Industry
Banking and Financial Services
reconciliation process quality
cleared
Improved financial reporting and month-end close readiness
A large regional bank needed to modernize General Ledger reconciliation across 28 products and more than 2,000 GL accounts. Manual processes, inconsistent practices, and growing backlogs increased the risk of errors and delayed critical finance activities.
Altimetrik implemented a domain-led transformation combining standardized workflows, governance, automated data sourcing, and record matching. The initiative cleared more than 25,000 aged breaks, improved process quality to over 99%, and established a foundation for agentic AI-led exception management.
The reconciliation function relied heavily on manual effort, increasing the risk of human error. Processes varied across products, while unresolved breaks accumulated and affected financial reporting and P&L visibility. Strict deadlines and zero tolerance for inaccuracies placed further pressure on finance teams.
GL reconciliation ensures balances in the General Ledger align with deposits, loans, payments, and other source systems. Inaccurate or unresolved breaks could delay reporting, weaken audit readiness, and increase regulatory risk. The bank needed a controlled, scalable model that improved quality while reducing operational dependency.
Altimetrik executed a staggered product migration and structured ramp-up to reduce transition risk. Detailed Standard Operating Procedures standardized reconciliation activities, while governance, quality controls, and operational oversight improved accountability.
Dedicated initiatives cleared historical backlogs and removed aged breaks from the database. Automation streamlined data sourcing and record matching, reducing manual intervention across repeatable activities. This phased transformation maintained continuity across daily reconciliation while giving finance teams a consistent operating model for managing exceptions.
Altimetrik also proposed an agentic AI-led approach for break identification and resolution. Intelligent agents could analyze exceptions, identify potential causes, and support faster resolution with appropriate human oversight.
Raised reconciliation process quality to over 99% while strengthening governance and reducing manual errors.
Cleared more than 25,000 aged breaks, improving visibility into unresolved exceptions.
Improved financial reporting, audit readiness, P&L visibility, and month-end close preparedness.
Standardized workflows across 28 products, automated data sourcing and matching, and created a foundation for agentic AI-led exception management.
Altimetrik combined banking-domain expertise, process governance, intelligent automation, and agentic AI thinking to modernize a complex finance control function. By standardizing workflows, clearing aged breaks, and automating repeatable activities, Altimetrik helped the bank improve process quality, reporting readiness, and operational resilience at scale.
“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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