Workshop

From AI Feature to Revenue Line

Harinath Pudipeddi

Ex-Cerner, Studio NAVAKA

The shortest, sharpest AI without revenue is just a demo.

Most AI features are built as cost centres.

They should be revenue engines.

If you've shipped an AI product and you're still not sure how to price it, which revenue loop it runs on, or why your CFO isn't convinced — this workshop is designed for you.

In 4 hours, you will map your revenue loop, choose your pricing model, and leave with a 1-page Revenue Design Brief you can act on Monday. Every block produces a named artefact. This is not a lecture.

Built specifically for PM's and Entrepreneurs building with generic Monitisation playbook and where trust comes before self-serve.

What you’ll learn

How to identify which of the 3 AI revenue loop types your product is capable of running — and why forcing the wrong one kills monetization.

  • Which of 3 loop types fits your product — and why the wrong one kills monetisation even when the AI works.

  • Outcome-based, usage-based, seat tier, or embedded uplift — and defend it to a CFO who doesn't trust the ROI yet.

  • Diagnose your failure pattern

  • Why AI retention breaks differently from SaaS — and 3 mechanics that grow value over time instead of decaying.

  • Leave with a completed 1-page document — loop, pricing, retention, 30-day plan — ready for your next board update.

  • Value-based pricing in trust-deficit markets, the race-to-the-bottom trap, and what to say when buyers ask "what does everyone else charge?"

Workshop agenda

  • Why AI products fail to monetise?

    Most AI features are built as cost centres, not revenue engines. This block names the four failure patterns — and you'll identify which one your product is living right now.

  • The revenue loop framework

    Three types of AI revenue loops: efficiency loops, engagement loops, expansion loops. You'll identify which loop your product is capable of running — and why forcing the wrong loop kills monetisation.

  • Pricing and packaging AI value

    Four AI pricing models: outcome-based, usage-based, seat + AI tier, and embedded AI uplift.

  • Retention mechanics and your 30-day plan

    Why retention in AI products breaks differently from SaaS?

Learn directly from Harinath

Harinath Pudipeddi

Harinath Pudipeddi

Contact

Founding Principle at Studio NAVAKA

Cerner Corporation
Studio NAVAKA
HAPLO
See all products from Hari

Who this workshop is for

  • You are a product manager at a Series A or B company with an AI feature live or in active build

  • You are building in India, Southeast Asia, Australia, or anywhere in APAC where the US monetisation playbook consistently underdelivers

  • You can articulate what your AI does — but cannot yet explain why someone should pay specifically for it

What's included

Harinath Pudipeddi

Live sessions

Learn directly from Harinath Pudipeddi 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.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Frequently asked questions

Maven for Teams

Reimbursement

Get your company to pay

Everything L&D needs: email template, receipts, and certificate of completion.

Get reimbursed

Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

Save 20%+ with a team

Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$249

USD

Jul 10
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