AI and Innovation Lead, Author, Speaker

Most enterprise AI projects don’t fail because of the model. They fail because nobody wrote down what the AI should do, for whom, and where it must stop. That job belongs to Product Owners and Business Analysts.
In this hands-on workshop, I take you through the method from my book on a real worked case, then you apply it to an AI idea from your own work. You leave with a one-page proposal your organisation can actually assess.
Go from “we should use AI for this” to a clear, one-page AI proposal your sponsor, engineers and risk team can all agree on.
Name the pattern beneath the pitch and test whether AI adds anything at all.
Use the six enterprise AI patterns to see what is really being asked for.
Spot an “agent” that is really just answers dressed up in ambitious language.
Define the user, the AI task, the evidence it can use and where its responsibility stops.
Fill in the Enterprise AI Solution Canvas, first for Atlas, then for your own idea.
Write acceptance criteria that work for AI, where the same question can get two different answers.
Build in human oversight, evaluation and controls before anyone writes code.
Answer the key question: what happens when it’s wrong, and who catches it?
Decide when it should refuse, cite its sources or hand over to a human.
Shape a bounded pilot and choose to proceed, sequence, reshape, park or stop
Ask what month thirteen costs, not just the pilot.
Record a decision your sponsor and governance board can act on.
Pick one live or planned AI idea from your work. You’ll use it all morning.
The six enterprise AI patterns and a quick test of whether AI adds real value
Break
Practise on the Atlas case, then fill in the Canvas for your own idea.
Oversight, refusals, escalation and how to test an AI product
Break
Shape a bounded pilot, cost it honestly and record your decision
Next steps and Q&A

25 yrs in banking tech · Author of Practical AI for Product Owners & BAs (72)
Product Owners and Business Analysts who’ve been handed an AI initiative and need to turn it into something buildable.
Delivery and product leads in banks, insurers, the public sector and other regulated organisations.
Anyone who writes requirements. No coding or data science background needed.

Live sessions
Learn directly from Madhusudhan Konda in a real-time, interactive format.
Live 3-hour hands-on workshop
Three hours on Zoom, in small groups. I work through the method on the Atlas case, then you apply each step to an AI idea from your own work, with feedback as you go.
A one-page Enterprise AI Solution Canvas for your own initiative
You leave with a filled-in Canvas for a real AI idea from your work: the user, the AI task, the evidence it may use, where it must stop and what happens when it’s wrong. It’s ready to take to your sponsor or governance board.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
The ebook of Practical AI for Product Owners and Business Analysts
The full method in 13 chapters, following one running case from first idea to governed pilot. Yours to keep and use on the next initiative.
Templates you can reuse
The Enterprise AI Solution Canvas, the participant worksheet and the Atlas worked example, in formats you can edit and share with your team.
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Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$249
USD
5–8am EST