The adoption of AI is rapidly increasing, but many enterprises are facing challenges when it comes to scaling it effectively. Despite significant investments in AI and automation, numerous organizations struggle to progress beyond the initial pilot stages. The traditional RPA Centers of Excellence (CoEs) that were once instrumental in driving efficiency are now falling short in a world that demands intelligence, adaptability, and autonomy.
The main challenge lies in: the absence of a structured AI CoE framework, governance issues, isolated automation efforts, and limited scalability that hinder the progress of enterprise-wide transformation.
In the age of agentic automation, enterprises require more than just traditional RPA CoEs—they need intelligent and scalable systems that can learn, adapt, and operate autonomously.
