CamTEC has guided a leading UK University to overcome change inertia and deploy a scalable People Focused HyperAutomation operating model that not only releases early benefits but may be scaled rapidly across the University as their automation ambition grows.
The University is one of the oldest in the English-speaking world. Whilst a leading academic and research institution, many of their professional services functions had a heavy reliance on manual intervention and were not scalable which were viewed as a barrier to growth.
Existing HR Recruitment, Finance and Admissions processes were laborious and placed high pressure on employees delivering these services. The approach CamTEC adopted an agile iterative deployment approach that was low risk to enable the University to assess potential value early in the engagement without long term commitments.
Our expert consultants conducted a light touch Discovery as a Service engagement to establish significant benefit potential early in the engagement together with Functional prototypes to aid acceptance.
CamTEC guided the University to consider the deeper impacts of automation on their job roles, skills profile an organisation design as transactional work was ‘bot shored’, freeing up intellectual horsepower to address business challenges.
UiPath was selected due to is end-to-end support of the automation lifecycle from managing a backlog of requirements through to automated discovery of business processes, RPA and AI components, test automation and orchestration and support tools, whilst also bringing the University along on the journey and not just another supplier.
CamTEC had to cope with a high rate of change of underlying ‘software as a service’ applications that threatened the reliability of the software robots could potentially have damaged confidence in the technology.
CamTEC overcame this challenge by putting on place a robust change management approach that tracked future changes in underlying systems and assessed the impact of these. Patches to production bots were designed and deployed using a market leading automation dev ops approach to carefully synchronise the required patches to the deployment schedule of underlying applications.
The net result is that production bots are running at or near 100% accuracy on an ongoing basis.
- 35,000 hour returned identified in initial Discovery, equating to 20 FTE.
- 14,000 hours returned released in 12-week delivery phase.
- Deployment of a sustainable HyperAutomation Operating Model to enable further roll out of automation deployments more widely across the University