agent can't cover everything. When do you extend versus split? And once you have multiple agents, what do you need to stay in control? You'll work through these decisions using the same evolving scenario, and close with a forward look at the Agentic Mesh, a conceptual framework for how multiple agents are registered, discovered, monitored, and governed within an organisation.

< Key learnings >

  • Apply decision frameworks for when to extend an existing agent versus introduce a second specialized one

  • Understand the core challenges of multi-agent systems: observability, coordination, accountability, and governance across agent boundaries

  • Explore collaboration strategies and tradeoffs for how agents hand off work, share context, and stay aligned

  • Build a forward-looking mental model with the Agentic Mesh: registries, discovery, routing, and interoperability and why the design choices you make today shape how well your systems scale tomorrow

Afternoon session

The afternoon picks up where success creates new problems. Your agent is working but scope is growing, reliability is under pressure, and a single agent can't cover everything. When do you extend versus split? And once you have multiple agents, what do you need to stay in control? You'll work through these decisions using the same evolving scenario, and close with a forward look at the Agentic Mesh, a conceptual framework for how multiple agents are registered, discovered, monitored, and governed within an organisation.

< Key learnings >

  • Apply decision frameworks for when to extend an existing agent versus introduce a second specialized one

  • Understand the core challenges of multi-agent systems: observability, coordination, accountability, and governance across agent boundaries

  • Explore collaboration strategies and tradeoffs for how agents hand off work, share context, and stay aligned

  • Build a forward-looking mental model with the Agentic Mesh: registries, discovery, routing, and interoperability and why the design choices you make today shape how well your systems scale tomorrow

The Business Case for Agents: Where to Invest

17.09

CIC Berlin

< About >

Most teams are choosing agentic use cases based on technical excitement or what's easy to demo — not on a clear-eyed economic assessment. This roundtable explores how product leaders are actually evaluating where to invest: what agents really cost, when they pay off, and when a simpler approach is the smarter bet.

< Key learnings >

  • How to identify high-value use cases versus ones that look exciting but don't survive contact with the economics

  • The opportunity cost question: what you're not building when you commit to an agent

< Get Speaker's vibes >

Speaker's welcome

< Tickets >

Join the

Product

Week

Top Tickets

Online

Sept 17

Conf Summer Bird

How others teams are actually handling it: → Distribution and defensibility changed. What is working now. → AI in the product operating model: team ops and building for faster outcomes. → Building got easy, prioritising got hard. How teams decide now.

50 Available at this price

After €499

€399

Inc. VAT

Show perks

Sept 15/16 + 17

Bundle 2 Day

✓ Conference Day (Sept 17): how teams are really handling AI, reorgs and prioritisation Plus one working day. Pick your outcome: → Craft/AI Labs (Sept 16): get sharper at the calls. One practitioner, one outcome, a room of 20. → Leaders Lab (Sept 15): strategy and team structure for the AI era with Ravi Mehta (Reforge). Max 60 leaders, leave with a 90-day plan.

Get your Bundle

30 Left

from

€999

Inc. VAT

Show perks

Sept 15-17

Bundle 3 Day

For senior leaders going deep at every level: ✓ Your company (Sept 15): strategy and team structure with Ravi Mehta (Reforge). Leave with a 90-day plan. ✓ Yourself (Sept 16): sharpen your own calls. One practitioner, one outcome. ✓ All levels (Sept 17): what other teams are doing, ready to implement tomorrow wherever you sit.

All three days

Save €200

€1,499

Inc. VAT

Show perks

Accepted payment methods

Credit Card

Pay directly, get reimbursed.

Bank Transfer

Request invoice, forward to finance.

Top Tickets

Online

Sept 17

Conf Summer Bird

How others teams are actually handling it: → Distribution and defensibility changed. What is working now. → AI in the product operating model: team ops and building for faster outcomes. → Building got easy, prioritising got hard. How teams decide now.

50 Available at this price

After €499

€399

Inc. VAT

Show perks

Sept 15/16 + 17

Bundle 2 Day

✓ Conference Day (Sept 17): how teams are really handling AI, reorgs and prioritisation Plus one working day. Pick your outcome: → Craft/AI Labs (Sept 16): get sharper at the calls. One practitioner, one outcome, a room of 20. → Leaders Lab (Sept 15): strategy and team structure for the AI era with Ravi Mehta (Reforge). Max 60 leaders, leave with a 90-day plan.

Get your Bundle

30 Left

from

€999

Inc. VAT

Show perks

Sept 15-17

Bundle 3 Day

For senior leaders going deep at every level: ✓ Your company (Sept 15): strategy and team structure with Ravi Mehta (Reforge). Leave with a 90-day plan. ✓ Yourself (Sept 16): sharpen your own calls. One practitioner, one outcome. ✓ All levels (Sept 17): what other teams are doing, ready to implement tomorrow wherever you sit.

All three days

Save €200

€1,499

Inc. VAT

Show perks

Accepted payment methods

Credit Card

Pay directly, get reimbursed.

Bank Transfer

Request invoice, forward to finance.

Top Tickets

Online

Sept 17

Conf Summer Bird

How others teams are actually handling it: → Distribution and defensibility changed. What is working now. → AI in the product operating model: team ops and building for faster outcomes. → Building got easy, prioritising got hard. How teams decide now.

50 Available at this price

After €499

€399

Inc. VAT

Show perks

Sept 15/16 + 17

Bundle 2 Day

✓ Conference Day (Sept 17): how teams are really handling AI, reorgs and prioritisation Plus one working day. Pick your outcome: → Craft/AI Labs (Sept 16): get sharper at the calls. One practitioner, one outcome, a room of 20. → Leaders Lab (Sept 15): strategy and team structure for the AI era with Ravi Mehta (Reforge). Max 60 leaders, leave with a 90-day plan.

Get your Bundle

30 Left

from

€999

Inc. VAT

Show perks

Sept 15-17

Bundle 3 Day

For senior leaders going deep at every level: ✓ Your company (Sept 15): strategy and team structure with Ravi Mehta (Reforge). Leave with a 90-day plan. ✓ Yourself (Sept 16): sharpen your own calls. One practitioner, one outcome. ✓ All levels (Sept 17): what other teams are doing, ready to implement tomorrow wherever you sit.

All three days

Save €200

€1,499

Inc. VAT

Show perks

Accepted payment methods

Credit Card

Pay directly, get reimbursed.

Bank Transfer

Request invoice, forward to finance.

Top Tickets

Online

Sept 17

Conf Summer Bird

How others teams are actually handling it: → Distribution and defensibility changed. What is working now. → AI in the product operating model: team ops and building for faster outcomes. → Building got easy, prioritising got hard. How teams decide now.

50 Available at this price

After €499

€399

Inc. VAT

Show perks

Sept 15/16 + 17

Bundle 2 Day

✓ Conference Day (Sept 17): how teams are really handling AI, reorgs and prioritisation Plus one working day. Pick your outcome: → Craft/AI Labs (Sept 16): get sharper at the calls. One practitioner, one outcome, a room of 20. → Leaders Lab (Sept 15): strategy and team structure for the AI era with Ravi Mehta (Reforge). Max 60 leaders, leave with a 90-day plan.

Get your Bundle

30 Left

from

€999

Inc. VAT

Show perks

Sept 15-17

Bundle 3 Day

For senior leaders going deep at every level: ✓ Your company (Sept 15): strategy and team structure with Ravi Mehta (Reforge). Leave with a 90-day plan. ✓ Yourself (Sept 16): sharpen your own calls. One practitioner, one outcome. ✓ All levels (Sept 17): what other teams are doing, ready to implement tomorrow wherever you sit.

All three days

Save €200

€1,499

Inc. VAT

Show perks

Accepted payment methods

Credit Card

Pay directly, get reimbursed.

Bank Transfer

Request invoice, forward to finance.

<Conference>

Checkout

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Brand Asset

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<Conference>

Checkout

Agenda

Lineup

Week Overview

Conference Day

Leaders Day

LABs Day

Location/Book Hotel

FAQ

<Community>

Next event

Newsletter

EU Conferences

< Newsletter >

Join our newsletter to stay up
to date on features and releases.

Imprint

Privacy Policy

Terms of Service

Brand Asset

About us

© 2026 Productlab

Ask your AI

<Conference>

Checkout

Agenda

Lineup

Week Overview

Conference Day

Leaders Day

LABs Day

Location/Hotel

FAQ

<Community>

Next event

Newsletter

EU Conferences

< Newsletter >

Join our newsletter to stay up
to date on features and releases.

© 2026 Productlab

Ask your AI

Imprint

Privacy Policy

Terms of Service

Brand Asset

About us