Commercial AI Product Strategy: Turn AI into Business Value

Elena Leonova

Product Executive, Founder & CEO OneRank

Lead your product’s AI transformation. Turn AI into commercial value.

You've built products, grown adoption, and delivered roadmaps. Now you're being asked to redefine what your product should become with AI.

The decisions reach beyond capabilities. AI can change the customer you serve, the work your product performs, what customers will pay for, and how the business makes money. Your existing product strategy needs to account for those changes.

A strong commercial AI strategy connects the business need to a differentiated opportunity, a viable economic model, and a clear investment decision. It explains where AI creates value, how the company captures it, and what deserves funding.

In six weeks, develop the judgment to make those decisions. Identify where AI can drive growth, improve margins, or create strategic leverage. Choose how deeply to transform the product, what to build, buy, or partner for, and how to monetize the value.

Become the product leader who defines the company's AI direction and makes the commercial case for it.

The choices being made now shape what your product becomes next. Build the commercial AI strategy skills to lead them.

What you’ll learn

Build a commercial AI strategy & ROI model so you can move from proposing features to making executive-level AI investment recommendations.

Analyze capital context, financial evidence, and the business model to identify what the company needs.
Map AI disruption and competitive pressure before choosing where to invest.
Leave with a business assessment supported by evidence and explicit assumptions.

Focus on the growth, cost, risk, or strategic leverage opportunities relevant to your business diagnosis.
Compare AI-enabled, AI-powered, and AI-native paths, including internal AI and external agent access.
Leave with a focused AI opportunity map connected to business outcomes.

Evaluate commercial impact, differentiation, moat, feasibility, and speed to value.
Compare build, buy, and partner options to decide which capabilities the company should own or access.
Leave with one prioritized AI initiative and a sourcing recommendation.

Calculate AI COGS across inference, infrastructure, external services, human oversight, and support.
Test how adoption, usage, and workflow complexity change unit economics and gross margin.
Leave with an AI cost model and explicit margin assumptions.

Assess pricing, packaging, willingness to pay, and how internal efficiencies become business value.
Model investment, incremental returns, payback, and scenarios in a guided spreadsheet.
Leave with a commercial model and an AI ROI spreadsheet.

Connect the business need, strategic bet, economics, and investment ask in one executive narrative.
Define leading and lagging indicators, time to signal, and continue, pivot, or stop thresholds.
Leave with a six-page commercial AI strategy and individual feedback from Elena.

Learn directly from Elena

Elena Leonova

Contact

Product Executive · Founder, OneRank · Former CPO, Spryker

See all products from Elena

Who this course is for

PM and Senior PMs asked to define AI strategy for an existing product and ready to connect product decisions to commercial outcomes.
Heads and Directors of Product responsible for choosing AI investments and explaining the impact on growth, margins, differentiation & ROI.
X-functional leaders: Product Marketing, Design, and engineering leaders shaping AI value props, commercial models & investment decisions

Prerequisites

Product experience
Familiarity with product discovery, customer needs, and validation. The course focuses on strategic and commercial decisions.
A business to analyze
Bring your own company or choose an external company. Public evidence and clearly stated assumptions can support your work.
Weekly participation
Attend the live sessions and develop one section of your strategy between sessions.

What's included

Live sessions

Learn directly from Elena Leonova in a real-time, interactive format.

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.

Live teaching sessions with Elena

Join six one-hour live teaching sessions led by Elena, covering the core concepts, frameworks, and practical steps needed to develop a commercial AI strategy.

Office Hours for questions and strategy reviews

Attend six one-hour office hours sessions to ask questions, discuss challenges, and receive guidance on your strategy, decisions, and next steps.

A focused cohort of up to 10 participants

Learn alongside a small group of up to 10 participants, creating space for meaningful discussion, peer learning, and personalized attention throughout the course.

Individual feedback on your commercial AI strategy

Receive tailored feedback on your commercial AI strategy, with practical recommendations to strengthen your thinking, priorities, assumptions, and proposed actions.

Business diagnosis and AI opportunity templates

Use structured templates to assess your business, identify relevant AI opportunities, and organize your analysis into a clear and actionable strategic view.

Guided AI cost and ROI spreadsheets

Work through guided spreadsheets to estimate AI costs, evaluate potential returns, test assumptions, and build a more grounded business case for investment.

A 6-page executive narrative developed throughout the course

Build a concise six-page executive narrative during the course, bringing together your diagnosis, opportunities, economics, recommendations, and implementation priorities.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

12 live sessions • 36 lessons • 6 projects

Week 1

Jan 4—Jan 10

Diagnose the Business and Map AI Disruption

Nov
3
Diagnose the Business Before Choosing the AI Strategy
Tue 11/34:00 PM—5:00 PM (UTC)
Nov
5
Optional: Review Your Business Diagnosis and Commercial Focus
Thu 11/54:00 PM—5:00 PM (UTC)
Optional

6 more items

Week 2

Jan 11—Jan 17

Map AI Commercial Opportunities and Transformation Paths

Nov
10
Find Where AI Can Create Commercial Value
Tue 11/104:00 PM—5:00 PM (UTC)
Nov
12
Optional: Pressure-Test Your AI Opportunities
Thu 11/124:00 PM—5:00 PM (UTC)
Optional

7 more items

Testimonials

This course completely shifted how I approach my work - from "what are we releasing next" to "what does this unlock for the business."
Deepika
Senior Data Product Manager, WP Engine
Everything you learn is immediately actionable, and she supports you individually through office hours and challenges you every step of the way in live sessions. I brought frameworks to my CPO, and he was impressed.
Cajisha
Product Manager, Eduphoria
What makes Elena Leonova’s course stand out is how naturally she explains how strategy actually emerges from the underlying business drivers, something I’ve rarely seen covered with this level of clarity and precision.
Mathias
Product Coach
Understanding the business and its needs first positions you to deliver the greatest impact as a product manager - for both customers and the company. I feel more confident in strategic conversations and have so many ideas about how to apply this in my current role.
Stephanie
Product Manager, WeVideo
Elena helped me develop a much stronger business perspective and understand how product decisions connect to the broader strategy of an organisation.
Pankaj
Senior Product Manager, Reply
This course provides a clear perspective on how product executives evaluate the business and make strategic decisions.
Vova
Senior Product Manager, Spryker