As the cost of conduct risk goes up at regulated institutions, your decades-old keyword search is breaking under new compliance challenges, and you’re filling the capability gap with more people. Still, you’re overwhelmed with false positives, while most important signals for misconduct—behavior, emotion, and intent—go missed. In the end, you are left with two bad options: increase spending on people until there’s no discretionary budget left, or control costs and accept more risk.
Accept more risk,
or accept more time and cost.
Replace lexicon monitoring with unsupervised machine learning, mine your unstructured data for insights, and reduce risk, time, and cost all at once. We build AI that sees the meaningful semantic signals in the lexical noise, and we build a platform—The AI Brain—that incorporates human input in a continuous feedback loop, improving accuracy and reducing false positives over time. Your teams arrive at relevant information, faster.
Reduce false positives, increase true positives, and pinpoint misconduct.
Surface and act on hidden patterns in a new timescale.
Expand the automation layer of your compliance organization to include more and more tasks.
Text IQ's Artificial Intelligence and Machine Learning is used by leading enterprises and compliance teams for a number of key use cases detailed below
Automatically detect bad actors from within an organization on a continuous basis to identify and prevent compliance disasters before they occur. Text IQ’s AI platform understands communication on the semantic level, allowing our machine learning algorithms to detect subtle code words meant to pass under the radar in conventional or human review.
Understand how people in your organization communicate with one another on sensitive or important subjects using Text IQ’s socio-linguistic hypergraph. Text IQ’s partners have used our platform to understand internal communication risks in anticipation of litigation or regulatory investigation, thus optimizing their preparation.
Perform dynamic analysis of conduct risk scores across the organization, including drill-down exploration, and receive misconduct alerts.
Connect the dots to build and continuously update behavioral profiles that provide anomaly detection with granular accuracy.
Based on context and social network analysis, capture the intent behind communications, and identify risk.