Zeni, an AI bookkeeping software, has launched its AI Accounting Agent automation solution, designed to manage complex accounting workflows such as transaction processing, reconciliations, flux analysis, and receipt matching with machine-level precision.
The AI Accounting Agent aims to reduce manual workload for financial professionals by automating routine tasks and learning from user input.
According to Zeni CEO Swapnil Shinde, “This is a revolutionary technology for founders and financial professionals. Our AI Accountant handles the tedious tasks of bookkeeping and accounting so teams can focus on strategic financial planning.”
The solution is intended to streamline finance operations and allow teams to dedicate more time to business growth.
The AI Accountant reviews every transaction detail, including vendor name, memo, date, amount, and historical patterns, to determine the appropriate vendor, category, and class in seconds.
It explains its coding decisions, auto-approves transactions when highly confident, and only sends uncertain cases to users for quick review. Each user confirmation or adjustment helps the system learn, ensuring efficiency improves over time.
For reconciliation, Zeni’s AI Accountant functions as a real-time engine that continuously synchronises live bank and credit card balances.
It compares ledger activity with raw statement data to identify missing, duplicate, or mistimed entries with line-item accuracy, aiming to maintain up-to-date and accurate records.
The AI Accountant automates receipt matching by collecting receipts from various sources, including cards, banks, bill pay tools, email, and Slack.
After gathering this data, it matches receipts to the relevant transactions by checking vendor, date, and amount, attaching them automatically. If a receipt is not immediately available, the AI continues to search daily and matches it once found.
Continuous flux analysis is another feature of the AI Accounting Agent. It monitors financial records around the clock, flagging any unusual spending changes.
The system breaks down month-over-month shifts by vendor, category, and class, providing explanations for each change. This approach eliminates the need for manual variance reports and helps users quickly understand spending anomalies.
Described by Zeni as a teammate who never sleeps, the AI Accountant operates in the background to keep financial books updated with improved accuracy and zero downtime. This allows users to allocate more time to business development rather than manual bookkeeping.
Source: https://www.internationalaccountingbulletin.com/
