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

A-Team Insight Blogs

Fenergo Finds Outdated Technology Preventing Investment in Disruptive Technologies

Subscribe to our newsletter

Fenergo has published the final installment of its three-part Client Lifecycle Management Trends Report – Disrupt the Disrupters and the findings are rather gloomy in an industry that needs to drive towards digitalisation to sustain success.

According to the research, 20% of C-suite executives in banks say the lack of maturity of their technology infrastructure is preventing them from investing in new, disruptive technologies including big data analytics and Artificial Intelligence (AI) to improve client lifecycle management. Some 67% are not currently partnered with a fintech/regtech provider to improve operational efficiencies and just 40% of respondents have integrated with an external data or Know Your Customer (KYC) utility provider.

The report is based on research carried out by Fenergo spanning 250 C-suite executives across data, technology and compliance, within commercial, business, investment and corporate banks. Respondents were based in banks of varying sizes across the world.

Other headlines from the research state that 33% of those surveyed have not invested in any technology to improve client onboarding despite 99% agreeing that underinvestment in technology directly impacts client onboarding and retention. Only 15% have automated the collection of data and 74% believe data management is overlooked strategically despite it being among the top three most critical business concerns of respondents.    

Marc Murphy, CEO at Fenergo, comments: “Our report findings tell us that a lack of technology investment and mature infrastructure are creating barriers to digital transformation.” To improve the situation, he suggests connecting internal and external systems and technologies through specially designed application programming interfaces (APIs) that allow financial institutions to build customer ecosystems without the need for a rip and replace solution. With a centralised client data strategy, firms can then achieve a single client view across all jurisdictions, and automate the flow of client data between the front and back office. Murphy adds: “This enables frictionless end-to-end client journeys,  and certainty. It also enables financial institutions to ultimately disrupt the disruptors.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

HelmGuard Raises $7.3m Seed Round to Replace Compliance Paperwork with AI Agents that Verify Risk Directly

Agentic governance, risk and compliance platform HelmGuard has raised $7.3 million to expand in the US and develop technology that monitors AI agents at runtime. Infinity Ventures and Frontline co-led the seed round, with participation from FinTech Collective, Stage 2 Capital and Entrepreneurs First. HelmGuard plans to establish operations in New York and San Francisco,...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

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...