Get started with GFT BankLite

Are you launching a new virtual bank or embarking on a full digital transformation by replacing old legacy systems? Do you want to take on a multicore approach?

Today, you have the possibility to leverage GFT’s virtual banking accelerator, BankLite, to enable a fast deployment of a new cloud-based digital bank.

Developed in partnership with AWS and Thought Machine, GFT BankLite gives you a jump-start to help you reduce the time-to-market and optimise the ROI of your new digital journey.
 

Addressing the challenges


All banks face a number of Technical and Operational challenges in trying to maintain a competitive stance, while trying to innovate and compete with existing and new market entrants. Whether you are an existing traditional bank struggling with legacy technology, new banking start-up, or FinTech innovator all banks need a clear direction and strategy to manage technology, operational and efficiency challenges, some of which include:

  • Finding the right balance between custom-built, local and global products and partners
  • Keeping all involved teams aligned: from the Business and UX to DevOps
  • Managing all team dependencies simultaneously during the development phase
  • Providing a common contribution model to ensure a collaborative, safe and traceable evolution of the full software stack
  • Managing dependencies and quality across the full stack
  • Managing cloud infrastructure, native services provisioning and software deployment
  • Once in production, having a common operating model

New technology can help, and the use of cloud plays a key role in the bank of the future, but the road is complex and not without risk and complexity, with many firms making little or slow progress and costly mistakes.


GFT BankLite virtual banking accelerator

The GFT BankLite accelerator consolidates the knowledge acquired by GFT in developing a number of virtual banks worldwide. It helps banks build a custom end-to-end virtual bank with a proven and scalable architecture, reducing time to market, minimising project risks and decreasing operational and development cost. 

Using GFT BankLite’s pre-configured components, you can save up to four months of the initial set-up time, giving you a head start against the competition. And as you move ahead into the development of your virtual bank, GFT BankLite can help you raise productivity by up to 40%, since it provides modern collaborative methods and technology to ensure all the teams involved – from the Business, UX and Design to DevOps and Operations – are working collaboratively. It makes it possible to go from a business idea into actual software running in production on the same day, working in a safe and productive environment, based on solid building blocks; a modern core banking approach supported by cloud infrastructure.

GFT BankLite is designed with all the required components built around Thought Machine’s Vault - the next generation, cloud native, core banking engine. It is a modular system, designed to build the required functionality for different bank brands and entities. For more detailed information, download the Get started with GFT BankLite below.

Register for an online demo of GFT BankLite

Additional resources on this topic

Get started with GFT BankLite

Create your own virtual bank with GFT BankLite

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About Thought Machine

Is your banking technology working for you, or are you working for your technology?

Download our latest AWS success stories here

Download examples of our latest collaborative achievements with AWS here

Get started with GFT BankLite

Create your own virtual bank with GFT BankLite

Culture as code – why cloud transformation is a people matter

A successful cloud transformation is about mindsets, processes and cultural behaviour, as much as technology. Cloud migration has become (...)

About Thought Machine

Is your banking technology working for you, or are you working for your technology?

Download our latest AWS success stories here

Download examples of our latest collaborative achievements with AWS here