> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tic.io/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Anomaly Detection

> How TIC uses artificial intelligence and machine learning to detect hidden patterns and anomalies across company, financial, and behavioural data.

Credit reference agencies typically uses fixed credit scoring models that are applied based on a set on instructions.
Companies that files their annual report seven months after the year ended would typically take up to ten months
before credit assessment is carried out by these agencies.

We, The Intelligence Company AB (publ), are changing the industry by providing an anomaly detection engine that looks
at continous flow of data relating to a business or individual. Similar to network traffic in cybersecurity, changes
surrounding a business triggers an anomaly detection to determine the impact of the change.

## Abnormal or suspicious behaviors

Events that falls outside the normal range called deviations are collected and stored as intelligence metrics.

## Early warning

A sudden change in data from previous behavior could signal increased risks. With us you receive early and accurate
data.

## Financial statement frauds

By combining [AI intelligent document processing, IDP](/technology/ai-intelligent-document-processing) and anomaly
detection we process financial statements and annual reports for businesses to identity risks and thereby offering
credit scoring models that efficiently targets any discrepancies.

In [our solution we describe](/technology/ai-annual-report-intelligence) we describe how the techniques are used
to identity and score discrepancies.