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Three Stages of AI Product Development: Real-World Case Studies

  • 24 Feb 2026
  • 5:30 PM - 8:00 PM
  • In-person @BrainStation (482 Front St W 2nd floor, Toronto, ON M5V 0W1)

Registration

  • Attend the event in-person.
  • Attend the event in person.
  • This ticket type contains a $10 donation to the TPMA in addition to your $15 event ticket. Your donation helps us make TPMA free to join and free for virtual attendees. It also supports development of new programs to help our members level up their product craft!
  • Attend online but also donate $10 to the TPMA to fund future events, mentorship, our bursary program, and much more.
  • Free in-person event registration for our volunteers, speakers, and board members

Register


Event Details

There is a lot of discussion happening right now around how PMs should be using AI in their day-to-day jobs, but very little specifics around what we need to be thinking about when it comes to actually BUILDING AI products and features. What do product managers need to keep in mind as they evaluate opportunities, prioritize, start building and then test towards a release? This evening is going to give folks real insight into what actually happens on the pathway to releasing an AI feature. Three product leaders. Three keynotes. Three stages of building AI features—from strategy to shipped product. 

This isn't a panel discussion. These are actionable presentations with real world examples, live demos, and soup-to-nuts breakdowns of how AI gets built and shipped. 


What You'll Learn

Stage 1: Strategy & Prioritization

Jenna Stavros, VP of Product at Dig Insights


How do you identify AI opportunities that actually matter? Jenna walks through the process of assessing AI use cases, aligning them to organizational strategy, and prioritizing based on real value. You'll learn how to select the right AI opportunity to drive forward—and avoid the noise. 


Stage 2: Implementation

Sagar Giri, AI Product Consultant


What does it take to go from use case idea to implemented concept? Sagar breaks down the fundamental architecture and infrastructure decisions that make or break AI delivery. This includes a live demo showing how AI features get built in practice. Sagar has shipped AI products to 220M+ users, built an AI clinical assistant for NHS, and processes 80M+ posts daily through content moderation infrastructure. 


Stage 3: Testing & Validation

Matthew Tobiasz, General Partner & Co-Founder at Sightglass 


How do you know your AI feature actually works? Matthew shares real examples of testing AI implementations soup-to-nuts to ensure they perform as required before reaching users. Learn the validation approaches to catch issues early and build confidence in your AI features. 


Each speaker will define key terms, explain specific elements, and clarify what the product manager's role is in their stage of the process. 



Meet Your Speakers


Jenna Stavros - VP of Product, Dig Insights

A customer-oriented product leader who thrives in problem-driven environments, Jenna brings empathy and curiosity to every challenge. She's passionate about supporting aspiring PMs and helping teams navigate complex product decisions. 

Sagar Giri - Product, Managed Services, Synacor 
With 15+ years of experience and 8 years focused specifically on Data and AI, Sagar builds AI products that ship and scale. He's hands-on with GenAI, RAG architectures, and ML infrastructure. His track record includes shipping an AI clinical assistant for NHS, building content moderation infrastructure processing 80M+ posts daily, and scaling conversational AI to 220M users. 

Matthew Tobiasz - General Partner & Co-Founder @ Sightglass
Matthew thrives at the intersection of technology, strategy and product design. With a technical background as a software developer rooted in human-computer interaction, he spent his early career at ThoughtWorks leading delivery teams across industries—from financial services to biotech, from startups to Fortune 500s. He helps teams reimagine product capabilities into customer-focused experiences. 


Who Should Attend

  • Product managers exploring AI implementation

  • Product leaders building AI roadmaps

  • Founders and entrepreneurs integrating AI into their platforms

  • Anyone moving from AI experimentation to production 


Event Tickets

‍This event is open to everyone! TPMA is now free to join, but and membership is required to attend. 

Tickets cost $15 for regular TPMA Members and $11.50 for Community-Builder level members. Update your membership here.

Your ticket includes a drink and a selection of light snacks.


Event Agenda

5:30 – 6:00 PM — Networking (in-person only)
6:00 – 7:15 PM — Three expert talks and Q&A
7:15 onward — Networking with Toronto's product community


Location

In-person @ BrainStation - 482 Front St W 2nd floor, Toronto, ON M5V 0W1 or via Zoom


Accessibility

For any accessibility concerns, please reach out to us at info@tpma.ca.


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