prakash

Lead Business Transformation for Agentic AI - 95% fail rate

NetApp

Johnson Controls

Prakash Venkitachalam

Senior Ops & AI Transformation Leader at NetApp

Learn where most teams go wrong, and what top-performing orgs do differently

3 Shifts to Make Ops AI-Ready -and What Happens If You Don't

Finally see where AI can deliver traction now — and where it's wasting time

How to Spot & Eliminate AI-Solvable Bottlenecks

Avoid the pitfall that derails transformations—preview a tried and tested framework to drive outcomes

The #1 Mistake That Kills AI Projects Before They Start

Step-by-step guidance to get real results, win exec buy-in, and deliver millions in savings

A Practical Framework to Lead AI Operations That Deliver

The Problem: Scaling organizational expertise with generative AI&nbsp;captures the basics but misses the distinctive thinking patterns and cultural fingerprint that differentiate your organization. The Solution: Capture, automate and reimagine your distinctive methodology with agentic systems using frameworks emerging from years of strategic consulting and building AI tools for Fortune 500 companies and think tanks. We provide the strategic insight and hands-on capabilities to integrate generative AI strategically—in a way that preserves your competitive advantage while unlocking new dimensions of interactivity and personalization. Effective AI integration requires new collaboration frameworks between domain experts and technical teams — we teach you how to bridge this gap so expert knowledge translates into reliable, personalized AI outputs. You will master the frameworks we have been applying for half a decade for global consultancies and companies, walking away with a repeatable blueprint for scaling generative AI across the enterprise. Atop the theoretical bedrock, we bring heavy focus on hands-on practice doing unglamorous but essential work for mastering generative tool deployment: data plumbing, iterative evaluation and stress-testing, collaborative prompt design and de-risking roll-outs through phased deployment. This is not just a course. This is a commitment of experts with a decade of combined experience to transform your workflows and multiply your organization's output.- Unlimited one-on-one consultation opportunities during the course- Proprietary chatbots trained on the learning content- A resource hub 3 years in the making- Takeaway: The extent of your learning is bordered only by the time you are willing to commit.

Transform Your Organization's Expertise Into AI-Powered Competitive Advantage

Course syllabus

Synchronous zoom lecture on Tuesday, focusing on the conceptual backbone of AI agent functionality and applications. Recordings of class will be available soon after its completion.

Tuesday

An async walkthrough will guide you in building functional prototypes of AI Agents. You will get to shape the project deliverable. Lecturers will be available by email, during office hours and via one-on-one sessions throughout the week for questions and support.

Weekly projects (async)

Optional office hours where you can ask questions and receive personal guidance on developing your AI applications.

Tuesday & Thursday

Schedule 1:1 coaching time with instructors for individualized help with your hands-on projects, privately thinking through a use-case, or whatever else you need.

1:1 Coaching

Course schedule

Executive Leaders who need to scale organizational capabilities with AI while preserving competitive differentiation

Project/Product Managers leading cross-functional AI integration initiatives bridging domain expertise with technical implementation

Domain Specialists who want to enhance their analytical workflow through custom AI applications without having to code

Who is this course for

What you’ll get out of this course

Master the end-to-end methodology from initial requirements to production launch, including risk assessment, phased implementation, and organizational adoption strategies that minimize disruption while maximizing competitive advantage

Strategic AI Integration Frameworks

Transform unstructured institutional knowledge like meeting transcripts, reports, and backlogs into agentic systems that prevent your expertise from walking out the door with the next turnover

Culture Capture From Unstructured Data

Design and implement human-in-the-loop evaluation systems and testing methodologies that ensure trust, relevance, and reliability

Quality Assurance and Evaluation Frameworks

Navigate technical tradeoffs across compliance, latency, and cost vectors while managing non-technical stakeholders through AI development cycles and scope definition

Strategic Decision-Making and Project Management

Update your awareness with strategic foresight and thorough ecosystem analysis of AI affordances in specific industries, domains and modalities, enabling informed investment decisions and long-term positioning

AI Ecosystem Intelligence and Future Planning

Automate and amplify institutional knowledge through AI agents that embody your cultural DNA

Cohort 15

Lev Gorelov

Jeremy Kirshbaum

Cohort 14

Cohort 16

You Don’t Need to Master Every Tool. You Need to Master the Leadership That Makes Any Tool Deliver Results. New models are dropping weekly, the tech is racing ahead, but the business results aren’t catching up. So if it’s not the tech, what’s really slowing you down? ↳It’s misaligned expectations.↳Shifting direction.↳Burned-out builders.↳Poor decisions being made in the name of urgency. Because, if everyone is a priority, nothing is. Do any of these sound like you? You're leading an AI initiative (maybe as a business, product, or strategy head) and you find yourself wondering: 1) How do I even evaluate whether this AI use case is worth doing?2) Everyone's excited about agents and RAG, but which one fits my workflow?3) My team keeps asking for more budget. How do I make tradeoff decisions across cost, latency, and ROI?4) My execs want results fast, but my builders are blocked. How do I create alignment?5) We’ve launched a few pilots, but nothing’s scaling. Are we missing an operating system? If you’ve asked yourself even one of these questions, then this Agentic AI Business Leadership OS is built for you. Because, as a business leader, you don't need to code, but you do need to lead and deliver results Join the Agentic AI Business Leadership OS by enrolling for this course now!!! 💬 Why I Built This? From my experience leading AI transformations, working closely with leaders across AI startups, enterprise innovation teams, and product orgs, I kept seeing the same pattern: * Smart teams blocked by vague direction* Leaders are under pressure, reacting to hype* Execution breaking down not from tech but from leadership drift This course is the operating system I wish every decision-maker had when they were told to “just bring AI into the business” Because tools change weekly.But execution still runs on systems, tradeoffs, and trust. Why learn from me? If you’ve ever asked, “Why isn’t this AI project moving?” I’ve been the one senior leaders called to diagnose the blockers and rebuild momentum. I’ve worked inside high-stakes C-suites and late-night product reviews, translating strategy into execution on AI projects that couldn’t afford to fail. As an advisor to enterprises, innovation teams, and AI startups, I’ve seen: ↳Roadmaps that excite the board but confuse the team↳Tech that demos well but never ships↳Strategy decks with no system for decisions So I built this course to give leaders not more tools but the operating system to make the right calls. Who This Course Is For? ✅ You’re a business, product, or transformation leader tasked with AI strategy✅ You’ve got domain expertise (telecom, cyber, supply chain or even web3) but feel unsure how to layer in AI✅ You’re responsible for execution, but overwhelmed by vendors, jargon, and pilot fatigue✅ You care more about credible delivery than playing with shiny tools You don’t necessarily need to know the math.But you do need to own the decisions that get AI shipped. What makes this course unique? ✅ It includes real-world case breakdowns, red flag decoders, and tradeoff playbooks✅ It features insights from applied AI leaders and operators in the trenches✅ It is designed for deep transformation (and not vague trends or AI 101s) It’s the OS for how you lead in the age of agentic AI. It didn’t exist, so I built it. 🚀 ❌ Who This Course Is NOT For: 1) Engineers looking for deep technical model training2) AI veterans who've already scaled successful AI-native orgs (though you may benefit from the OS frameworks inside)3) Leaders who want a casual AI overview without execution If you're building in an AI-first world, the pressure to “get it right” is only growing. This course helps you make better decisions, faster. 🚀 Apply now to join the upcoming cohort

Build Scalable Agentic AI Businesses and Lead the AI Economy

Business Leaders &amp; Decision-Makers working closely with technical teams

Entrepreneurs &amp; Founders who are either building an AI-first company or integrating AI agents into an existing business

Product &amp; Strategy Leaders looking for the tools to prioritize AI opportunities, assess feasibility, and measure ROI effectively

Scope the right AI initiatives with business-first thinking

Opportunity Discovery Framework

Make fast, high-quality calls in ambiguous situations, without waiting on perfect data

Decision Velocity Toolkit

A 6-layer leadership model: Opportunity → Economics → Metrics → Flywheel → Org Design → Impact

Agentic OS Stack

Know when to use RAG, agents, open vs. closed models, and why. Spot critical tensions like speed vs. trust, novelty vs. ROI, feasibility vs. ambition and resolve them with clarity

AI Economics & Tradeoff Radar

Design systems with trust, ROI, latency, and feasibility baked in. Learn what “good” looks like, how to measure success, and where most orgs go wrong in tracking AI value

AI ROI & Adoption Metric

Plug AI into real business processes

Workflow Integration

Know where your org stands and how to scale wisely

Agentic AI Maturity Ladder

A systems-first leadership OS for decision velocity, intelligent execution & AI-native transformation

Vidhi Chugh

Cohort 1

Cohort 2

Clients want coaching, your team wants direction, and leadership wants you to 10× your own output with AI - all while the AI tech stack changes every week. When you're not-technical and don't have the time to become technical, this becomes an insane challenge to overcome.&nbsp; It's also the challenge that I had to solve for myself. At Accenture, I went from being a non-technical leader to securing $2M in funding for AI initiatives. Then I helped build the AI strategies that drove productivity improvements for over 14,000 consultants. Today, I advise both tech startups and Fortune 1000 companies on becoming AI-native organizations. What you need is the time and space to learn by doing. I'll show you how to pick the right problems to solve with AI (and that will get you kudos from your bosses) and we will collectively build AI solutions together, live. Plus you'll walk away with frameworks and cheat sheets so that you can do it again and again -- and teach your team how to do it. Walk away not just with a working AI experiment, but with the skills and frameworks to become the go-to AI leader in your org. This cohort isn’t “AI 101.” It’s applied enterprise-grade learning for leaders who want to be ahead of the curve, not catching up to it. Unlike broad "AI for Leaders" courses that just cover definitions, this live lunch-time cohort is hands-on -- you'll pick your top use cases, calculate ROI, decide on the tech stack, and try your hand at automating some of your own workload. WHAT TO EXPECT:Format: four live, lunch-time sessions across two weeksSupport: two optional interactive office hours for hands-on helpPrep: bite-sized, zero fluff—show up, apply, move onOutcome: identify high-impact AI use-cases, craft an executable plan, and become the AI-native voice in your org (or for your clients) WHAT WE'LL COVER:- Pinpoint problems that are truly AI-solvable (we’ll choose them live)- Scope projects that become career-making case studies, not budget sinkholes- Speak “just-technical-enough” about GenAI, agents, ML, and automation- Make smart Build • Buy • Vibe-Code calls to save cash and time- See case studies from companies seeing 70%-300% improvements in productivity, marketing, engineering, and product management- Select platforms for low-code / no-code AI automations- Set realistic expectations with leadership and clients- Overcome resistance and build cross-functional buy-in- Avoid the costliest implementation traps- Keep your strategy relevant as the tech leaps forward YOUR REPEATABLE AI PLAYBOOKGain proven frameworks, vendor matrices, and checklists to de-risk projects and win buy-in:1. Build, Buy, Vibe-Code AI Solution Decision Matrix2. AI Vendor Assessment Checklist3. “Why We’re Going AI-Native” Narrative Template4. 7-Point Checklist to Avoid AI Project Failure5. Handpicked list of my personal AI tech stack (the coolest AI products in the market right now) to explore The goal isn't to make you a technical expert - it's to give you the confidence to lead AI initiatives successfully. WHO WILL BENEFIT MOST FROM THIS COURSE: - You're responsible for AI projects but don't have a technical background- You need to make strategic decisions about AI investment- You're leading consulting engagements and clients want coaching on AI- You're bridging the gap between technical teams and business objectives- You want to position yourself as a forward-thinking leader WHO THIS IS NOT FOR: - Developers or AI engineers seeking technical implementation skills- Those expecting to become AI experts overnight- People looking for general "this is what ChatGPT is" courses If you're still not convinced, consider this: The price of this course is a fraction of the cost of a single failed AI project (so you should ask if your company will pay for this). And even if they won't, this is a small investment towards making your career future-proof.

Expectations have never been higher...

Use your lunch hour for the most impactful activity you could have on your plate -- future-proofing your career.

Wednesdays & Fridays Live Sessions

Open Office Hours for any questions and deep dives.

Thursday AMA Office Hours

Team leads, directors, and department heads who have been "volun-told" to implement AI and need to show a plan, quickly.

AI consultants who need structured frameworks to help clients decide on AI use cases, execution, and ROI.

Execs, founders, and business owners who need to set the AI strategy for their org and can't afford to make costly mistakes

Who should take this course

Companies are already seeing huge results...HubSpot improved email performance by 70%, Gumroad increased feature releases by 300%. Don't reinvent the wheel. Learn directly from real, behind-the-scenes case studies - and leave with a tangible plan for your team.

Leapfrog to picking 2-3 of the most impactful AI use cases based on what top AI leaders are doing

Decision fatigue is real -- and not all use cases need to be custom-built (and who has engineering resources for that, anyway). You'll be able to confidently decide how you should implement each use case to maximize speed to value. We'll apply this framework together in real time

Steal my framework for quickly deciding whether to Build, Buy, or "Vibe Code" AI solutions

Learn how to prompt AI agents like a boss, pick the right platform (Zapier, Make, ChatGPT, N8N), and start to automate your own work so you can deliver 10x more value.

Vibe code your AI "quick wins" live

74% of companies are struggling to see value beyond an AI proof of concept. We'll cover what makes a good AI deployment (to AI agent or not to AI agent) so your efforts stay relevant and scale over time. We'll analyze real situations from within the cohort.

Deconstruct the best practices and top mistakes companies make when deploying AI internally

AI tech isn't even the hardest part -- AI leaders are putting 80% of their effort into aligning people and processes. You'll leave with a clear, actionable roadmap to transform your team into an AI-Native powerhouse.

Create your own "Why We're Going AI Native" narrative to gain buy-in from your team

Walk away with a working AI experiment built on your own business problem — and the skills to become the go-to AI leader in your org.

Lauren Vriens

The Leadership Crisis No One Talks AboutIt's 2:47 AM and you're staring at the retention dashboard. Again. Your "AI-enhanced" feature launched to fanfare three months ago... great press, executive excitement, promising initial adoption. Now you're watching 73% of users abandon it after the first session. Tomorrow's executive product meeting is focused on exactly this: the design problem causing the retention cliff. You need to present research findings and lead a strategy discussion that could reshape your entire approach to AI. This isn't just about fixing a feature, it's about defining what AI design leadership looks like. Why This Moment MattersYour credibility was built on predictable delivery. For years, you shipped experiences that worked consistently. Now you're pioneering something entirely new, and that positions you to lead the industry standard. The paradigm has fundamentally shifted: Traditional UX Design:- Deterministic systems with predictable, consistent experiences- One-way interaction where users experience a fixed interface- Success measured by users completing intended paths AI Systems:- Non-deterministic learning systems where every interaction changes future behaviour- Bi-directional adaptation where both human and AI evolve through each encounter- Success measured by the quality of the evolving relationship﻿ 54% of people don't trust AI systems despite 61% of respondents using them daily. (University of Melbourne and KPMG, 2025) That retention cliff isn't a failure; it's feedback. Users sense the mismatch between predictable tools and learning entities. You're uniquely positioned to solve what no one else has figured out yet. The OpportunityThe leaders who master relationship design first won't just solve their retention problems; they'll become the case study everyone else studies.This is your chance to define what trustworthy AI design looks like, rather than follow standards someone else sets. A Leadership Transformation in Three MovementsThis intensive journey rebuilds your leadership approach for the relationship design era: 1. Leading Through UncertaintyHow to guide teams building systems that learn and adaptCommunicating AI value to executives without overpromisingMaking decisions about technologies you're still mastering 2. Building Trust-First TeamsEstablishing design processes for non-deterministic systemsCreating quality standards for evolving AI relationshipsDeveloping team capabilities in trust signal design 3. Scaling Relationship DesignImplementing frameworks that work across your entire organisationMeasuring success in dynamic, learning systemsBuilding competitive advantage through trustworthy AI ﻿For Design Leaders Under PressureDesigned for leaders who must deliver AI transformation while maintaining team confidence and executive credibility—who recognise that relationship design isn't just a new methodology, it's the fundamental shift that determines whether your organisation leads or follows. Whether you're currently:A UX Design Leader orchestrating team transformationA UX Research Leader scaling insights through AIA Strategic Design Leader defining AI-enhanced experiencesWhat unites our participants is their recognition that leading AI adoption requires something more nuanced than traditional management approaches. The Essential Leadership Outcomes You emerge with:Frameworks to guide teams building learning systems you can't fully predictLanguage to communicate AI value without technical BS to executivesProcesses that maintain quality while embracing non-deterministic outputsMetrics that prove relationship design delivers measurable business impactA network of leaders defining the standards everyone else will follow Most importantly, you join a community of leaders pioneering this emerging discipline; professionals who understand that the most valuable AI systems won't be those with impressive technical specifications, but those designed with profound understanding of human trust dynamics. A Limited ExperienceLimited to fifteen participants per cohortFocused on meaningful exchange and personal attentionA deliberate practice developed through engagement with fellow leaders "The leaders who recognise this shift first won't just survive the transition—they'll define what relationship design looks like for everyone else." ** This course can you considered as an Add-On to the Human-Centred AI : Building AI Systems People can Trust. https://maven.com/ai-flywheel/human-centred-ai

Lead with Trustworthy AI: Design, Innovate & Inspire

Weekly LIve Ethics Lesson 90 minute sessions where we unpack 1 ethical principle in depth and have peer to peer conversation.

Thursdays - Live Workshops

You'll be given<ul><li>&lt; 60 min of e-learning modules per week</li><li>practical exercises</li><li>micro-habits to apply learnings directly to your AI use in your daily work</li></ul>

Self paced learning 

You have access to BONUS lessons to build your personal AI literacy - this optional session is a group coaching opportunity for any questions or challenges you have using AI for your own work.

Optional - AI Help Office Hours

UX &amp; Design Directors : Balancing executive AI demands with your team's creative integrity and fear of replacement.

UX Research Leaders : Scaling research with AI whilst preserving methodological rigour and meaningful human insights.

Service Design Leader : Reimagining end-to-end experiences with Human+AI interactions whilst maintaining human agency and trust.

You'll leave being able balance innovation with user trust, giving you confidence to lead AI initiatives that executives support.

1. Strategic AI Roadmap for Design Teams

Master proven design patterns that increase user trust in AI features by 30%. You'll learn exactly where transparency, human oversight, and error correction mechanisms create measurable improvements in adoption and retention.

2. Trust-Building Design Patterns 

Transform your designers from AI-overwhelmed to AI-empowered with frameworks that show exactly where AI enhances rather than threatens creativity. You'll restructure workflows that boost productivity whilst preserving your team's unique human value.

3. Team Transformation to AI-Enhanced Operations

Establish yourself as your organisation's trusted authority on Trustworthy AI design. You'll master the language, metrics and case studies that convince skeptical stakeholders, positioning you as the strategic bridge between technology and human experience.

4. Leadership Positioning Strategy

The live weekly sessions we unpack 1 ethical principle using a real world case study of an AI implementation that went wrong. Having peer-to-peer discussions and practice applying the ethical principle to a new case study. Allowing you to practice applying in safe space.

5. Real-World Implementation of AI Ethical Principles

Design leaders are under pressure -  expected to adopt AI, guide teams through change, protect creativity, and build trust at scale.

Lightning Lessons

Lead Business Transformation for Agentic AI - 95% fail rate