TECHNOLOGY
disruption and ensure the proper foundations are set before building anything on top of .
Finally , partnering with experienced vendors which offer comprehensive support and integration services can help organisations navigate the complexities of combining AI and RPA .
“ This collaboration can simplify the integration process by providing valuable expertise and proven methodologies , such as the ROM2 , that address both technical and organisational challenges ,” explains Michael .
RPA & AI ’ s next iteration As businesses navigate these challenges , new trends are emerging in the realm of intelligent automation .
The continual integration between AI , RPA and other advanced technologies will converge to automate complex , end-to-end business processes .
“ While still adopted by relatively few organisations , hyper automation is gaining traction as these technologies mature and organisations recognise its potential for driving efficiency and innovation ,” Michael explains .
Tim echoes this sentiment , predicting that hyper-automation will push the boundaries of what automation can achieve , enabling businesses to automate not just repetitive tasks but also complex decision-making processes .
Looking ahead , the vision for RPA and AI integration is ambitious . A fully autonomous enterprise where manual intervention is minimal and processes are continuously optimised through AI-driven insights is the promise a fully realised synergy between the two can offer .
Yet , to usher in this vision , organisations must invest in scalable technologies , prioritise data quality and foster a culture of innovation .
“ Organisations should focus on strategic alignment , ensuring that AI and RPA initiatives support long -term business goals ,” says Michael .
160 November 2024