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AI accounting practice buddy
CASE STUDYWeb2026

AI accounting practice buddy

AI-powered accounting automation that reads invoices, bank statements, and receipts, automatically enters and reconciles transactions, flags exceptions, and follows up with clients - all with secure access controls and a complete activity history.

Client

Australian Accounting & Property Practices

Year

2026

Services

AI Engineering & Workflow Automation

Category

Web

Overview

Accounting practices lose hours every week to work that isn't really accounting - chasing down invoices, typing bank statement lines into the ledger, matching receipts to transactions, and reconciling the same categories month after month. Yexoria built an AI buddy that sits inside the practice's daily workflow: clients email invoices straight to a monitored inbox and the system reads and enters them automatically, an OCR pipeline turns scanned bank statements and invoices into structured line items, and bulk CSV upload handles the rest in one pass. The AI buddy then reviews every automated entry, flags anything that needs a human eye, follows up with clients directly when something's missing, and reports outcomes back in clear, professional language - all inside a security model built for how accounting practices actually work, with account-level access control and a full activity history.

Tech Stack

ReactEmail-to-Entry AutomationNext.jsOCR for Invoices & StatementsRedisAWS

Key Features

Automated email intake that reads incoming client invoices and creates entries without manual data capture
OCR pipeline that turns scanned bank statements and invoices into structured, categorised line items
Bulk CSV upload for practices migrating or reconciling large batches of transactions in one pass
AI buddy that reviews automated entries, checks outcomes, and flags exceptions before they reach the ledger
Automated, professional client follow-ups and outcome summaries sent directly from the workflow

Challenges

  • Repetitive data entry from invoices and bank statements consumed hours every week.
  • Chasing clients for missing documents relied on manual emails and memory.
  • Bulk historical transactions had no fast way to get into the system.
  • No consistent review step existed to catch entries before month-end reconciliation.

Outcomes

  • Daily processing time cut sharply across invoice and statement entry.
  • Clients now get automatic, professional follow-ups instead of manual chasing.
  • Bulk CSV and OCR uploads replaced hours of manual line-by-line entry.
  • An AI review step catches exceptions before they reach the ledger, tightening accuracy.
yexoria
yexoria

What we delivered

  • Automated email-intake pipeline that recognises incoming client invoices and creates entries automatically
  • OCR engine for scanned bank statements and invoices, turned into structured, categorised data
  • Bulk CSV upload for fast migration and reconciliation of historical transactions
  • AI buddy that reviews every automated entry and the outcome of each workflow run
  • Automated client follow-ups requesting missing documents, written in professional language
  • Client-facing outcome summaries generated and sent automatically after each processing run
  • Role-based access and activity logging built around how accounting practices are structured

Conclusion

The most valuable hours in an accounting practice shouldn't go to retyping invoices and bank lines. This AI buddy takes on the repetitive middle of the workflow - reading what comes in, entering it correctly, checking its own work, and keeping clients informed - so the team's time goes to judgement calls instead of data entry. Built with the access control and audit trail an accounting practice actually needs, it turned a manual, document-heavy process into one the practice barely has to think about.

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