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Accounting & CPA Firms · Workflow
Bookkeeping and transaction categorization
Automatically imports bank transactions, categorizes them using AI pattern recognition, flags anomalies for accountant review, and syncs reconciled entries to the general ledger. Reduces manual data entry by 80% and improves categorization accuracy during high-volume periods.
Workflow Trigger
New bank transactions are imported via bank feed connection or client uploads a bank statement CSV file.
Visual Flow
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Step-by-Step Breakdown
Detailed explanation of each automated stage in the workflow.
- 1Trigger
Detect new bank transactions
Monitors connected bank feeds in QuickBooks or Xero for new transactions, or watches for uploaded CSV statements from clients via Canopy's document portal.
- 2Action
Extract and normalize transaction data
Parses transaction details including date, amount, payee name, and memo field. Standardizes vendor names and removes duplicate entries across multiple accounts.
- 3Action
Apply AI categorization rules
Uses machine learning trained on historical categorization patterns to assign each transaction to the appropriate chart of accounts category, matching against vendor rules and past client-specific classifications.
- 4Decision
Evaluate categorization confidence score
Checks if the AI confidence score exceeds 95% threshold. High-confidence transactions proceed to auto-posting; low-confidence or flagged anomalies (unusual amounts, new vendors, potential duplicates) are routed to accountant review queue.
- 6Action
Post approved entries to ledger
Automatically posts high-confidence categorized transactions and manually approved entries to the general ledger, updating account balances and marking transactions as reconciled.
- 7Output
Generate categorization summary report
Produces a daily reconciliation summary showing total transactions processed, auto-categorized count, exceptions flagged, and category distribution. Updates client work-in-progress status in practice management system.
Outputs
- Fully categorized and reconciled transaction entries in client general ledger
- Exception review task list with AI-suggested categories for accountant approval
- Daily bookkeeping summary report with categorization metrics per client
Key Metrics
- Auto-categorization accuracy rate (target >95%)
- Average transaction processing time (seconds per transaction)
- Manual review exception rate (% requiring human intervention)
Tools & Integrations
OA
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