REMAIN RELEVANT™ · The AI Masterclass for non-technical decision-makers

The problem

Every board meeting now has an AI question.

Every vendor claims AI.

The biggest risk isn't AI. It's making expensive AI decisions with borrowed confidence: the vendor's, the consultant's, the loudest voice in the room's.

91% OF C-SUITE EXECUTIVES ADMIT TO PRETENDING TO KNOW MORE ABOUT AI THAN THEY DO · PLURALSIGHT, 2025

The promise

Lead AI decisions with confidence.

By the end of the masterclass you can explain your call to your board, question a vendor about it, and defend it. Without becoming technical.

Understanding is how we get there, not what you're here for. You leave knowing:

[1]

Whether you actually need it

[2]

What it should cost, and whether it will pay

[3]

Whether you're ready

[4]

How to stay on the right side of coming regulation

[5]

How to see through vendor claims

The masterclass

Four questions. Your order, not the industry's.

A HALF-DAY MASTERCLASS · THE SAME FOUR QUESTIONS YOU'D ASK ABOUT ANY NEW HIRE

What exactly am I managing?

Meet the strange new hire who has read most of the internet: total amnesia, confident when wrong, patterns rather than understanding. How it works in plain language, what all the vendor words mean, and how much you actually need to know. Less than you fear.

Where should I trust this employee?

You'll run one real decision through every framework until it reaches a verdict: go, cheap test, or not yet.

How do I build a team around this employee?

Real vendor claims tested live: real, or fluff. Your first AI hire, a translator-builder rather than a research scientist. And the operating model that doesn't start with a data lake.

What do I do on Monday?

The 90-day sequence in your own handwriting, your Decision Dossier assembled, and one commitment spoken out loud. Commitments said aloud are far more likely to become action. That's why we end standing up.

You bring one AI decision you're currently wrestling with. A vendor pitch counts. You'll drag it through every framework and leave with it stress-tested, on paper, in your hands.

The take-home kit

Leave with your own AI Decision Dossier.
Assembled from fourteen working pages.

Every page gets filled in against your one decision, in the room, and they assemble behind one board-ready cover: opportunity, verdict, owner, first meeting date, and the one assumption you most need to test. One page a board would review. All yours to keep.

01 / 14

The Idea Card

One idea you're considering, or one decision on your desk. It rides with you all day.

02 / 14

The Plain-Language AI Map

The whole field, one page, no jargon.

03 / 14

The AI Transformation Journey

Six steps, one loop. The master frame of the day.

04 / 14

The Decoder Ring

Nine vendor words, translated to the hire.

05 / 14 · Signature

The 6-Question Card

Agent, assistant, automation, or not yet. Your idea, through the gate.

06 / 14

The Agent Decision Tree

Mark your idea's path. A good gate says no as often as yes.

07 / 14

The ROI One-Pager

Directional, not decimal. Band, not number.

08 / 14

The Readiness Checklist

Five dials, scored honestly against one idea.

09 / 14

The Responsible-AI Checklist

Six exposures: ask early, name owners, re-run quarterly.

10 / 14

The Regulation Cheat-Sheet

What's law, what's next, at your size.

11 / 14

The Vendor Scorecard

Seven questions, asked verbatim. How not to get fooled.

12 / 14

The Hiring Guide

Your first AI hire: a translator-builder, not a research scientist.

13 / 14

The 90-Day Sequence

What to do first, second, and not at all.

14 / 14

The Wrap-Up Page

Two lines on the day, in your words. The only price of a free session.

Two of the frameworks, the Ladder of Delegation and the Salary Map, you meet only in the room.

Who teaches this

Ritesh M. Srivastava

Seventeen-plus years leading AI and data transformation across 8 countries and six industries: fintech, steel, pharma, automotive, travel and retail. Three C-suite and senior AI roles. Two books on making AI plain for the people who decide. He teaches what he has built, budgeted for, and answered to regulators about.

BHARATPE

Chief Data Officer at the fintech unicorn. Led the company-wide DPDP data-protection transformation; primary data liaison to the RBI.

JINDAL STEEL

Chief AI Officer at Jindal Steel & Power, one of India's largest steelmakers. AI at industrial scale, from the furnace floor to the boardroom.

LOWE'S

Built AI and data science inside the Fortune 500 home-improvement giant.

NOVARTIS US

Led commercial analytics for a $1.7B budget at the global pharma leader.

EDUCATION

MIT Sloan · IIM Bangalore

AUTHOR

Data Decoded and remAIn relevant: AI and data, made plain for decision-makers.

RECOGNITION

AIM 40-Under-40 Data Scientists · Top 100 Analytics Leaders APAC · AI Changemaker of the Year

This is for you if

+You're a non-technical decision-maker: a CEO, an owner, a CFO, an HR or ops leader, or the executive AI landed on

+The AI decision in front of you has real money behind it

+No internal AI leadership yet

+Ready to bring one AI idea, or one decision sitting on your desk

This is not for

-AI practitioners

-Vendors

-Consultants

-Companies with a Chief AI Officer or an established AI leadership team

Request an invitation

Twelve seats per session. Tell us about yourself.

Free · Invitation-only · Half day · Boston