About a-team Marketing Services
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

Upcoming Webinar: Post-Trade Transformation: Automating Clearing & Settlement

Date: 1 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The UK, EU and Swiss markets move to T+1 settlement on 11 October 2027, but the first binding compression arrives almost a year earlier. ESMA’s amended settlement discipline RTS expects allocation and confirmation completed by 23:00 CET on trade...

BLOG

MiFID II Research Reforms Put Joint Payments Back on the Buy-Side Agenda

June 6, 2026, marks the start of a new phase in Europe’s research-payment regime, with MiFID II reforms allowing investment managers to use joint-payment arrangements for execution and external research. The change gives buy-side firms more flexibility after years of research unbundling, but it also tests whether firms can rebuild the commission-management, governance and evidence...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...