Pranav Pathak

Spot the Right AI Opportunities

Flipkart

Goldman Sachs

Director of Product, AI @Booking.com

Understand the common traps that cause most AI experiments to stall before impact.

Why 95% of GenAI pilots fail

Learn a structured way to evaluate AI opportunities

Spotting opportunities using the PROVE-IT framework

Apply the framework to quickly separate high-leverage bets from hype-driven distractions.

How to pick winners early

🚨 Independent offering. This course is not affiliated with, endorsed by, or related to any of the instructor’s current or past employers. This course is a practical roadmap for PMs who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success. This is best suited for PMs who have at least a theoretical grasp on the latest AI concepts (RAG, MCP, Evals) and who have played around with prototyping tools like Replit, Bolt but are looking to bring AI features from prototype to production inside their companies. At the end of this course, you’ll leave able to:&nbsp; - Build and deploy functional AI agents for your personal and team workflows. - Define Your H1/H2 AI Roadmap, and lead AI product strategy with confidence and credibility. - Evaluate AI product performance with robust metrics beyond simple accuracy, or toxicity.&nbsp;After years of building AI products, I’ve noticed something surprising: every PM building with generative AI obsesses over crafting better prompts and using the latest LLM, yet almost no one masters the hidden lever behind every exceptional AI product: evaluations. - Take prototypes to production with clear implementation plans. - Collaborate effectively with AI engineers, executives and stakeholders.&nbsp; - Learn how to identify and hire great AI PMs for your team. --- WHAT TO EXPECT 1. We’ll prototype an AI product (I.e. use code gen with Cursor / Replit + langgraph/crew) to build an agentic application/system, relevant to your work or life. If you don’t have an idea, I’ll provide one/walk through one. We’ll build it together. 2. We’ll breakdown how code gen agents work to understand the inner workings of an AI product/feature (main components).Evals are the hidden lever behind every exceptional AI product. We’ll explore this in practice by running evals on your prototype and iterating on the prompt. 3. We’ll talk about best practices for getting to production, what to think about when you have real user data, how to work together with an AI team.&nbsp; 4. We’ll turn your prototype + eval system + learnings into an “AI strategy doc/artifact” that you could use to convey this ai feature to others on your team/stakeholders --- This course will be very hands-on – you’ll build real tools, evaluation frameworks, and develop implementation plans!&nbsp; - 4 week live sprint: 8 interactive live sessions packed with vibe-coding labs, eval workshops, and peer feedback loopsAll sessions will be recorded and available to students asynchronously. - Built by and led by a current practitioner – I’m sharing the playbook I use as Head of Product at Arize AI (supports companies like Uber, Instacart, Discord, Reddit) and Spotify to help hundreds of engineers launch AI-powered products. - I'll also host a dedicated Slack community where you can communicate with me and other participants.&nbsp; - All sessions will be recorded and available to students asynchronously. This is not a theoretical course about AI concepts—it's a practical roadmap for product managers who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success.

Design, prototype, and ship AI-powered products that delight customers

Course syllabus

We'll help you get Cursor set up, but some familiarity with coding/debugging will go a long way here (i.e. being able to read python code)

Familiarity with code recommended (but not required)

We will have sessions twice a week for 4 weeks until the last week, for a total of 7 sessions.

Mondays and Wednesdays

There will be assignments after each session to reinforce what you learned in the lesson.

Weekly projects

Course schedule


Product Managers familiar with AI terms and concepts (LLMs, RAG, etc.) that wants to move beyond prompting to building actual AI products

PMs transitioning to AI-focused roles who see AI product leadership as their career differentiator in the next 1-2 years

Product Leaders and Executives responsible for AI strategy who need practical frameworks for evaluating and implementing AI initiatives

Who is this course for

What makes this course unique


This course will be focused on outcomes. I've intentionally limited enrollment to ensure personalized attention during live building sessions, direct feedback on your specific AI product challenges, and meaningful connections with fellow AI-focused PMs.

Hands-On Learning in a Limited-Size Cohort

Create real AI agents and products you can use immediately—no theoretical exercises. You'll master the techniques needed to build agents that solve real problems and continuously improve over. We'll be using low code tools like Bolt, Replit and write code with Cursor

Learn by building - Live during the lesson

Each lesson includes templates and frameworks you can use the next day at your job. Learn the end-to-end process for taking AI products from concept to shipping success, including agent building, evaluation frameworks, implementation planning, and product strategy.

Apply immediately to your work

Move from prototype to production with detailed guidance on what changes when scaling AI. You'll learn strategies for maintaining quality at scale with evals while managing cost, latency, and performance constraints.

Focus on the full lifecycle

&nbsp;Learn the critical skill of designing and implementing evals that CPOs at OpenAI and Anthropic identify as essential. While everyone else is obsessing over prompts, I'll show you why evaluation frameworks are the true differentiator in AI product development.

Master evals as a PM

Analyze the best AI products on the market to identify patterns that create exceptional experiences. You'll develop frameworks for identifying high-value AI opportunities and aligning your organization around AI.

Develop AI product intuition

This isn't theory from someone who "used to" build AI products. I'm actively working with companies like Uber and Instacart to implement and improve their AI systems. Everything I teach comes from the frontlines of AI product building.

Built by someone shipping real AI products right now

Connect with like-minded professionals transitioning into AI product roles, creating a valuable network for future collaboration.

Community of peers﻿


Build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience to become an advanced AI product leader

Cohort 2

Aman Khan

Cohort 1

Cohort 3

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 are frameworks and cheat sheets on what really matters in deciding what, how, and when to apply AI. 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 TOOLKIT YOU'LL TAKE WITH YOU: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

Course schedule

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

What you’ll get out of 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

Pick winning AI use cases, gain confidence in executing your AI plan, and get recognized by bosses and clients for being AI-native

Lauren Vriens

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

You know AI is transforming HR, but you’re tired of theory.You've probably experimented with ChatGPT for job descriptions, attended webinars that left you with more questions than answers, and watched other departments race ahead while HR stays cautious. The pressure is real leadership expects AI innovation, competitors are moving faster, and you’re stuck between awareness and action, spending hours on work that could be automated. 📊 Our research with 200+ HR professionals revealed:- 65% are stuck in experimentation.- 13% have integrated AI into core workflows.- Just 2% are leading strategic transformation. The gap isn’t technical knowledge. It’s practical frameworks, strategic context, and real-world guidance to work effectively with AI and prepare for managing AI-enhanced teams. And that’s exactly what this course delivers. 🤔 Critical Questions This Course Will Help You AnswerMost HR professionals know AI is important but struggle with these fundamental questions: - "I know AI could help HR, but I have no idea where to even begin—what's my first step?"- "Which HR processes should I automate first for maximum impact without creating compliance risks?"- "How do I write prompts that capture our company culture, policies, and legal requirements?"- "What makes an AI tool safe for sensitive HR data vs. a compliance nightmare?"- "How do I communicate AI ROI without sounding like I'm overselling technology?"- "How do I position myself as an AI-forward HR leader without alienating my team?"- "What's my roadmap to scale from pilot project to organization-wide adoption?" What to Expect This is an 8-week intensive that combines hands-on workshops with real-world learning from practicing HR leaders. You'll spend your time building actual AI prototypes for your specific challenges, presenting them in peer "shark tank" sessions, and learning directly from CHROs and CPOs who've successfully scaled AI across their organizations. 🛠️ How This Course is Designed for Mastery This isn't passive learning, it's collaborative problem-solving with peers facing the same challenges and guidance from leaders who've already solved them. Our proven three-part methodology builds expertise systematically: 🔧 Week-by-Week Skill BuildingLive workshops where you build working AI solutions for your biggest time-drains. Each week builds on the previous foundation—from individual assessment (Week 1) to team implementation strategy (Week 8)—ensuring you develop both tactical abilities and strategic judgment. 👥 Peer Learning AccelerationWeekly "shark tank" sessions where you present prototypes to cohort members for feedback. This accelerates learning by exposing you to diverse approaches and helping you avoid common pitfalls before you encounter them in your organization. 🎓 Executive Practitioner Insights15-20 minute deep-dives with CHROs and CPOs actively using AI in Fortune 500 companies. These aren't theoretical presentations—you'll learn from real implementation successes and failures, getting insider perspectives on what actually works at scale across organizations from 500 to 50,000+ employees. 🎁 Bonus: Weekly Office Hours - Optional 30-minute sessions for personalized guidance on your specific implementation challenges and organizational context. 💡 What You’ll Learn (and APPLY immediately) By the end of this course, you’ll be able to: ⚡ How to spot the right AI use cases—fastUse a strategic framework to assess your current AI readiness and identify 3–5 high-impact HR tasks you can automate to save 10+ hours/week.⚡ How to build your first working AI solution—without codingCreate live prototypes for resume screening, employee Q&amp;A, and HR report generation using tools like ChatGPT, Copilot, and Claude.⚡ How to craft prompts that actually work in HRLearn proven prompt structures that produce accurate, consistent, and context-aware outputs aligned with your org’s policies and tone.⚡ How to experiment safely with AI toolsEvaluate platforms through a compliance and risk lens—ensuring ethical use, data protection, and legal readiness from day one.⚡ How to pitch your AI use case to leadersGet peer and instructor feedback as you learn to communicate the ROI of your solution—building credibility and buy-in across the business.⚡ How to build a 90-day roadmap for scaling AI in HR - YOUR Capstone ProjectWalk away with a customized action plan, stakeholder map, and metrics to launch your AI pilot immediately after the course. ✅&nbsp;Who This Course Is For You're not here to chase hype, you want to master AI with intention and apply it where it counts. This course is designed for early to mid-career HR professionals (0–10 years of experience) working across Talent Acquisition, HR Business Partnering, Learning &amp; Development, and People Operations—especially if you're: - Recent graduates or career changers (0-2 years) entering HR who want to build AI fluency from day one and start their careers as AI-native HR professionals in an increasingly automated workplace- A Talent Acquisition Specialist drowning in resume reviews and manual JD edits, wondering how to use AI to free up time for candidate engagement- An HRBP or People Partner who just got asked to "explore AI for the org" but aren't sure how to evaluate tools, build use cases, or speak to ROI- A COE leader in L&amp;D or People Analytics who wants to embed AI into development programs or automate internal reporting workflows- HR professionals at any level who are tired of being left out of AI conversations in cross-functional meetings because you don't have concrete examples of how AI applies to your daily work- A People Ops Manager overwhelmed with backlogged policy updates and recurring HR questions, looking to build scalable AI workflows without waiting for IT- A high-performing HR generalist who's used ChatGPT for basic tasks—but now wants a roadmap to scale real solutions and drive adoption across teams You'll learn not just from me, but from a carefully curated network of CHROs, CPOs, and AI-forward HR leaders who join us weekly to share real implementation stories, common pitfalls, and practical advice. These aren't theoretical presentations, they're 15-20 minute deep-dives with executives who've successfully scaled AI across organizations ranging from 500 to 50,000+ employees. Many of our learners come from mid-market companies, Fortune 500 enterprises, and fast-growing startups across healthcare, technology, and financial services—with one thing in common: the pressure to move from experimentation to action. If you've recently been asked to "bring AI into HR" but don't know where to start or you've started but want structure, confidence, and real-world examples to get it right, this is for you. ❌ This course is not for you if… - You want someone else to implement AI for you instead of learning how to do it yourself.- You believe AI is just a passing trend and don’t see a need to understand how to work alongside it.- You're looking for step-by-step tutorials for every AI tool out there. We teach judgment and transferable frameworks, not one-off scripts that may be outdated tomorrow.- You expect to master AI integration overnight. This is about consistent practice, experimentation, and real-world learning.- You're unwilling to experiment with new tools or share your work-in-progress with others. The cohort thrives on shared wisdom and peer feedback.- You need to feel 100% confident before trying anything new—or you're hoping this course will validate avoiding AI altogether.- You're aiming to become an AI engineer or data scientist. This course is for strategic HR professionals, not technical specialists. We focus on unlocking strategic thinking and real-world application, not deep tech. The course also includes: - Real-world case studies from Fortune 500 implementations- Templates for business cases, policies, and implementation plans- Plus: Accountability partnerships to ensure you implement what you learn- Access to course materials, recordings, and practitioner network- All sessions taught by HR practitioners, for HR practitioners All sessions will be recorded so you can refer back to the material and continue learning as AI tools evolve. If you engage fully with the course—building prototypes, participating in peer feedback, and applying frameworks to your specific context—you will make a major leap ahead. You'll position yourself at the forefront of HR's technological evolution while maintaining the human-centered approach that makes our field essential.

From Uncertain Experimenter to Confident AI Champion

No technical background required . just an open mind and a drive to explore new possibilities in HR.

Curiosity

Access to the internet for course materials , tools and readiness to move beyond traditional HR methods.

A browser

Be ready to challenge old assumptions and most importantly, bring willingness to experiment, make mistakes, and iterate as you build.

Willingness to Unlearn

Transform from AI-curious to AI-fluent HR leader through intensive weekend workshops, AI Shark Tank sessions, and real-world prototype building.

8-Week Intensive Program | 19 Live Sessions

You can't master prompt engineering or build working prototypes in 30-minute lunch breaks, you need deep work sessions to truly understand how AI can transform your HR processes.

Weekend Intensive Format | Saturdays & Sundays

Advanced workshops covering multimodal AI, executive strategy sessions, and specialized deep dives when complex topics require extended focus

Selected Fridays

Between sessions, you'll complete application exercises and reflections that help you apply what you learned to your specific organizational context. These are individual assignments designed to bridge course concepts with your real-world challenges.

Weekly Application

This schedule is optimized for immediate application. You learn on weekends, then test and refine concepts in your organization during the week.

Learning on the GO

All live workshops include Q&amp;A, hands-on exercises, and peer collaboration. Sessions are recorded and available for review. Can't make a live session? Catch up with recordings and bring your questions to the next session.

For early to mid-career HR pros (0-15 years): HRBPs, TA Specialists, Directors, People Ops Leaders.

You have a demonstrated interest in HR innovation; ready to be an AI innovator.

You're experimenting with AI but feel overwhelmed or unsure how to scale for real impact.

You're drowning in resume reviews and manual report creation. We'll help you identify your biggest time-drain and build a working AI solution for it without coding.

Master context-driven AI implementation that saves 5+ hours weekly

Your CEO asks "What's our AI strategy for HR?" and you want to give a confident, specific answer. We'll practice crafting responses that demonstrate your understanding of AI applications, ROI potential, and implementation roadmaps so you sound like the strategic leader you are.

Articulate AI strategy with confidence in high-stakes conversations

Every AI vendor claims their tool is "revolutionary" and "perfectly safe." You'll learn to cut through the marketing speak and assess tools based on your specific HR needs, data protection requirements, and integration challenges. No more pilot projects that go nowhere.

Evaluate AI tools without falling for vendor promises

You'll learn to transform your deep understanding of policies, culture, and organizational dynamics into AI implementations that produce work meeting professional standards. Your outputs will reflect the nuanced judgment of an experienced HR practitioner.

Engineer context-rich AI systems using your HR expertise

The biggest barrier to AI adoption isn't technical, it's human resistance. You'll master the change management strategies that get your team excited about AI as a productivity partner, not a job threat. Learn to position AI implementations as career enhancers, not career enders.

Lead AI adoption through strategic change management

Your manager wants to see ROI projections, not just "AI will make us more efficient." We'll help you build presentations with specific metrics, timelines, and success measures that speak to executive priorities turning your AI initiative from a nice-to-have into a must-have.

Build compelling business cases that secure executive support

Master proven AI frameworks to automate HR tasks, build ethical policies, and lead strategic implementation that drives measurable impact.

Lightning Lessons

Spot the Right AI Opportunities