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

A-Team Insight Blogs

Markit Partners WorkFusion to Automate Manual Processes and Deliver Greater Value to Customers

Subscribe to our newsletter

Markit has teamed up with WorkFusion to automate some of the high volume manual processes that support its Information, Processing and Solutions business divisions. Automation is expected to increase the efficiency and accuracy of the processes, improve operational performance, reduce costs, and enable the company to deliver greater value to its customers.

Markit considered building an automation solution in house before deciding to work with WorkFusion, which provides a software-as-a-service platform that supports the automation of high volume, labour intensive business processes through a combination of workforce orchestration, robotic process automation and cognitive automation powered by machine learning.

Chip Carver, head of Information at Markit, says the company selected WorkFusion on the basis of its knowledge of WorkFusion’s management team and its provision of a best-in-class innovative product. He explains: “We evaluated the product in a proof of concept phase to ensure it meets our needs. Its parsing and machine learning capabilities will allow us to automate processes across the value chain. The initial focus is not necessarily on helping us bring products to market more quickly, but to improve our ability to provide a more accurate, timely and seamless service to our customers.”

Max Yankelevich, CEO at WorkFusion, says: “WorkFusion’s smart automation platform offers financial services customers robotic and cognitive automation coupled with real time management of human work. This combination is delivered through the cloud and allows customers like Markit to quickly improve the efficiency of their processes while gaining agility in creating new products.”

Markit will work with WorkFusion on an initial set of applications before extending its use of active machine learning across other products and services.

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Private Market GPs Unhappy with Data Availability, Unsure About AI Value

General partners (GPs) within the private equity space are dissatisfied with the quality of data available to them at a time when technology is rapidly transforming the sector. Despite being upbeat about the prospects for deals in the coming year, fund allocators are more pessimistic about their operations amid a shortage of digital operational and...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...