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AI-Enhanced DesignEnterprise UXFinancial ServicesDesign ThinkingUX Research

AI-Powered Relationship Management for a Regional Commercial Bank

Duration: 3 weeks (excluding audit)
Users: 70–100 commercial relationship managers
Industry: Commercial banking

Sound familiar? “Our team spends more time pulling data from different systems than talking to clients.”

Output

High-fidelity Figma prototype with custom components demonstrating AI-powered signal management, loan pricing simulation, and client opportunity prioritization for commercial banking relationship managers.

MacBook Pro displaying SmartBanking.AI loan pricing scenario interface — showing the Alvarez, Nguyen and Barry Group client account with $81K revenue, revolving credit and term loan configuration fields, advanced risk parameters, and an AI-generated target pricing calculation with cost-of-funding breakdown and price realization chart

Impact

27% improvement in banker-client engagement efficiency, measured by the client after rollout

Surfaced high-value opportunities and attrition risk signals that were previously buried in siloed data systems

"I would have Lucas on my team again in a heartbeat." — Senior Partner & Managing Director

Problem

Relationship managers at a regional bank were responsible for maintaining and growing a complex client portfolio — but the tools available to them required manually pulling data from multiple disconnected systems, with no unified view of client signals, credit exposure, or revenue opportunity. High-value alerts were missed. Loan pricing was inconsistent. Time was spent on data retrieval rather than client engagement. The bank needed a design that could demonstrate what AI-powered relationship management could look like — quickly enough to get leadership buy-in.

Approach

1

Conducted a rapid 3-day audit of the existing platform to establish a baseline

2

Led design thinking workshops with data scientists, engineers, business stakeholders, and senior leadership to align on priorities

3

Tied task flows and user stories to core business goals: trust-building, revenue growth, and portfolio risk management

4

Designed a Figma prototype with custom components within a 3-week timeline to demonstrate the vision at fidelity sufficient for leadership review and sign-off

Solution

A relationship manager dashboard that surfaced AI-ranked opportunities — as prioritized, actionable items rather than buried data points. A loan pricing simulation allowed bankers to explore data-driven loan terms in real time, with visibility into customer acceptance probability and revenue impact. The result was a design that showed what banker productivity could look like when AI handled the signal aggregation and humans handled the relationship.