Overview
An ML-driven accounting solution that automates reconciliation of customers' and vendors' statements — eliminating manual matching work, catching anomalies and speeding up month-end close.
AI/ML
Machine Learning-Based Accounting Software for AM/NS
Auto reconciliation of customers' and vendors' statements using ML.
- Client
- Confidential — Enterprise finance function
- Category
- AI/ML
What we delivered
- ML-based statement matching
- Anomaly & duplicate detection
- Reconciliation dashboards
- Workflow for exceptions & approvals
Outcomes
Dramatic reduction in manual reconciliation effort
Faster month-end close
Higher accuracy across vendor & customer ledgers
Project timeline
Phased delivery from discovery through scale — each milestone tied to a measurable outcome.
Data Preparation
Q2 2022Consolidated customer and vendor statements across ERPs.
Key outcome: Clean training corpus for matching models.
Model Development
Q3 2022Trained ML models for statement matching and anomaly detection.
Key outcome: High-accuracy auto-reconciliation.
Workflow & Dashboards
Q4 2022Built exception workflow and reconciliation dashboards.
Key outcome: Faster review and approval cycles.
Rollout & Adoption
Q1 2023Rolled out to finance teams with training and change management.
Key outcome: Dramatic drop in manual effort and faster month-end close.
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