Editorial

HMCTS wants AI tools to help deliver business improvements

Her Majesty’s Courts and Tribunals Service wants to build a Robotic Process Automation (RPA) capability – and intriguingly. already claims to have four robots in production and a further four in various stages of development

Posted 12 April 2018 by Gary Flood


Her Majesty’s Courts and Tribunals Service (HMCTS) says it wants robot help to do a better job – and hand advertised on the G-Cloud to find the help to do it.

The Service thinks such in-house capability would deliver business process improvements, and thinks the best way to achieve it is to use a mixture of supplier and in-house staff.

It’s opened a bid for specialised help on The Digital Marketplace (see the tender here), and says the context of the work is that it has many IT systems, some of which will be replaced under the HMCTS Reform programme.

The new systems are being developed incrementally, the Marketplace ad states, so legacy systems are required to support back-office processing while online applications and other services are developed.

As a result, it will be necessary to transfer data from new services to back-end applications to allow requests to be processed and maintain a system of record. Robotic Process Automation (RPA) has been identified as a solution to this problem, but the team believes business areas untouched by Reform “can also benefit from automation to eliminate repetitive tasks and improve quality freeing up staff for other work”.

hence its move – which basically comes down to it hiring a part-time Project Manager, an RPA Developer, a Business Analyst; a UiPath Trainer and an RPA Infrastructure Engineer (these last two on an as-needed basis).

The existing team consists of a Product Owner and Delivery Manager from HMCTS and a Project Manager, three Business Analysts and three RPA Developers supplied by a contractor, is based in London but may switch to Birmingham, says the post.

If you are interested, be aware that the deadline is pretty soon – April 23.

Good luck!