As organisations look to thrive in an uncertain future, leveraging data and automation can help to progress their enterprise services. Advancing digital capabilities and improving the automation journey is essential for shared and enterprise services to cement their role as a strategic partner in the business.
Even organisations with limited maturity in the spheres of automation, data analytics, and machine learning should begin considering how solutions based on these technologies can transform the business and facilitate a shift to knowledge services.
Knowledge services is a relatively new concept where organisational outputs are driven by data insights to significantly improve the way organisations meet their customers’ needs. For shared services teams, automation isn’t the end goal. Instead, these teams should look to automation to achieve the end goal of optimisation, which will help these teams add more value to the organisation.
A key question for organisations looking to incorporate automation is to understand what parts of work humans need to be involved in versus those parts of work that can be confidently automated. Every organisation has to determine its own level of comfort with artificial intelligence (AI). Linked clearly with that is the level of risk an organisation is prepared to accept.
This whitepaper discusses:
1. Reducing manual work to free up time for strategic thinking
2. Travelling the maturity curve towards automation
3. The importance of change management in the journey towards automation
4. Balancing human intelligence with artificial intelligence (AI) while refining operational models
5. Key benefits of an intelligent automation platform