⚠Automated risk management

Catch errors before they cost you.

From unexpected $50,000 vendor invoices to extreme payroll overtime spikes, our background AI constantly monitors your baselines and rings the alarm when things mutate.

01Proactive insight architecture

Stop downloading CSV sheets to run standard deviations on Friday afternoons.

We built autonomous statistical tracking directly into the backend cron-layer — it teaches itself what is “normal” for your company.

01

Statistical baselines

The system computes historical 30-day and 90-day rolling averages and standard deviations for expenses, attendance, and sales metrics automatically — no static rules needed.

02

Spike detection

If a massive unordinary invoice is submitted or a project exceeds historical burn rates by 20%, the system flags the transaction as an anomaly immediately — catching expense outliers, abnormal overtime, and vendor price hikes.

03

Push & email alerts

We don't wait for you to log in. In-app notifications, Apple/Android push alerts, and immediate high-priority emails are dispatched to specified managers.

04

Background cron jobs

An ultra-reliable background scheduled executor performs sweeping data evaluations across thousands of rows every single night without degrading system performance — zero-impact execution.

05

Automated fraud prevention

By identifying micro-deviations in procurement patterns and employee time-punching locations, internal shrink and fraudulent reimbursements are caught before payment — expense auditing and location verification built in.

06

Customizable margins

A 5% deviation in enterprise sales is normal, but a 5% deviation in payroll is critical. You control the sensitivity thresholds and trigger percentages natively in the dashboard — reducing false positives.

02FAQ

How it works in practice.

What types of data does Anomaly Detection monitor?
Currently, our automated cron jobs actively index and track: Vendor Bill Totals, Employee Overtime, Department Expense Claims, Project Burn Rates, and Unplanned Absences across your entire tenant.
Do I need to program the rules myself?
No! Unlike legacy threshold monitors where you must guess static numbers ('Alert if > $10,000'), ILORA calculates statistical baselines using average computations and standard deviations. It teaches itself what is 'normal' for your company.
How am I notified of an anomaly?
The anomaly triggers route directly through our central Notifications Module. This means the affected department head will receive a synchronized In-App notification, Mobile App Push Notification, and an Email alert within seconds.
Will this slow down my database or application?
Not at all. The heavy statistical computations are offloaded to our asynchronous Go-based background schedulers running strictly during low-traffic night hours, ensuring your frontend UX is never impacted.

Sleep better at night.

Ensure internal compliance and zero financial surprises — let the AI watch the baselines for you.

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