Enterprises worldwide are embracing digital transformation, making it the top agenda for different users such as automation leads, process owners, and CXOs. While each of these users has distinct business priorities, they also face unique challenges in achieving their digital transformation goals.
To effectively navigate these challenges and attain their objectives, enterprises are adopting a continuous discovery and intelligent automation approach. This approach empowers them to innovate and align their processes with targeted business KPIs. It involves discovering and comprehending existing processes, implementing outcome-oriented actions for process improvement, and continuously monitoring overall organizational performance and transformation initiatives. However, some enterprises may struggle to implement this approach to its fullest potential.
Everest Group’s Continuous Discovery and Intelligent Automation Playbook offers a comprehensive understanding of the continuous discovery and intelligent automation approach, including its advantages, adoption drivers, and key use cases across different industries and business functions. Additionally, it provides an overview of continuous discovery and intelligent automation’s role in enabling enterprises to drive superior business outcomes across industries and functions. The playbook provides a step-by-step approach to scale deployment and driving enterprise-wide adoption of the continuous discovery and intelligent automation approach, leveraging frameworks such as the Everest Group Capability Maturity Model (CMM).
Scope
All industries and geographies
Contents
In this report, we:
Discuss the evolving priorities driving the shift to digital-first
Define continuous discovery and intelligent automation, along with its benefits, key applications, and use cases
Analyze the role of technologies in driving continuous discovery across the intelligent automation life cycle
Outline enterprises’ continuous discovery and intelligent automation journey
Examine the challenges and best practices for the continuous discovery and intelligent automation journey
Define frameworks and strategies to accelerate continuous discovery and intelligent automation adoption
Describe process intelligence market characteristics
