IIntelligent Automation (IA) technologies’ adoption has increased over the past decade due to their potential to significantly transform business models. Businesses have made automation a strategic priority, and IA initiatives are now an integral part of large transformation deals. Furthermore, enterprises have begun combining Robotic Process Automation (RPA) with AI-powered products, such as Intelligent Document Processing (IDP) and conversational AI, along with process intelligence solutions such as process mining and task mining / Digital Interactions Intelligence (DII), to realize greater business value from their automation investments.
While IA technologies offer the potential to enhance business outcomes, scaling up these transformation programs can be challenging. To successfully scale these initiatives, it is important to integrate multiple disparate systems and applications while managing the flow of work between digital and human workforces to optimize processes. Process orchestration, a vital component in the IA ecosystem, can help effectively manage these human-machine dynamics to ensure smooth scaling and digital transformation.
In this viewpoint, we examine process orchestration’s role in the broader IA landscape and its benefits in achieving a scalable digital workforce. We also outline the challenges faced and best practices for enterprises to maximize value from their process orchestration initiatives. The report will benefit digital transformation and automation leaders, COOs, other business leaders tasked with improving operations, and process owners responsible for optimizing and improving business processes.
Scope
All industries and geographies
Contents
In this report, we examine:
- IA overview
- Process orchestration and its benefits
- Process orchestration’s role in the IA ecosystem
- Enterprise use cases
- Barriers to adopting process orchestration at scale
- Best practices for implementation
Membership(s)
Service Optimization Technologies (SOT)
Sourcing and Vendor Management
