Transforming GL Reconciliation for a Large Regional Bank with Agentic AI

Altimetrik helped a large regional bank achieve over 99% GL reconciliation accuracy by automating finance operations using intelligent automation and an agentic AI-led approach.

January 19, 2026
5 minute read
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Overview

GL Reconciliation is a critical finance controller function that ensures balances in the bank’s General Ledger (GL) align with underlying sub-ledgers and source systems such as deposits, loans, and payments. The client supported 28 products with 2000+ GL accounts, all requiring daily reconciliation to ensure financial integrity, regulatory compliance, audit readiness, and timely financial reporting.

Business Challenge

The client’s GL reconciliation function faced multiple operational challenges:

  • Heavy reliance on manual reconciliation, resulting in human-induced errors
  • Lack of standardization across products and reconciliation processes
  • Strict timeline dependency with zero tolerance for inaccuracies
  • Growing backlog volumes across multiple products impacting financial reporting and P&L

The Solution

A domain-led transition was executed mitigating any possible risks deploying staggered migration of products and a structured ramp-up approach.

Key solution components included:

  • Creation of detailed SOPs to standardize reconciliation steps
  • Establishment of strong governance and operational controls
  • Dedicated initiatives to clear backlog volumes and remove aged breaks from the database
  • Automation for data sourcing and auto-matching of records
  • Proposal of an agentic AI approach for break identification and resolution

The solution demonstrates how Digital Operations Transformation and Intelligent Automation can help improve process efficiency, accuracy, and operational resilience in finance operations.

Business Outcomes

  • Clearance of 25000+ backlog volumes of aged breaks.
  • Process Quality upliftment improved to >99%
  • Improved readiness for financial reporting and month-end closing

Summary

An automated and governance-driven reconciliation approach supported and standardized critical workflows, enabled automation for data sourcing and matching, and cleared significant backlog volumes. This improved process quality to >99%, strengthened reporting readiness, and enhanced operational resilience for a large bank

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Amit singh

“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.

With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.

Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”

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