Advenno built FinGuard, an automated compliance platform for Keystone Credit Union that maps 23 regulatory frameworks, auto-generates reports from live data, and provides real-time risk dashboards. Reporting time dropped 85% and the institution achieved zero findings in its annual audit.
The Challenge
Keystone Credit Union had grown steadily to $2.8 billion in assets and 185,000 members, but its compliance infrastructure remained rooted in manual processes designed for a much smaller institution. The 14-person compliance team was responsible for adherence to 23 distinct regulatory frameworks — from Bank Secrecy Act and anti-money laundering rules to fair lending, data privacy, and consumer protection regulations. Each framework required different reports at different intervals with data pulled from different source systems. The team maintained a 47-page spreadsheet tracking 312 individual compliance obligations and their deadlines throughout the year. Report preparation required extracting data from the core banking system, loan origination platform, deposit system, card processing platform, and three other operational systems — none of which shared a common data format. Analysts spent days reconciling figures across systems before even beginning to assemble the required reports. The manual nature of this work produced a 94% accuracy rate — seemingly high, but in regulatory reporting, even small errors can trigger examination findings. Two such findings in the previous year resulted in a $340K fine, a mandatory remediation program costing an additional $180K, and — perhaps most damagingly — a loss of goodwill with the NCUA examination team that would subject Keystone to heightened scrutiny for years. The compliance team was so consumed by mandatory reporting that proactive risk monitoring was essentially nonexistent. Emerging risks in areas like cybersecurity, vendor management, and digital banking went unmonitored because every available hour was dedicated to meeting the next regulatory deadline.
- 23 regulatory frameworks requiring 312 individual compliance obligations tracked in a 47-page spreadsheet
- 4,200 staff hours annually consumed by manual report preparation from 7 disconnected source systems
- 94% report accuracy rate — seemingly high, but producing enough errors for 2 regulatory findings and a $340K fine
- $340K fine plus $180K remediation program plus reputational damage with NCUA examination team
- Zero capacity for proactive risk monitoring — compliance team permanently in reactive reporting mode
- Data reconciliation across 7 systems required days of manual effort before report assembly could even begin
Our Solution
Advenno built FinGuard as a purpose-designed compliance automation platform with three core layers: data integration, rules engine, and reporting automation. The data integration layer uses Apache Airflow to orchestrate scheduled and event-driven data extraction from all 7 source systems — core banking, loan origination, deposit platform, card processing, wire transfer, ACH, and member services — into a unified compliance data warehouse updated every 15 minutes. A comprehensive data quality framework validates every record against 180 business rules, flagging anomalies for human review before they propagate into reports. The rules engine codifies all 312 compliance obligations from 23 frameworks into executable business logic, continuously evaluating incoming data against regulatory thresholds and generating alerts when metrics approach or exceed limits. Report generation is fully automated — FinGuard produces reports in the exact formats required by each regulator, pre-populated with validated data, including all supporting schedules, footnotes, and cross-references. A review workflow routes auto-generated reports to the appropriate compliance officer for verification before submission, with change-tracking that shows exactly which data elements differ from the previous period. Real-time dashboards give the Chief Compliance Officer and executive leadership instant visibility into the institution's regulatory posture, with drill-down capability from summary risk scores to individual transaction details. The platform also maintains a complete audit trail of every data transformation, validation check, and report version — providing examiners with full transparency into how each reported figure was derived.
- Automated data extraction from 7 source systems into a unified compliance warehouse updated every 15 minutes
- Rules engine codifying 312 obligations from 23 frameworks with continuous threshold monitoring and alerts
- Auto-generated regulatory reports in exact regulator-specified formats with all supporting schedules
- 180 data quality validation rules catching anomalies before they reach reports
- Real-time compliance dashboards with drill-down from risk scores to individual transactions
- Complete audit trail for every data transformation, validation, and report version
- Review workflow with change-tracking showing period-over-period differences for efficient verification
Our Approach
Regulatory Requirements Mapping
Worked with Keystone's compliance team and an external regulatory consultant to decompose all 23 frameworks into 312 discrete obligations with specific data requirements, calculation methodologies, submission formats, and deadlines. This regulatory map became the specification for the rules engine and report templates.
Data Integration Architecture
Built automated data pipelines connecting all 7 source systems using a combination of database replication, API integration, and secure file transfer. Designed the compliance data warehouse schema to support both current reporting needs and anticipated future requirements from proposed regulations. Achieved a 15-minute data freshness SLA across all sources.
Rules Engine & Validation Framework
Codified each of the 312 compliance obligations as executable rules in the platform's engine. Built 180 data quality validations that catch common issues — duplicate transactions, missing fields, out-of-range values, cross-system inconsistencies — before they reach reports. The validation framework was calibrated against 3 years of historical examination findings to ensure it catches the specific error patterns regulators look for.
Report Template Development
Created auto-generation templates for all recurring regulatory reports — Call Reports, BSA/AML SARs, HMDA LAR, CRA submissions, and 19 others. Each template was validated against regulator specifications and reviewed by Keystone's compliance officers and their external auditor to ensure accuracy and completeness.
Parallel Run & Examination Preparation
Ran FinGuard in parallel with manual processes for one full quarter, comparing auto-generated reports against manually prepared versions. FinGuard matched or exceeded manual accuracy in 100% of reports and caught 3 errors that the manual process had missed. Prepared a comprehensive examination package demonstrating the platform's methodology, controls, and audit trail for NCUA reviewer acceptance.
The Results
FinGuard delivered immediate and substantial impact on Keystone Credit Union's compliance operations. Annual staff hours dedicated to regulatory reporting dropped from 4,200 to 630 — an 85% reduction that freed the compliance team from the grinding cycle of manual data extraction and report assembly. This capacity was redirected to proactive risk monitoring, with the team establishing continuous surveillance programs for cybersecurity, vendor management, and fair lending — areas previously neglected due to time constraints. Report accuracy improved from 94% to 99.8%, with the 0.2% representing formatting edge cases that were caught and corrected during review workflows. In the annual NCUA examination following FinGuard's deployment, Keystone received zero regulatory findings — the first clean examination in three years. Examiners specifically noted the quality of the platform's audit trail and the institution's ability to answer follow-up questions with drill-down data in real time during the examination, rather than requesting days to pull additional information. The proactive alert system caught 47 potential compliance issues in its first year — including a vendor data handling practice that would have violated new CFPB privacy rules — before any of them escalated to examination-level severity. The board of directors cited FinGuard as a key factor in approving Keystone's strategic plan to grow to $4B in assets, confident that the compliance infrastructure could scale without proportional headcount increases.
Return on Investment
Technologies Used
Integrations
FinGuard transformed our compliance function from a cost center into a strategic asset. For the first time in three years, we received a clean examination with zero findings. Our team now spends their time on proactive risk management instead of assembling spreadsheets, and the board has the confidence to pursue our growth strategy.
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Lessons Learned
- Mapping all 312 regulatory obligations before writing any code was essential — attempting to automate poorly understood requirements would have produced automated errors
- The parallel quarter-long run was non-negotiable for a regulated institution — the compliance team needed mathematical proof the system was accurate before trusting it
- Data quality validation rules calibrated against actual examination findings were far more effective than generic checks
- Building the examination package proactively — showing methodology and audit trails — turned the NCUA review of the new system into a positive rather than a risk
Summary
Advenno built FinGuard, an automated compliance and reporting platform for Keystone Credit Union, a $2.8B institution. The platform maps 23 regulatory frameworks, auto-generates reports from live data across 7 systems, and provides real-time compliance dashboards. Reporting time dropped 85%, accuracy reached 99.8%, and the institution achieved its first zero-finding examination in three years.
Key Takeaways
- Automating data extraction from 7 source systems eliminated the reconciliation bottleneck that consumed most of the compliance team's time
- The 180 validation rules were calibrated against 3 years of actual examination findings — catching the specific error patterns regulators look for
- Running in parallel for a full quarter built institutional confidence and caught 3 errors the manual process had missed
- The audit trail became the most valued feature during examination — enabling real-time drill-down that impressed NCUA reviewers
- Proactive monitoring caught 47 potential issues including a vendor privacy violation that would have been a significant finding
Frequently Asked Questions
Key Terms
- BSA/AML
- Bank Secrecy Act and Anti-Money Laundering — federal regulations requiring financial institutions to detect and report suspicious transactions that may indicate money laundering, fraud, or terrorist financing.
- SAR
- Suspicious Activity Report — a document filed with FinCEN when a financial institution detects potentially suspicious or unusual transaction activity.
- RegTech
- Regulatory Technology — the use of software and automation to help financial institutions comply with regulations more efficiently and accurately than manual processes allow.
Facts & Statistics
Sources & Citations
- Wolters Kluwer: Cost of Compliance 2025
- NCUA 2025 Examination Priorities
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