The Scale Story | Mehdi Nadifi at JPMorgan Chase & Co. | 2018
Delivered investment personalization within Chase's mobile banking platform.
Many Chase mobile users held cash but had not started investing. The opportunity was to make the next step more relevant through personalized prompts and education, without compromising the controls required in US banking.
- 33 millionChase active mobile users in 2018
- 15+cross-functional team members
- NationwideFinn by Chase launch support
- US banking regulation
The story in 30 seconds
The pressure
Encourage investing across a massive mobile audience while satisfying strict compliance and regulatory requirements.
The decisive move
Deliver an AI-driven personalization engine through one cross-functional product, engineering, data, design, compliance, and leadership team.
The result
A successful launch of the AI investment-personalization engine within Chase's mobile banking environment.
What was at stake
Chase reported 33 million active mobile users in 2018. This figure describes the platform's scale; the personalization work focused on defined customer groups. Personalized investment prompts needed to be relevant enough to change behavior and disciplined enough to operate within a highly scrutinized financial institution.
Scale could not justify generic communication, and regulation could not justify inaction.
The mandate
Mehdi delivered the AI-driven investment personalization engine for the Chase mobile application and led a cross-functional team of over 15 professionals across engineering, data science, UI/UX, compliance, product, senior leadership, and other stakeholders.
This work also supported the nationwide launch of the Finn by Chase application.
The decisive moves
Made education personal
The experience used personalized prompts and educational content to help users move from holding cash to considering investment actions.
Integrated compliance into delivery
Compliance and regulatory requirements were integrated into the cross-functional product process, allowing the team to operate at enterprise scale without separating ambition from control.
Aligned the full decision chain
Product, data science, engineering, UI/UX, compliance, and senior leadership worked through a unified delivery model. This alignment made personalization deployable within a national banking environment.
Results
- Successfully launched the AI investment-personalization engine.
- Delivered the agreed personalization experience within Chase's mobile banking environment.
- Delivered within strict US banking compliance and regulatory requirements.
- Led a cross-functional team of more than 15 professionals.
- Supported the nationwide launch of Finn by Chase.
What they got back
The ability to make a platform-scale experience feel personal without giving up control.
Customers received a clearer, more relevant first step into investing. The organization gained proof that personalization, enterprise scale, and rigorous governance can coexist.
Why this matters to your organization
High-stakes AI does not require choosing between scale and control. It requires a delivery model where product ambition, technical execution, and governance advance together from the start.