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Your team keeps talking about AI. It's on the roadmap, in the board deck, and in every standup. But when it comes to shipping something real? The backlog fills up with half validated ideas that never reach production.

This 2.5-hour sprint is built to fix that.

WHAT YOU'LL WALK AWAY WITH

→ 1–2 AI use-case briefs tailored to your actual product or initiative covering the user problem, available data, model behaviour, risks, and metrics.

→ A reusable AI Product Decision Canvas to evaluate any AI idea in future roadmap or steering-committee discussions.

→ A simple "AI-fit vs. non-AI" checklist so you stop throwing AI at the wrong problems.

→ Language and examples you can use immediately with leadership, clients, and delivery teams.

WHAT WE'LL DO IN THE ROOM

This isn't a lecture. You'll work on your own product or client context in real time using a structured AI product canvas to pressure test ideas with peers from product, engineering, consulting, and leadership. By the end, your ideas will be credible to both tech and business stakeholders.

WHO THIS IS FOR
→ Product Managers, Associate/Senior PMs, Product Owners, Program Managers
→ Solution Architects, Staff/Lead Engineers, QA Leads, UX Architects
→ Consultants, Senior Consultants, Partnership & Transformation Managers
→ Directors, VPs, Founders, and Delivery Managers
→ Freelancers and entrepreneurs shaping AI-enabled offerings

If you've been asked "What's our AI strategy?" while juggling unclear use cases and delivery risk this sprint is for you.

PART OF THE AI SKILLS SPRINT SERIES
This is Workshop 1 of 4 in our summer series. Each session is standalone

Workshop 2 · Jun 27 — Prompt Engineering & AI Workflows (no coding required)

Workshop 3 · Jul 11 — AI-Augmented Career Portfolio

Workshop 4 · Jul 25 — Career Power Skills in the Age of AI

FORMAT
Live, in-person | 2.5 hours | Bring your laptop
No death by PowerPoint. You work on real problems, not hypotheticals.

Related topics

Events in Bangalore, IN
Artificial Intelligence
Product Management
Software Engineering
Technology
Conversational AI

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