About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

Oracle Adds Agentic AI to Investigation Hub for Financial Crime

Subscribe to our newsletter

Oracle Financial Services has added a broad set of agentic AI capabilities to its Investigation Hub Cloud Service, aimed at helping financial institutions automate parts of their investigative workflow and reduce manual effort when tackling financial crime.

The new AI agents are designed to assist investigators by gathering evidence, surfacing key insights, and generating detailed case narratives—tasks that often require significant time and effort. By handling these elements automatically, the system allows investigators to focus on the more complex aspects of cases, particularly those involving sophisticated criminal schemes.

Jason Somrak, head of financial crime product strategy at Oracle Financial Services, described the development as a “paradigm shift in financial crime investigations,” noting that Oracle’s approach allows AI agents to “follow investigative plans, collect evidence, and recommend actions while providing investigators with robust narratives documenting the findings.” According to Somrak, this process “enables firms to drive consistency in decision making and thoroughly investigate all risks automatically.”

The move reflects growing demands on financial institutions to detect and respond to increasingly complex financial crime threats, all while navigating heightened regulatory expectations. Traditional investigation methods—often reliant on manual data collection and analysis—can be slow and inconsistent, exposing firms to risks from bad actors and regulatory risks of non-compliance.

Unlike AI chatbots that depend on investigators asking specific questions, Oracle’s AI agents are built to proactively analyse alert data, identify connections (such as matches with sanction lists), and generate comprehensive narratives that summarize each case. The goal is to provide investigators with clear, relevant information to support more informed and timely decisions.

These AI-driven features form part of Oracle’s broader suite of financial crime and compliance tools, which are increasingly leveraging generative AI to improve the speed, consistency, and reliability of financial investigations.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

How Firms Are Adapting to a Multi-Channel, AI-Driven Future – Global Relay Survey

Global Relay has published its 2025/26 Data Insights: Communications Capture Trends report, now in its third annual edition and rapidly becoming a reference point for how regulated financial institutions manage their communications obligations. Drawing on data from more than 12,000 regulated financial institutions using Global Relay’s connectors, the survey tracks which channels firms are archiving,...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Risk & Compliance

The current financial climate has meant that risk management and compliance requirements are never far from the minds of the boards of financial institutions. In order to meet the slew of regulations on the horizon, firms are being compelled to invest in their systems in order to cope with the new requirements. Data management is...