Book · Training · Studio

Practical AI for people who have to ship it

For Product Owners and Business Analysts.

Turn “we should use AI for this” into a bounded, testable proposal your organisation can actually approve. Learn the method, practise it on a real case, then do the work in the Studio.

Atlas running exampleHands-on exercisesLive demosNo coding needed
Practical AI for Product Owners and Business Analysts by Madhusudhan Konda, book cover
£11.95Ebook

The method

01

Explore

Pick a problem worth solving and test whether AI adds anything.

02

Specify

Define the user, the AI task, the sources and the boundary.

03

Control

Design oversight, risk controls and evaluation into the product.

04

Deliver

Run a bounded pilot and make an evidence-based decision.

The running example

Meet Atlas.

Atlas starts where most enterprise AI starts: a senior stakeholder asking for “an AI agent”. Across the book and the course you watch it become something a bank, an airline or an energy company could actually approve.

Every exercise is practised on Atlas first, then repeated on your own problem. You see the same failure, like a policy question about a meal during delayed travel, from the angle of requirements, risk and evaluation.

Read the Atlas worked example
  1. The ask

    “We need an AI agent for policy questions”

    A broad, exciting idea with no user, no boundary and no measure of success.

  2. Explore

    An advisory assistant for the service desk

    One user, one painful workflow, and a human who still makes the call.

  3. Specify

    Two global policy domains, not everything

    Scope narrowed to travel and expenses, with named sources and owners.

  4. Control

    Filtered retrieval with the passage shown

    Answers grounded in the right policy, conflicts routed to a person, and failure cases tested.

  5. Deliver

    A governed pilot with a clear decision

    Measures, thresholds and stop signals agreed before a single user sees it.

Book cover

The book

The whole method, in one place.

A field guide for the people who sit between the business and the builders. Clear enough to use on Monday, rigorous enough to stand up in a governance review.

Format
Ebook (PDF + EPUB)
Chapters
13 + appendices
Price
£11.95

Instant download. The Kindle edition is on Amazon. Paperback £14.95 on Amazon.

What readers say

From the people doing the work.

★★★★★

“What I really liked about this book is that it goes beyond the usual AI theory and focuses on real business challenges. Madhusudhan Konda explains how to turn AI ideas into practical solutions, while keeping requirements, risks and governance in mind. I particularly appreciated the real-world approach and exercises. It feels more like a guide you can actually use at work rather than just another book about AI. Definitely a valuable read for Product Owners and Business Analysts.”
Amogh Joshi

More reviews →

Enterprise AI Product Studio

The software that produces the outputs.

The course teaches the method. The Studio is where your team does it for real, on your own initiatives, and produces the artefacts your organisation asks for.

  • Four Lenses assessment and opportunity case
  • One Canvas, ten connected decisions
  • Coherence review that catches contradictions
  • A decision record: proceed, sequence, reshape, park or stop

Why I built this

“I have spent over twenty years building systems in banks and large enterprises. The AI projects I have seen fail rarely fail on the model. They fail because nobody wrote down what the AI should do, for whom, and where it must stop. I wrote this for the people whose job is to write that down.”
Madhusudhan KondaAI engineer, author and trainer

Questions

Good to know.

Anything else? Email ai@chocolateminds.com.

Who is this for?

Product Owners, Business Analysts and anyone who has to turn “we should use AI for this” into something a delivery team can build and a governance board can approve. No coding is needed.

Where are the live courses?

Live courses and free sessions now run on Maven, where you can see dates and prices: maven.com/mkonda. For private training for your team, email ai@chocolateminds.com.

Where do I buy the book?

The ebook (PDF and EPUB) is £11.95 from this site. The Kindle edition is on Amazon. Paperback £14.95 on Amazon.

What is the Product Studio?

The working software for the method. Your team uses it to build the Four Lenses assessment, the Solution Canvas and the decision record for your own AI initiatives.

Can I try the method before paying?

Yes. The Solution Canvas, the evidence sheets and the Atlas worked example are free on the Resources page, no sign-up needed.

Your job is not to believe in AI or to doubt it. Your job is to specify it.