Computershare and Jade have two common threads that hark back to our beginning: We were both founded in 1978, and we both set out to provide computer services to businesses wanting to automate processes. While Jade maintained that mission, Computershare pivoted to providing best-in-class computer bureau services to Australian share registrars. 

They are now a business that boasts a market cap in the billions, manage over 75 million customer records, and employ over 12,000 staff throughout all major financial markets. While were founding members of the 1978 tech scene, it wasn’t until 1995 that our paths finally crossed. And it was worth the wait.


The problem

Being around as long as Computershare had, it’s no surprise it had a number of robust legacy systems across its operations. Faced with this pressure, along with the increased regulatory pressures it was facing plus the shortage of technical ability, Computershare knew they couldn’t modernise their business practices without external assistance.

The solution

Having considerable experience in modernising legacy systems, Jade was and is well placed to navigate the complexities of refreshing Computershare’s systems, all the while providing the level of user experience that customers and employees demand. Taking a user experience approach, we have been able to utilise our expertise across JADE, .NET, BizTalk and other application supporting technologies to ensure the business runs like clockwork. 

The outcome

Our ongoing partnership with Computershare has so far included: 

  • Computershare ecosystem: Jade has helped develop a platform where data flows easily throughout the business to enable better decision making
  • Mortgage managementJade drove the merger, user interface refresh, and implementation of an acquired mortgage management system into the Computershare ecosystem
  • Asset resolution: Jade spearheaded the 2-year UKAR merger project into the Computershare ecosystem
  • Anti-money laundering: Jade ThirdEye automates Computershare’s AML/CFT compliance obligations, screening customers and using AI to detect suspicious transactions