Auditoria.AI Director of Product Management Unpacks How Top B2B Product Teams Decide What to Build in Agentic AI

Are you making confident AI product decisions or quietly hoping your roadmap choices hold up a year from now?

As AI moves from experimentation to production-grade systems, product managers are increasingly accountable for decisions that will define their product strategy, technical debt, and competitive position for the next 12 to 24 months.

On January 13, our Virtual Speaker Series features Auditoria.ai Director of Product Management Abhishek Vyas, who will unpack how top B2B product teams decide when and where to use machine learning, generative AI, and agentic AI, and how to avoid costly missteps along the way. We’ll dive into:

• What every product manager and product leader must understand about AI to make defensible, long-term roadmap decisions
• A deep dive into agentic AI and real B2B use cases that are already delivering measurable business value
• Designing for user trust in agentic AI: when to automate, when to escalate through human-in-the-loop workflows
• How high-performing PMs communicate effectively with AI and ML engineers to avoid costly execution misalignment
• How to assess AI product risk, limitations, and tradeoffs before they surface as customer or compliance issues

You will leave with concrete decision frameworks, shared language for working with AI and ML teams, and clear guidance you can apply immediately to make and defend AI product decisions.

You’ll also get the chance to take part in our Community Shoutout. Hiring? Growing your team? Searching for a co-founder or beta users? This is your opportunity to share announcements, make connections, and spotlight what you’re building.

Seats are limited. RSVP today to save your spot.