ML-Based GL Coding
Trained on your transaction history and chart of accounts. Identifies the right GL code from vendor name, description, amount, and historical patterns. Accuracy improves with every correction your team makes.
Stop spending hours coding transactions. Nexus AutoCode learns your chart of accounts, your rules, and your accountants' corrections — and codes up to 90% of transactions automatically, with full explainability on every decision.
Key Capabilities
Trained on your transaction history and chart of accounts. Identifies the right GL code from vendor name, description, amount, and historical patterns. Accuracy improves with every correction your team makes.
For transactions that always code the same way, define rules that execute instantly. Rules layer on top of the ML model — rules take priority, ML handles everything else.
Every correction your accountants make trains the model. The system gets smarter with every posting cycle. New vendors and new transaction types are learned quickly.
For every auto-coded transaction, the system shows why it chose that code: "Matched vendor ABC Corp (confidence: 97%) — based on 143 historical transactions coded to 6100."
Low-confidence items go to a clean exception queue for human review. One-click approval or correction. Never misses anything.
Coding rules and ML models scoped by entity. Different charts of accounts, different rules, different models — all managed from one admin console.
How It Works
AutoCode analyzes 12+ months of your transaction history to build the initial model. Setup takes hours, not weeks.
New transactions are coded automatically as they arrive — from AP, expenses, bank feeds, and journal imports. High-confidence items post immediately.
Your team reviews exceptions and corrects errors. Every correction improves the model. Within 2–3 cycles, auto-coding rates typically exceed 90%.
90%
auto-coding rate within 3 cycles
70%
reduction in AP and expense processing time
Full audit
trail on every automated decision