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

A-Team Insight Briefs

Confluence Sets Out on AI Journey with Reconciliation Solution

Subscribe to our newsletter

Confluence Technologies, a technology solutions provider to the investment management industry, has announced the first development from its innovation lab that leverages AI technology to solve complex industry problems. Confluence Unity Rex applies large language models (LLMs) to solve reconciliation challenges from the SEC’s Tailored Shareholder Reports (TSR). It mines and pinpoints discrepancies in language and numeric information between financial reports and the TSR, delivering efficiency and cost savings in the reconciliation process.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Testing Industry Perceptions at Data Management Summit London

Every year at the A-Team Group Data Management Summit we take the pulse of the financial data and tech industry on a range of critical topics of the day. We do this through audience participation questions during the day-long event, urging delegates to interact with speakers and other participants via remote voting on salient questions....

EVENT

RegTech Summit New York

Now in its 10th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...