AI-Enabled Account Reconciliation & Variance Reporting
Modernizing the Month-End Close for a $1.65B Credit Union
For accounting teams at financial institutions, the month-end close is one of the most resource-intensive recurring processes in the organization. United Heritage Credit Union (UHCU), a $1.65B credit union headquartered in Austin, Texas, recognized an opportunity to fundamentally modernize this process, not just by adding technology, but by introducing AI into the accounting workflow itself.
Sound Resources Group is partnering with UHCU to leverage its existing data warehouse infrastructure to support AI-enabled accounting functions through a third-party integration with FloQast, developed by CFGI. The result is a faster, smarter, and more auditable month-end close process.
The Challenge
Manual Accounting at Month-End
Month-end close is a persistent challenge for accounting teams across the financial services industry. At most institutions, the process demands significant time and attention from senior accounting staff:
- Manually matching transactions across systems
- Researching discrepancies and validating balances
- Preparing variance explanations for leadership review
- Managing a backlog of unreconciled items that accumulates throughout the month
The stakes are high, and errors in month-end reporting can have downstream impacts on financial statements, audits, and board reporting. Yet the work is largely repetitive, making it both error-prone and an inefficient use of senior talent.
Beyond the close process itself, finance teams often discover material variances late, relying on static thresholds and periodic reviews rather than continuous monitoring. This reactive posture limits the team's ability to catch issues early and intervene before they affect financial outcomes.
The Solution
AI-Powered Reconciliation via the Data Warehouse
SRG's approach centers on UHCU's existing data warehouse, updated intraday to ensure accounting workflows have access to current data throughout the month, not just at close. This foundation enables FloQast to deliver AI-powered functionality across three core areas:
Fast Month-End Closing
FloQast automates the most time-consuming elements of the close process:
- Automatic transaction matching across systems
- Anomaly identification and suggested reconciliations
- AI-drafted variance narratives ready for review and approval
The result is a meaningfully shorter close cycle, a reduced backlog of unreconciled items, and the ability to close the books earlier, giving leadership more timely financial visibility.
Automated Variance Detection
Rather than waiting for finance teams to identify variances through manual review, FloQast continuously monitors financial data for unusual patterns. The system can detect:
- Unexpected expense spikes or revenue fluctuations
- Duplicate accruals and missing entries
- Seasonal anomalies and branch or department outliers
- Hidden trends identified through comparison against historical patterns
High-risk variances are prioritized automatically, enabling the accounting team to focus investigation time where it matters most.
Reduced Manual Work for Senior Accounting Staff
Highly repetitive tasks that currently consume senior accounting talent, manual ticking and tying, spreadsheet work, exception categorization, and documentation gathering are handled by the system. This frees the team to focus on:
- Financial analysis and forecasting
- Strategic business partnership across the organization
- Higher-value exception review and decision-making
The Impact
A Smarter, More Scalable Accounting Function
By combining UHCU's real-time data warehouse with AI-enabled accounting tools, the partnership is expected to deliver measurable improvements across the close process and beyond:
Faster Close Cycle
- Reduced the month-end close time through automation
- Earlier book closing enables more timely financial reporting
- Fewer manual journal adjustments required
Smarter Exception Management
- High-risk variances surfaced automatically
- Better audit readiness through structured documentation
- Prioritization of team effort on genuine exceptions
Improved Accuracy
- AI matching reduces human error in reconciliation
- Continuous monitoring catches issues before they compound
- Consistent logic applied across all transactions
Scalability Without Headcount
- Growing transaction volume handled without linear staffing increases
- Improved data quality benefits teams across the organization
- Operational capacity expands as AI handles more routine work
Looking Ahead
This partnership represents a foundational shift in how UHCU approaches its accounting function, moving from a reactive, labor-intensive process to a proactive, AI-assisted workflow that scales with the organization. As the integration matures, UHCU will gain deeper insight into financial trends, stronger audit readiness, and a more empowered accounting team focused on strategy rather than manual reconciliation.
“Sound Resources Group (SRG) was the best partner choice United Heritage Credit Union could have made to transform our fragmented data into insightful visualizations. The SRG team has assisted to standup our Datawarehouse and PowerBI visualization tool. We started our data journey less than a year ago, and SRG has surpassed all internal expectations on where we are today and we have just got started in serving our membership in a more meaningful and personal manner. ”
– Troy Garry
Chief Financial Officer | United Heritage Credit Union