Case Study · Banking AI Co-Pilot

From Manual Tracking to an AI-Powered Smart-RM Co-Pilot

How I helped corporate banking Relationship Managers (RM) eliminate liquidity unbalance and proactively prevent relationship risk with AI.

2026 Duration: ~1 Month Corporate Banking
100%
SME Loan Opportunity Visibility
0
Ignored VIP Clients >90 days
1-Click
AI Script Generation

Background

In corporate banking, Relationship Managers (RMs) handle large portfolios of corporate clients. The branch faced a critical "Liquidity Unbalance": they had extremely high funding (Giro balances) but very low lending (SME Loans).

Despite the obvious potential, RMs were struggling to identify which clients to cross-sell to because the data was scattered. Furthermore, long-time loyal clients were being ignored for months, increasing the risk of churn to competitor banks.

"We had clients with billions in Giro but zero loans. By the time we realized they needed working capital, they had already moved to a competitor."

Challenges: The "Blind Spots" of RM

⚠️

Liquidity Imbalance

A massive gap between high Giro deposits and low SME loan penetration, leaving huge potential revenue on the table.

⏳

Relationship Risk

Loyal clients (>10 years tenure) were frequently ignored for over 90 days, increasing churn risk without the RM knowing.

📝

Manual Pitching

RMs spent hours drafting manual engagement and cross-selling scripts, leading to inconsistent messaging and delays.

The Solution: Smart-RM Co-Pilot

I designed and developed the **Smart-RM Co-Pilot**, an intelligent dashboard that turns scattered client data into actionable insights and ready-to-send AI communications.

System Preview
Corporate Banking Dashboard
A unified view displaying critical liquidity unbalances, SME loan opportunities, and prioritized alerts for at-risk VIP clients.
Smart-RM Co-Pilot Dashboard Screenshot

Hard Evidence: Before vs After

Before Implementation
Manual
RMs manually scoured Excel sheets to find cross-selling targets. High risk of ignoring 10+ year clients due to lack of visibility.
→
After Smart-RM
100% Auto
Dashboard instantly highlights "TARGET SME LOAN" and flags "CRITICAL" relationship risks with 1-click AI scripts ready to send.

Technologies Used

Streamlit
Pandas
Plotly Express
Python
AI Prompt Engineering

Long-Term Business Impact

Objective Targeting

RMs no longer guess who to call. The system directly targets accounts with high Giro balances and no active loans.

Zero Churn from Neglect

With color-coded SLA alerts on "Days Since Contact", no loyal client is ever left unengaged for more than 90 days.

Hyper-Personalization

The AI automatically drafts WhatsApp scripts based on the client's tenure, financial gap, and historical context.