AI for financial literacy in fintech
For a fintech, education is not a side project. People adopt savings, investing, credit, and insurance only when they understand them, so in-app education is a direct activation lever. The problem is that most of it never gets finished.
Most in-app education lives as long, help-center style articles that are formal, buried, and rarely finished. Getting it to actually land is partly a product problem and partly a place where AI can help, as long as it is pointed at learning rather than time spent. This is a practical look at why education is an activation lever, where AI genuinely helps, and how we approached it inside a large mobile wallet.
Why in-app education is an activation lever
When a platform serves many people who are new to formal finance, the growth that matters is helping transactional users take the next step into products like savings or credit. Those products get adopted when people understand them, which makes education a lever on activation and not a compliance checkbox. Treating it that way changes what you build and how you measure it.
The education that already exists in most apps is written to inform, not to be finished. It is long, formal, and disconnected from the moments where someone actually makes a money decision. The few who start tend to leave before the end, and there is no feedback, no sense of progress, and no link between a lesson and the action it should unlock.
What works, and where AI helps
The design principle that matters is simple: measure learning completed, not time spent. A game-like experience that people finish, with clear progress and feedback, tied to the moment a decision is made, does the activation job that a buried article cannot. Get that right first, because no amount of AI fixes education that is built to be long rather than to be finished.
Within that design, AI extends what is possible:
Adapting the path to someone's level and the product they are closest to adopting, so the lesson is relevant.
Adjusting difficulty as someone learns, so they are neither bored nor lost.
Meeting people at the moment of a money decision with the right short lesson.
Generating and tailoring variations so material stays fresh, under human review.
The goal is that people learn and act, not that they spend more time in the app. Optimise for learning completed and real decisions made, and keep the design free of dark patterns.
What we did for Overview Effect
Overview Effect brought us in to lead product on a financial-literacy learning experience inside GCash, the dominant mobile wallet in the Philippines. Our remit was to design a game-like system people would actually finish, built on one rule: measure learning completed rather than time spent. It replaced long, buried articles that few people opened and fewer completed.
Read the Overview Effect case studyHow to start without overcommitting
Pick one product you want people to adopt, and design the shortest game-like path that genuinely teaches the decision behind it, measured on completion and on the action it unlocks. Add personalisation and contextual delivery once the core experience is finishable. The aim is narrow: turn education from a buried article into a lever that moves people to the next product, without resorting to engagement tricks.