How to Use AI to Detect Anomalies in Financial Processes
Using AI to detect anomalies in financial processes means configuring a system that continuously monitors payment, approval, and entry data — and automatically flags anything that deviates from the expected pattern. Instead of discovering the problem at the monthly close, the company is alerted the moment the anomaly occurs.
This reduces financial risk, accelerates correction, and increases confidence in internal processes.
What Constitutes an Anomaly in Financial Processes
An anomaly isn't necessarily fraud. It can be:
- A payment with a value far above the historical average for that vendor
- An approval made outside normal operating hours
- A duplicate entry with the same data submitted within a short time interval
- An expense in a category that doesn't match the requesting cost center
- A process approved with a single authorization level when policy requires two
Each of these cases could be an error, a process deviation, or a signal of something more serious — and all of them deserve review.
How AI Detects These Anomalies
The AI analyzes the historical pattern of the data and compares each new occurrence against that pattern. When a value, behavior, or sequence of actions deviates significantly from what's expected, the system generates an alert.
This works because AI processes volume and speed that would be impossible for continuous human review.
What to Configure to Get Started
Define the normal parameters of the process:
- Expected value range by expense type
- Authorization levels and approvers by value
- Normal operating hours and frequency
Configure automatic alerts for deviations:
- Value more than X% above historical average
- Approval performed by an unauthorized user for that value
- Same record submitted more than once within 24 hours
How Jestor Supports This
Jestor allows you to configure validation rules and automations that monitor financial process data in real time. With AI Agents, you can create automatic checks that analyze each entry and flag exceptions before the entry is finalized.
Clients like Asaas, operating in a financial context, use Jestor to centralize approval workflows and ensure complete traceability of every step in the process.
Frequently Asked Questions
Does AI replace a financial audit? No. It complements the audit by identifying points of attention faster and more consistently.
Do I need historical data to get started? The more history, the better. But it's possible to start with manual parameters and refine over time.
Does Jestor log the history of all actions in processes? Yes. Every action within Jestor's workflows is recorded with date, time, and owner.
Is it possible to automatically block an operation when an anomaly is detected? Yes. Jestor allows you to configure automatic blocks or re-routing when an exception rule is triggered.
With Jestor, you can automate workflows, connect departments, and build internal systems your way — all without code and with AI support. Discover Jestor at jestor.com and see how to take your company's operations to a new level of efficiency and integration.