Move from Ideas and Features to Strategy, Revenue Design, and Customer Belief
Grounded in the Liquid Ocean approach, Studio NAVAKA workshops help organisations, founders, and product leaders design products, business models, and ventures that customers understand, trust, and pay for.
Design "AI Products Customers Actually Pay For"
A 4-hour live workshop to move from AI features to revenue loops, pricing, retention, and a CFO-ready business case.
- →You're a PM at a Series A or B company with an AI feature live or in build
- →You're a founder building an AI-native product or embedding AI into an existing one
- →You can describe what your AI does — but can't yet explain why someone should pay more for it
- →You're building in India, Singapore, or Australia where the US monetisation playbook consistently fails
1Why AI products fail to monetise50 min
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.
Exercise: AI Revenue Readiness Audit — score your product across 6 dimensions · 10 min
Artefact: Your failure pattern named and ranked
— 10-minute break —
2The revenue loop framework60 min
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 even when the AI itself works.
Exercise: Loop Discovery Workshop — map your product to one primary loop, in pairs · 20 min
Artefact: Your AI revenue loop mapped and loop type selected
— 10-minute break —
3Pricing and packaging AI value60 min
Four AI pricing models: outcome-based, usage-based, seat + AI tier, embedded AI uplift. Which model your loop demands — and why India and APAC teams default to the wrong one. How to present AI pricing to a CFO who doesn't trust the ROI yet.
Exercise: Pricing model selection — choose, score, and defend your model in one slide · 20 min
Artefact: Pricing model selected with a one-line CFO-ready justification
Includes: the race-to-the-bottom trap, value-based pricing in trust-deficit markets, the conversation to have when a buyer asks 'what does everyone else charge?'
— 10-minute break —
4Retention mechanics and your 30-day plan40 min
Why retention in AI products breaks differently from SaaS: the trust cliff, the accuracy plateau, the value erosion loop. Three retention mechanics that compound rather than decay. Hot seats: 2–3 participants present their revenue loop and pricing choice — the group pressure-tests it.
Exercise: 30-day experiment design — one retention mechanic to implement this week · 10 min solo
Artefact: Your completed 1-page Revenue Design Brief — loop + pricing model + retention mechanic + 30-day plan
Five days before the workshop, you'll receive the AI Revenue Audit — a 30-minute diagnostic you complete on your own product. Participants who bring it done consistently say it's where the real value starts. If you arrive without it, the session still works.
This workshop is the entry point into E1 — AI Strategy That Ships, Studio NAVAKA's 6-week Expert course. Hari will spend 15 minutes after the session with anyone who wants to know more.
Design AI Products Customers Actually Pay For
A one-month consulting engagement to help your teams move from product features to AI readiness, revenue loops, and measurable business value.
We work closely with your product, business, and leadership teams to understand your product in depth, identify where AI can create real customer value, assess monetisation readiness, and design revenue loops that can support adoption, retention, and growth.
Not sure where to start?
Book a 15-minute call with Hari. He'll tell you honestly which course fits your stage — or whether it's not the right time yet.
