Pi Case Management

The Case Management Platform serves as a comprehensive solution harnessing the power of AI, big data, and machine learning to proactively prevent and swiftly address fraud. This essential tool is utilised by all Pi users, including fintech giants Paytm and PayPay.

    • DRI (designated responsible individual)

    • Design Strategy

    • User Research

    • Prototyping

    • Product Design

    • Design System Contributor (along with the very talented Angelo Yue & Bethany Boss)

    • P. Devendra Kumar - Senior Product Manager (India)

    • Sireesha Nambigari - Senior Product Manager (Canada)

    • Sankarshan Mudkavi - Senior Product Manager (Japan)

    • Pallav Verma - Technical Product Manager (India)

    • Deepan Goyal - Technical Product Manager (India)

    • Sky Wang - Director of Frontend Engineering (Canada)

    • Pavan Kumar - Director of Frontend Engineering (India)

    • Rahul Sharma - Director of Backend Engineering (India)

    • Kumar Girish - Lead Engineer (India)

    • Shubham Paliwal - Lead Engineer (India)

    • Sanket Gupta - QA (India)

    • Ravisher Singh - QA (India)

    • Aditya Pandey - QA (India)

    • Bethany Boss - Brand Creative Director (America)

    • Elena Verling - Design Lead (Canada)

  • The main user of Case Management is a risk analyst or risk ops-related person who is responsible for resolving open cases and customer inquiries (i.e why was my transaction blocked or why can’t I log in).

Challenges & Opportunities

  • Losing $$$

    The average fintech company loses $51 million annually to fraud. A case management platform to halt fraud was a vital opportunity.

  • Data Overload & Fragmentation

    Many teams struggled to manage vast amounts of data from various sources, leading to information silos and hindered analysis.

  • Turnaround Time (TAT)

    A majority of cases underwent manual review, a time-consuming process that led to an increased rate of undetected fraud.

  • Too Many Platforms

    Teams face the challenge of analyzing fraud on one platform and transitioning to another for necessary actions.

  • Lack of Collaboration

    Investigative teams often work in isolation, resulting in delayed response, missed opportunities, and inefficient processes.

  • Inefficient Auditing

    Financial reporting was very tedious and time consuming, as each team had their own way of managing fraudulent cases.

User interviews

I flew from Toronto ✈︎ Noida to conduct user interviews, with 20 risk analysts from each of Paytm’s fintechs over the course of one week.

My objective was to understand how each team handled cases, identify their challenges, and discover opportunities for improvement.

I documented the current user flows of teams engaged in case management, revealing commonalities in their processes.

How might we

Develop a versatile SaaS solution tailored to empower a diverse spectrum of fintech enterprises?

I conducted comprehensive research to define the MVP for the product. This MVP needed to be highly adaptable, given the diverse sets of data across different Lines of Business. For instance, ‘Payment Gateway’ focused on transaction data, while ‘Lending’ emphasised credit history.

To shape the MVP, I consolidated insights obtained from my interviews and identified recurring trends. Following this, I created a task list in collaboration with team leads. Additionally, I generated clear user flowcharts that outlined essential actions and compiled a list of necessary table items.

In the final stages, I engaged in a thorough discussion with the CEO and technical directors. This involved examining all user flows and ensuring technical feasibility to align with company Key Performance Indicators (KPIs).

User flow contains commercially sensitive data which has blurred below.

Low to high-fidelity

After synthesizing the research findings, I focused on a particular P2M team, responsible for handling 30% of all fraud cases.

At this stage, effective collaboration is pivotal among the tech teams, the machine learning team, and design (myself).

Drawing from my user research findings, I championed the user's perspective, strategically placing API calls on each page according to the specific information users anticipate or require at various points. Technical feasibility and loading times were carefully considered throughout.

As the designs evolved, I consistently validated the progress from low to high fidelity prototypes.

Dashboard Features

Case Features

Business Impact

  • Saving $$$

    This platform successfully protects Paytm & PayPay’s portfolio of fintechs, saving millions of dollars annually rom fraud attempts.

  • Simplified Platform

    Teams no longer struggle to manually consume large quantities of data from various sources. Each case offers a 360° data view automatically.

  • Turnaround Time (TAT)

    The turnaround time has gone from 1 hour, to less than 15 mins to resolve a case, thanks to the enhanced visibility into fraudulent activities.

  • Safest Platform

    The Case Management Platform efficiently manages and resolves fraud incidents better than ever, which has established Paytm as one of the safest platforms in India.

  • Better Collaboration

    Teams no longer work in isolation thanks to the Case Management Platform. This has reduced missed opportunities, more efficient processes and faster response times.

  • Efficient Auditing

    Fraud reporting is now streamlined, eliminating manual methods from multiple teams. A centralized system enables efficient auditing of reported fraud across Paytm, simplifying financial reporting.