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

Fenergo Introduces Self-Service Client Configuration for CLM Platform

Subscribe to our newsletter

Client lifecycle management (CLM) specialist Fenergo has taken a step towards reducing the complexity and labour intensity of solutions servicing with the introduction of its Digital Configuration Studio, a low to no-code administration suite that allows financial institutions to easily configure Fenergo’s CLM solution to suit their needs.

With the ability to oversee routine CLM configuration and deeper project-specific requirements, Fenergo Digital Configuration Studio allows business users to become self-sufficient in best practice configuration, testing, maintenance and trouble-shooting while reducing costs and overheads. It includes a data model, user interface and workflow, along with additional rules and localisation models.

“As our customers embark on digital transformation initiatives, there is a growing requirement to democratise technology. The no code Digital Configuration Studio was developed to meet that need,” says Fenergo CEO Marc Murphy. “By putting configuration of our platform into the hands of the business user, our clients can benefit from a smarter, faster implementation.”

Joe Dunphy, vice president of product development at Fenergo, adds: “The solution empowers our clients by giving them self-sufficiency in terms of adopting and localising the product in a way that doesn’t impact future upgrades. The underlying product structure doesn’t change, it just allows them to configure details in a safe and code-free environment. That takes away dependency on Fenergo resources, and takes away the need for high-tech expertise.

“We get the same benefits as our end clients – it is a huge efficiency tool for us, and means that we can focus more resources on investment and innovation – hiring people that understand the market and the problems we are trying to solve in place of purely technical skillsets.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Maximising success when migrating big data and analytics to cloud

Migrating big data and analytics workflows to the cloud promises significant cost savings through efficient use of infrastructure resources and software that scales dynamically based on data volume, query load, or both. These are valuable gains for investment banks, but they can only be fully realised by taking a new approach to architecture and software...

BLOG

ThetaRay Extends Agentic AI into AML Investigations with Ray

As regulatory expectations around anti-money-laundering (AML) effectiveness continue to rise, many financial institutions are finding that the greatest operational pressure now sits in investigations rather than detection. While transaction monitoring models have advanced, the downstream work of reviewing alerts, assembling evidence and documenting decisions remains labour-intensive and difficult to standardise. ThetaRay is addressing this challenge...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...