AI product strategy and customer experience
Discover the product.
Design the experience.
Win the market.
A consultancy engagement for product, design and marketing leaders. Find the real problem worth solving, design a best-in-class experience around it, and use AI to build the next generation of your product.
Most products fail not because they were built badly, but because they were the wrong product, with the wrong experience, marketed to the wrong customer. AI changes the surface area, not the rules. The teams winning right now combine sharp discovery, opinionated CX craft, and AI used as a primary material - not a feature bolted on. This engagement is built for leaders who want all three, integrated.
Expertise in
practice
Concrete engagements drawn from two decades of building, scaling and exiting ventures - and from operating playbooks refined across McKinsey, exited founders and the Digit Two network.
Discuss an engagementJobs-to-be-done interviews, opportunity sizing and wedge selection. The engagement ends with one problem worth solving and the cohort that will pay for it.
End-to-end experience design - flows, surfaces, micro-interactions and content - benchmarked against the products users actually love.
Where LLMs, agents and ambient AI genuinely change the experience - and where they don't. AI is treated as a primary design material, not a marketing layer.
Positioning, narrative and the first three growth loops. So the product you ship is the product the market hears about.
Componentised, themable, AI-friendly. Build once, ship across web, app and conversational surfaces.
Working prototypes in days, not quarters. Real users in front of real screens before code is written for production.
Approach
Discover
Two weeks of customer interviews, competitor teardown and AI-opportunity mapping. Output: one wedge, one cohort, one hypothesis.
Design
Four weeks of CX and AI-native product design. End-to-end flows, prototyped and tested with users.
Validate
Live prototype in market with 20-50 target users. Quant + qual evidence to lock the spec before build.
Hand off
Production-ready design system, AI patterns, and a positioning doc your marketing team can ship on day one.
Gold standard,
not guesswork.
Two decades of shipping product and a front-row seat to the AI shift. The pattern that compounds: discover narrow, design opinionated, prototype fast, market the wedge - then scale.
Median activation improvement when CX is rebuilt around the real job-to-be-done.
From kickoff to a tested design that engineering can build with confidence.
Every AI surface delivered earns its place in the user's workflow.
The right moment
You ship a lot but retention is flat. You need discovery and a sharper wedge, not more roadmap.
Your category is being reshaped by LLMs and agents and you need a partner who has designed AI-native from zero.
Positioning, narrative and product spec are out of sync. One integrated team closes the gap.
Founder & Senior Advisor
Dipesh Savani
Dipesh Savani founded Digit Two after more than two decades building, scaling and advising ventures across SaaS, fintech, healthtech and B2B services. An exited founder and ex-McKinsey advisor, he works with founders on the decisions that compound: distribution, capital strategy and the operating discipline behind enduring companies.
His work spans venture creation, corporate innovation and guidance for founders preparing to scale or exit. Through Digit Two, he leads thesis development, founding-team formation and a network of senior advisors.
Ready to find
the real product?
If you want a consultancy that owns discovery, CX and AI together - not three vendors stitched into one slide - start a conversation.