Tericsoft Partnered with Fourth Signal to Build an Al-Powered Treasury Intelligence Platform

We Partnered with a Financial Firm to Build an AI-Powered Treasury Intelligence Platform

Timeline

2025 - Present

Country

India

20+

AI Insights across treasury

30%

Less manual analysis

15–20%

Earlier risk signals

client’s Mission

Enabling Faster and More Informed Treasury Decision-Making for Financial Institutions

Their aim is to help NBFCs, banks, and financial institutions gain clearer visibility into their treasury operations and funding structures. As treasury environments become increasingly complex, finance leaders must analyze large volumes of borrowing, liquidity, and exposure data to make timely decisions.

challenge 1

Fragmented Treasury Data Across Multiple Financial Systems

Treasury teams relied on spreadsheets, SAP/ERP reports, public and banking data to analyze borrowing and liquidity. This fragmented environment made it difficult to get a consolidated view of funding costs, lender exposure & repayment timelines, slowing down decisions

challenge 2

Bottlenecks in the Compliance & Licensing During HCP’s Onboarding

CFOs and treasury leaders frequently reviewed complex financial datasets to understand borrowing costs, portfolio exposure, and market rate changes. The manual analysis required multiple iterations, delaying insights and slowing critical financial decisions.

Fourth Signal's Challenge 2: Time-Consuming Manual Analysis for Treasury Decision Making

challenge 3

Limited Visibility into Early Risk and Exposure Signals

Key indicators like refinancing risk, lender concentration, and rate volatility were buried in reports. Without automated insights, treasury teams struggled to detect early warning signals.

Tericsoft x Financial Firm

Tericsoft Partnered with a Financial Firm to Build AI-Powered Treasury Intelligence

solution 1

Built an AI-Powered Treasury Platform for Financial Institutions

Developed a centralized AI-powered platform to analyze treasury transactions, borrowing structures, and liquidity data. It turns financial data into insights, helping CFOs and treasury teams assess funding positions, lender exposure, and portfolio performance.

Fourth Signal's Solution 1: Built an Al-Powered Treasury Platform for Financial Institutions

solution 2

Automated Portfolio Analysis & Detected Risk Signals using AI

An intelligent analytics layer auto-classifies treasury data and flags early risk signals. It monitors borrowing costs, maturity timelines, and lender concentration, generating alerts so finance teams can proactively manage exposure and compliance risks.

solution 3

Experience-Driven Mobile App for Faster Shift Fulfillment

AI-generated summaries convert complex treasury data into clear recommendations. Finance leaders can quickly review liquidity, funding trends, and refinancing exposure, enabling faster, more confident decisions.

SUCCESS STORY

Accelerated Treasury Decision-Making with AI

The Treasury Intelligence platform enabled finance leaders to quickly analyze borrowing structures, liquidity exposure, and funding costs, helping teams make faster and more confident decisions.