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AI Lab Workshop 1: AI Product Management
by
Fri, Oct 30, 2026
11 AM – 12:30 PM (GMT+0)
Sussex Place
LT10
26 Sussex Pl, Marylebone, London, NW1 4SA, United Kingdom
3
Registered
Details
1. AI Product Management
- Date: Friday, 30 October 2026
- Time: 11:00–12:30
- Location: London Business School — LT10
Learning objectives
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Define a clear and meaningful user problem.
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Identify users, stakeholders and existing workflows.
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Decide where AI can genuinely add value.
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Shape the opportunity into a focused MVP with clear success criteria.
Who is this for?
This workshop is primarily for LBS AI Lab participants. It is also open to anyone interested in building products with AI who did not have the opportunity to join the Lab.
Prerequisite
This is the first session in a progressive workshop series, so there are no prerequisites. However, attending this session will help participants get the most out of the workshops that follow.
About the instructor
Shreyas Parbat is an MBA candidate at London Business School and has around five years of experience working on AI and data products. He began his career at Grab as a data scientist before moving into data product and AI product management. He later worked in the founder’s office of an early-stage London startup, building AI automation for lead scoring, research and evaluation. At LBS, he has continued building AI products, including Miya, an AI coach for MBA students. As a mentor, he helps teams think through their product ideas, run focused experiments and learn from the people they are building for.
Agenda
Upcoming Events
Fri, Nov 06, 2026
11:00 AM – 12:30 PM
Sussex Place, LT5
11:00 AM – 12:30 PM
AI Lab Workshop 2 - Build with AI 1: Foundations
Date: Friday, 6 November 2026
Time: 11:00–12:30
Location: London Business School — LT5
Learning objectives:
Understand the main components of an AI product, including models, data, APIs and interfaces.
Explore how prompts, retrieval, workflows and agents are used.
Understand how the different components connect and where technical problems can arise.
Map the technical structure and likely build path for your own product.
Who is this for?
This workshop is primarily for LBS AI Lab participants. It is also open to anyone interested in learning how AI products are built.
Prerequisite:
This is the second session in a progressive series. Attending AI Product Management first is strongly recommended, as this workshop builds on the problem and MVP defined in that session.
About the instructor:
Alessandro Condorelli is an AI Developer at London Business School, where he builds agentic AI systems and applies emerging technologies to real business problems. His background spans AI, analytics, finance and entrepreneurship, with experience building solutions for organisations including LBS and Harrods. He helps teams turn early ideas into practical solutions, particularly around AI, data and product development.
Where
Sussex Place
LT10
26 Sussex Pl, Marylebone, London, NW1 4SA, United Kingdom