Industry
Financial Services
Challenge
The Bank processes over 800,000 check deposits per month. Its analysts relied on broad thresholds to determine which flagged deposits required manual review, resulting in a disproportionate amount of analyst time spent on reviews and a high rate of false positives.
Results
Following CheckDetect deployment (Q1 2025), the Bank saw measurable improvements across analyst workload, review queue efficiency, and loss exposure.
Key Product
CheckDetect
With no item-level risk score, analysts relied on broad thresholds to decide which flagged deposits needed manual review. This created three compounding problems:
- High Review Volume - 13.4% of Mobile deposits required manual analyst review — translating to approximately 17K items requiring review each month, a volume that was far beyond what a small team could efficiently process.
- High False-Positive Rate - The majority of reviewed items turned out to be legitimate. Not only did analysts need to release the holds on these items, but the process also created an unnecessary inconvenience for customers.
- High Staffing Pressure - An average of 1.6 FTE and 230+ analyst hours per month were dedicated solely to reviewing holds — a significant operational cost with limited fraud yield.
The CheckDetect Solution
Following CheckDetect deployment (Q1 2025), the Bank saw measurable
improvements across analyst workload, review queue efficiency, and loss exposure.
Analyst Hours per Month: Baseline vs. Post-Deployment
| Period | Avg Analyst Hours / Month | vs. Baseline |
| 2024 Baseline (Jan–Dec) | 230 hrs | — |
| 2025 Post-Deployment (Jan–Dec) | 206 hrs | ↓ 11% |
| 2026 YTD (Jan–Apr) | 194 hrs | ↓ 16% |
Mobile Deposit Review Rate
The percentage of mobile deposits requiring analyst review dropped dramatically following deployment — from an average of 13.4% to 5.7%, a 58% reduction.
| Period | Avg Mobile Review Rate | vs. Baseline |
| 2024 Baseline | 13.4% | — |
| 2025 Post-Deploy | 5.7% | ↓ 57% |
| 2026 YTD (Jan–Apr) | 5.5% | ↓ 59% |
Key Outcome Metrics (2024 Baseline → 2025–2026)
| Metric | 2024 Baseline | 2025–2026 Result | Change |
| Analyst Hours / Month | 230 hrs | 206 hrs | ↓ 11% |
| Mobile Deposit Review Rate | 13.4% | 5.7% | ↓ 58% |
| Loss Rate (% of deposits) | 0.0059% | 0.0029% | ↓ 51% |
| FTE Dedicated to Hold Review |
1.62 | 1.25 | ↓ 23% |
| Customers Impacted / Month | 271 | 257 | ↓ 5% |
The Results
- From High Review Volume to Targeted Review
Every check deposit now receives a real-time, item-level risk score instead of relying on broad hold thresholds, allowing analysts to focus on deposits that require attention. - From High False-Positive Rates to More Meaningful Signals
The analyst review queue decreased from 13.4% to 5.7% of Mobile volume. Reviewers can now focus on meaningful risk signals rather than spending time clearing false alarms. - From Staffing Pressure to Greater Operational Efficiency
Dedicated hold-review FTE decreased from an average of 1.6 to 1.25, while monthly analyst hours fell from 230 to 206, freeing capacity for higher-value work.
VALID CheckDetect helps banks move from broad, reactive check-deposit reviews to targeted, risk-based decisioning. By scoring deposits at the item level, banks can improve analyst efficiency, focus analysts on genuine risk, reduce false positives, and lower customer friction and operational costs.
Reduce Your Analyst Review Burden With CheckDetect
VALID Systems deploys CheckDetect for financial institutions across banking channels. Our check risk models are trained on each institution’s transaction data and validated against its fraud patterns, delivering precision scoring without disrupting existing operations.
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