Design & Validate Winning AI Product Value Propositions
Translate AI features into business value with proven GTM frameworks
This course is no longer available.
Explore other coursesCourse overview
Turn AI product features into clear, testable, customer-facing value
Whether you’re shaping a new AI-native product or enhancing an existing SaaS product with AI, success hinges on your ability to clearly articulate its value.
This course helps Founders, PMs, PMMs, GTM leaders, and innovation teams turn AI capabilities into compelling, testable value propositions using the two GTM frameworks: Attractive Value Experience (AVX) and Minimum Viable & Valuable AI Product (MV²AP).
Launch—or relaunch—with strategic clarity!
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This is a hands-on INTENSIVE course that requires at least 3 hours every week for you to stay on path.
Includes 8 live Classes + 4 Workshop/Office Hours
While this course is new to Maven...
All materials & concepts have been tested live in workshops with AI founders, PMs and GTM leaders.
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DO NOT APPLY, if you're:
- Founder or PM in pure exploration mode, without a clear customer problem or product direction
- Student without a current product or project to apply the frameworks to
- AI-curious professional without GTM, product, or customer-facing experience
- Person looking to vibe code/build AI apps
This course is for you if you're:
01
Founder or PM already building an AI-powered B2B product...
who is unsure of your product's value impact at customer.
02
Product marketer or GTM lead launching a new AI capability...
and can't decide which AI value propositions will be most compelling.
03
Solution consultant or strategy lead defining AI business value
...for existing AI enhanced SaaS products or AI native products.
Prerequisites
You’re building or improving an AI product
This course is for those actively shaping or evolving real AI-native or AI-enhanced SaaS products—not AI hobbyists.
You know your customer and product basics
You must understand who your users are, their workflows, and the business value your product aims to deliver.
You bring PM, GTM, or customer-facing experience
This course is not for coders—it’s for PMs, GTM leads, or innovators focused on value, not implementation.
What you’ll walk away with:
An AI Value Prop Blueprint to align features with real user, team, and buyer value
You’ll walk away with a complete, tested blueprint that connects AI capabilities to compelling customer value using the Attractive Value Experience (AVX) framework.
Clarity on AI-enhanced vs. AI-native solutions with strategic guidance to choose the right path
Gain a clear lens to evaluate and position your product—whether you’re layering AI onto SaaS or building AI-native from the ground up. Know the difference in value creation between them.
A Minimum Viable & Valuable AI Product (MV²AP) shaped by buyer goals, pricing, and testable positioning
Learn to design the smallest version of your AI solution that delivers real value—and know how to price, package, and explain it clearly.
A repeatable GTM playbook to test, validate, and scale AI value propositions across markets
Develop a structured approach to run GTM experiments, refine messaging, and drive traction with clarity and confidence.
What’s included
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Live sessions
Learn directly from Anurag Wadehra in a real-time, interactive format.
Anurag's AI Tutor
Custom AI tutor trained on all the course materials, concepts and worksheets. Available 24X7 during the cohort to help you at every step.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
12 live sessions • 32 lessons • 7 projects
Week 1
- 📄
Why current value prop methods no longer sufficient
- 📄
AI Value Props Blueprint: What is it, why you need it
- 📄
What you need to bring to build AI value props
Aug
5
Session 1
Tue 8/53:30 PM—4:30 PM (UTC)
INTRO: Setting the context
Week 2
- 📄
Establish your AI ready customer's profile criteria
- 📄
Map customer archetypes
- 📄
Identify archetype roles in value chain
- 📄
Assess potential of customer burning problem
- 📄
Map current business value & tech architecture
- 📄
Assess customer AI action potential
- 📄
Summarize AI ready customer
Aug
12
Session 2
Tue 8/123:30 PM—4:30 PM (UTC)- ✍️
WORKSHEET: Calibrate Your AI Ready Customer Potential
Submit by Aug 20
Your AI Ready Customer
Week 3
- 📄
AI-enhanced versus AI-first value ladder
- 📄
How to set the right balance: criteria and tradeoffs
Aug
19
Session 3
Tue 8/193:30 PM—4:30 PM (UTC)- ✍️
WORKSHEET: Choose Your AI Value Strategy
Submit by Aug 22
Your AI Value Strategy
Aug
21
WORKSHOP 1: AI Ready Customer & Value Strategy
Week 4
- 📄
Map value chain of use cases
- 📄
Establish your AI + current product tech stack
- 📄
List your AI enhanced product capabilities
- 📄
Align your AI & agentic product capabilities to value chain
- 📄
Pair AI to each User|Team|Buyer archetype
- 📄
Define how your AI enhanced solutions are differentiated
- 📄
Summarize value props of your AI enhanced solution
Aug
26
Session 4
Tue 8/263:30 PM—4:30 PM (UTC)- ✍️
WORKSHEET: Generating Value Props for Your AI Enhanced Solution
Submit by Sep 3
Generating Value Props for AI-Enhanced Product Solution
Week 5
- 📄
Aim at goals & sub goals to reach that solve a burning problem
- 📄
Define your full stack AI & agentic product capabilities
- 📄
Reimagine AI native value chains & use cases
- 📄
Build out a new human AI pairing for each use case
- 📄
Define how your AI native solutions are differentiated
- 📄
Summarize value props of your AI native solution
Sep
2
Session 5
Tue 9/23:30 PM—4:30 PM (UTC)- ✍️
WORKSHEET: Generate Value Props for Your AI Native Product Solution
Submit by Sep 5
Generating Value Props for AI-Native Product Solution
Sep
4
WORKSHOP 2: Generate AI Enhanced & Ai Native Solutions
Week 6
- 📄
Attractive Value Experience (AVX): What makes an AI product viable and valuable
- 📄
Translate AI capability to Attractive Value Experience (AVX)
- 📄
Anchor AVX in a simplified value chain
- 📄
Design human AI interaction and UX for the AVX
- 📄
Define minimum viable value prop: Pricing, Packaging, Positioning
Sep
9
Session 6
Tue 9/93:30 PM—4:30 PM (UTC)- ✍️
WORKSHEET: Design Your Minimum Viable & Valuable AI Product (MV²AP)
Submit by Sep 12
Designing Your Minimum Viable & Valuable AI Product (MV²AP)
Objective: Define and shape an AI-powered product that is both testable and valuable, anchored in a clear AVX.
Outcome: A scoped MV²AP with aligned persona, use case, and value hypothesis.
Sep
11
WORKSHOP 3: Your Minimum Viable & Valuable AI Product
Week 7
- 📄
Plan your MV²AP validation approach
- 📄
Structure GTM experiments with AVX metrics
Sep
16
Session 7
Tue 9/163:30 PM—4:30 PM (UTC)- ✍️
WORKSHEET: Your MV²AP Build & Test Plan
Submit by Sep 19
Validating and Launching Your MV²AP
Objective: Test the value and viability of your AI product with early users and buyers through lean experiments.
Outcome: A validated (or refined) MV²AP, backed by signal data and learnings.
Sep
18
WORKSHOP 4: Your MV²AP Validation & Launch Plan
Week 8
- ✍️
WORKSHEET: Your Top AI Value Props & Test Plan
Submit by Jun 11 Sep
23
Session 8
Tue 9/233:30 PM—4:30 PM (UTC)
FINAL: Putting Together Your Top AI Value Props & GTM Test Plan
What people are saying
Vivek Sriram
Kishan Patel
Meet your instructor
Anurag Wadehra
ex-Google, P&G | Scaled 6 startups $100M+ | CMO @ 2 public SaaS companies
WHY I STARTED THIS COURSE
After coaching both AI-native founders and SaaS leaders integrating AI, I kept seeing the same challenge: translating AI capabilities into clear, credible value propositions. These teams were skilled at building, fine-tuning, and imagining advanced AI solutions—but often struggled to connect those innovations to real customer needs in a way that felt grounded, testable, and trustworthy.
Too often, AI promises get lost in hype or feel disconnected from buyer reality. What’s needed is a first-principles approach to define value where the customer actually is—not where the tech wants them to be.
That’s why I created this course. It’s built around tested frameworks like the Attractive Value Experience (AVX) and Minimum Viable & Valuable AI Product (MV²AP), designed to help teams build and validate real-world AI value propositions.
Career highlights
I have 35+ years of experience as an entrepreneur and executive at companies like Google and Procter & Gamble.
Now, I am an advisor to fast growing tech companies across the globe. I’ve coached 150+ tech founders, product & GTM operators.
I’ve done six startups ranging from zero-$100MM+.
I have been a tech founder, run P&L, owned product management, built global GTM teams and created software solutions from data, AI to apps.
I was CMO at two public SaaS companies (LivePerson, Apigee); and have been part of one IPO and two M&As.
Find my thinking at Growth Matters newsletter www.anuragwadehra.com
Course schedule
~3 hrs weekly | 24 hrs total in 8 weeks
Tuesdays & Thursdays
8:30 - 9:30 am Pacific
1 Live CLASS Session ever week on Tuesdays
1 Live WORKSHOP Session every other week on Thursdays
Eight Week Course
12 Live Sessions (total)
Before Each Class Session
~ Study 1-hour of async material beforehand (videos + readings) to learn concepts
During Each Class Session
~ Engage in 1-hour live session
- Recap of async materials
- Group Exercises
- Solo Worksheets & Projects
- Case Studies
- Q&A
~ Bonus materials
Async pre-work (videos & readings) before each session
~ 1 hour per class
You are expected to learn the core concepts through videos and worksheets BEFORE you come to each session.
We recap the material briefly in class but you spend most time on hands-on exercises (group & solo), case studies and live Q&A to make progress.
Bite-size Solo Projects & Workshops
~ 1 hour per week
- You will get WORKSHEETS for mini-projects after each module
- You can join FOUR LIVE WORKSHOPS to get feedback & complete these
- You will have a custom AI TUTOR to help you at every stage
- While not mandatory, you are expected to share your final work in the last session
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Additional benefits for TiE Members
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In person AMA sessions
Join Anurag for in-person AMA sessions at TiE Silicon Valley Office
In person celebration
Join in-person celebration of the graduating TiE cohort
In person cohort meet ups
Join the TiE cohort members for meet ups after the course
For more details
Email aw@anuragwadehra.com or patricia@tiesv.ai