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Finance Problems We Have Solved

Four Real Problems Brought To Us By Indian Finance Teams.
What The Problem Was. How We Solved It. What Changed.

Finance Problems We Have Solved

Faster and More Consistent Lending and Credit Decisions

The Problem

The Problem

Assessing the credit risk of a customer or business using quarterly and annual financial statements was slow and inconsistent.

What We Built

What We Built

We developed an AI-driven credit risk assessment solution that analyses quarterly and annual financial statements to determine the risk profile of a customer or business. The platform combines financial ratio analysis, balance-sheet evaluation, external data, and AI-based reasoning to generate an explainable risk assessment, supporting faster and more consistent lending and credit decisions.

What Changes

What Changes

Lending and credit decisions became faster and more consistent, supported by an explainable risk assessment rather than manual analysis.

Identifying Overbilling and Compliance Issues Before Payments Are Approved

The Problem

The Problem

Finance and procurement teams had no reliable way to verify whether supplier invoices complied with their corresponding contracts before approving payments.

What We Built

What We Built

We built a solution to verify whether supplier invoices comply with the corresponding contracts. It extracts and compares critical terms such as pricing, quantities, payment conditions, service periods, taxes, discounts, and contractual limits, highlighting deviations and missing information. This enables finance and procurement teams to identify overbilling and compliance issues before payments are approved.

What Changes

What Changes

Overbilling and compliance issues are identified before payments are approved, not after.

Reducing Manual Effort While Improving Processing Speed, Accuracy, and Control

The Problem

The Problem

Finance teams were handling complex and varied invoice formats manually, extracting data, checking for duplicates, matching against purchase orders and contracts, and entering validated data into ERP systems by hand.

What We Built

What We Built

We worked on an end-to-end invoice processing system capable of handling complex and varied invoice formats. The solution extracts and validates invoice data, checks for duplicates, compares invoices against purchase orders and contracts, identifies exceptions, and enables validated entries to be posted into ERP systems such as Tally and Zoho. It reduces manual effort while improving processing speed, accuracy, and control.

What Changes

What Changes

Manual effort reduced while processing speed, accuracy, and control improved. Validated entries post directly into Tally and Zoho.

GST Reconciliation Across Multiple Entities and Return Periods

The Problem

The Problem

Reconciling purchase invoice data from ERP systems against GST data from the government portal was a manual, time-consuming process, particularly for businesses and CA firms managing multiple entities and return periods.

What We Built

What We Built

We developed a GST reconciliation solution that brings together purchase invoice data from ERP systems and GST data from the government portal. The system standardises and reconciles records, classifies invoices as matched, unmatched, mismatched, or exception cases, and provides visibility into ITC eligibility and required follow-up actions. This helps businesses and CAs manage reconciliation efficiently across multiple entities and return periods.

What Changes

What Changes

Businesses and CAs can manage GST reconciliation efficiently across multiple entities and return periods, with clear visibility into ITC eligibility and required follow-up actions.