Surface critical risks & opportunities
AI Outlier Detection Agent
Find the exceptions that prove the rule
Delegate the search for anomalies to a specialized AI agent. It analyzes massive datasets and document repositories to automatically surface the critical outliers—from fraudulent claims and contrarian opinions to non-standard contract clauses—that require your expert attention.

Ideal for
Risk & Compliance
Investment Teams
Data Science
Time comparison
Traditional way
Days of manual searching
With V7 Go agents
Minutes (automated)
Average time saved
99%
Why V7 Go
Analyzes massive datasets and document archives
To find the critical few data points that matter.


Import your files
Snowflake
,
Databricks
,
SharePoint
Import your files from whereever they are currently stored
All types of Business documents supported
Once imported our system extracts and organises the essentials
Connect AI to your sea of data.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Answers
What you need to know about our
AI Outlier Detection Agent
What kind of data can this agent analyze for outliers?
It's designed to work with both structured and unstructured data. It can find statistical outliers in numerical datasets (like transaction logs or financial data) and contextual outliers in text-based document sets (like contracts or reports).
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How do we define the 'normal' pattern for it to detect deviations?
You have options. You can provide a set of 'golden standard' documents or a baseline period of data for the agent to learn from. Alternatively, you can define explicit rules and thresholds that constitute an anomaly for your business.
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How is this different from the 'Contrarian Analysis Agent'?
This agent is the engine that finds the raw outlier data. The Contrarian Analysis Agent is a more sophisticated workflow that takes those outliers and synthesizes them into a coherent argument or alternative investment thesis. This agent finds the needle; the other explains why the needle is important.
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Can it run in real-time to detect anomalies as they happen?
Yes. The agent can be configured to monitor a live data stream or a folder of incoming documents, applying its detection models in near real-time to provide immediate alerts on new anomalies.
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Does it explain why something is an outlier?
Yes. The output report not only flags the outlier but also provides the context. It will show you the anomalous data point alongside the baseline or peer group data, making it immediately obvious why it was flagged.
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Is this only for finding negative things, like fraud?
Not at all. Outliers can be positive too. It's equally powerful for finding positive signals, such as a sales region that is dramatically outperforming its peers or a portfolio company with unusually high margin potential.
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Next steps
What are the critical signals you're missing?
Send us one of your large, complex datasets and tell us what you're looking for. We'll show you how our AI agent can cut through the noise to find the outliers that matter.











