Delfi Labs

AI-powered Financial Reporting & Management Platform

USA Finance & Banking web Predictive analytics

After 6 months of intense collaboration with the client, Linkup Studio has crafted an MVP of the Delfi platform. This unique tool fills a gap in the market, supplying small to mid-tier US banks with features that were earlier only accessible to industry giants. Thanks to Delfi, these institutions can now analyze their current situation and receive top-quality, data-driven future predictions and evaluations.

Currently, over 20 banks are giving Delfi a test run and incorporating it into their processes. They've noted some significant benefits from the platform, supported by the Linkup Studio team. For many, Delfi is proving invaluable, creating thousands of realistic market scenarios and assessing the vulnerability of banks' balance sheets in less than 10 seconds instead of days. It also drastically reduces the volatility of key performance metrics by up to 99%. Overall, by tailoring their financial strategy with Delfi, organizations are moving toward an additional 1% in net interest margin and reaching their desired risk-reward frontier.

MVP delivered:

In 6 Months

Total product duration:

Dec 2022 - Jun 2023

Involved Team:

12 members

Discover how Linkup Studio designed a unique platform that's shaking up the banking industry in the US

ClIENT & BUSINESS CHALLENGE

Identifying Challenges and Amplifying Opportunities for Small Banks

Our clients are highly experienced economists and data scientists with prestigious backgrounds in institutions such as the US Department of State, the US Treasury, and the White House. They identified a significant gap in the banking industry.

As of March 2023, the US is home to 4,512 community banks, accounting for 97% of all banks in the country. While major players have access to automated tools for their predictive and analytical tasks, small to mid-tier banks often need help. They typically maintain small departments dedicated to gathering data and producing extensive statistics in large PDF files. This format is not only rigid and challenging to navigate but also hinders forecasting due to its inherent limitations. Moreover, it doesn't allow real-time statistics where changes are immediately visible upon updating current balance sheets. These hurdles complicate the decision-making process, making it difficult to act intelligently based on available information.

Recognizing this, they turned to Linkup Studio. They sought a professional team capable of bringing design and development expertise to the table and launching an MVP. This product had to feature a set of fundamental tools to help banks become more effective and cost-efficient, eliminating the need for maintaining unproductive processes.

Read full case study

PROJECT DESCRIPTION

Breaking Barriers in the Construction of the Delfi Platform

To address the particular issues faced by small and mid-tier banks and craft a practical, user-friendly solution, we at Linkup Studio took on a range of complex tasks:

  • Deciphering Initial Banking Reports: The banking industry is a labyrinth of complexity. This required considerable effort to demystify the processes, understand the nuanced details, and identify the crucial information. Then we had to determine the most intuitive way to present this information on the Delfi platform, all while balancing comprehensiveness and clarity.
  • Constructing a Logical Sitemap: Building an effective site navigation system was a task that demanded an in-depth understanding of each step and its value to bank analytic customers. Creating a smooth, intuitive user journey required carefully arranging a proper hierarchy to ensure that important tasks were not buried under less critical operations.
  • Designing Data-Rich Dashboard Visualizations: Banks' balance sheets are filled with an intimidating array of columns and rows. Our team had to immerse itself in this sea of data, understanding the purpose and significance of each piece of information. Then we had to clarify this mass of data into concise, compelling dashboard visualizations, requiring a keen eye for detail and a clear understanding of user priorities.
  • Facilitating Step-by-Step Projection Creation: Creating a compelling user experience was a challenge in its own right. We had to make it simple for managers to project changes in market conditions and configure predictions for specific bank policy scenarios, all while ensuring the interface remained intuitive and user-friendly.
  • Carving out a Design Style & UI Kit: It took several iterations and constant refining to determine a visual style that would resonate with users and enhance their experience with Delfi. 
  • Fostering Collaboration with the Development Team: To ensure the successful execution of the project, we had to maintain cooperation with our client's team and their engineers. We had to share our vision to align the development process perfectly with the interface design.
Project Overview

1 Week

Process

  • Learning the project, understanding the idea, business, scope, etc.

Deliverables

  • Project overview

Initial
Communication

Initial
Analysis

Discovery

8 Weeks

Process

  • Analyzed target audience
  • Conducted market research
  • Conducted ideation session for main functionality using user stories
  • Prioritized modules and features
  • Prepared requirements for the design phase
  • Designed the information architecture
  • UX Testing
  • Prepared scope for estimation
  • Conducted estimation session
  • Formed MVP based on client`s budget and timeline frames

Deliverables

  • User story map
  • Priorities plan
  • Specification for design
  • User flow
  • Wireframes in Figma
  • Development plan with cost and timeline estimation

Business
Analysis

UX
Design

Development
plan

Pilot Release

6 Months

Process

  • Designed user interface and other components
  • Described specification
  • Development
  • QA
  • Final design review and fixes
  • Users review and enhancements
  • Release

Deliverables

  • UI design in Figma, UI kit
  • Developed and verified system, landing and admin panel

Adjustments &
New Functions

Define User Feedback
& Client Requirements

Record
Changes

Testing
& Review

Development

UI/UX
Design

Sprint
Planning

Commercialization

3 Months

Process

  • Designed user interface and other components
  • Described specification
  • Development
  • QA
  • Final design review and fixes
  • Users review and enhancements
  • Release

Deliverables

  • UI design in Figma, UI kit
  • Developed and verified system, Landing and Admin panel

Early
Planning

Launch

Software
Engineering

Quality
Assurance

Project Overview

1 Week

  • Initial Communication
  • Initial Analysis

Discovery

8 Weeks

  • Business Analysis
  • UX Design
  • Development plan

Pilot Release

6 Months

  • Adjustments & New Functions
  • Define User Feedback & Client Requirements
  • Record Changes
  • Testing & Review
  • Development
  • UI/UX Design
  • Sprint Planning

Commercialization

3 Months

  • Early Planning
  • Launch
  • Software Engineering
  • Quality Assurance
Skip section

Project Overview

1 Week

Process

  • Learning the project, understanding the idea, business, scope, etc.

Deliverables

  • Project overview
two
one

solution

Unveiling the Delfi System's Transformative Power in Banking

In response to the client's needs and goals, Linkup Studio designed the user experience and partially developed the Delfi system within the projected timeline.

This system empowers banks to upload detailed balance sheets with information about available loans, deposits, etc. The system quickly processes this information, transforming it into an easily digestible, visualized dashboard complete with summaries, graphics, and diagrams.

With the data gathered, banks can create future projections based on foreseen market changes and their planned interest rate policies. This process allows them to forecast their balance sheet status after a specified period. This is where Artificial Intelligence comes into the picture. The sophisticated algorithms examine the current status, evaluate the proposed projections, and deliver enhanced forecasts. These forecasts are based on the client's economic knowledge as well as an analysis of other bank cases. The AI also generates descriptions of the new projections, providing explanations and suggesting steps banks can take to improve their balance. Currently, the clients are evolving the platform further to meet an expanding set of banking needs and challenges.

Technology Stack:

Next.JS

ReactJS

AWS

AWS

Node.js

PostgreSQL

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