Automation has evolved from basic tasks to advanced Intelligent Automation (IA), significantly modifying enterprise operations. As enterprises aim to scale their automation capabilities, adopting a Unified Intelligent Automation Platform (UIAP) is vital. Enterprises can use gen AI to scale their automation efforts effectively.
Gen AI impacts various business domains, automating complex tasks, generating predictive analytics, and personalizing customer interactions. However, organizations face challenges in adopting and scaling IA platforms, including technology complexities, data privacy concerns, talent shortages, and cultural resistance.
In this report, we examine the UIAPs’ need and gen AI’s impact on IA across business domains. The report also recommends best practices and key success factors to drive enterprise-wide IA platforms’ adoption. It offers valuable insights for enterprises to navigate and scale IA by employing gen AI for future success.
Scope
Industry: IT services
Geography: global
Contents
In this report, we:
Examine automation evolution
Assess gen AI’s potential impact on IA across business domains and functions
Evaluate scaling IA with gen AI
Identify UIAPs’ need for enterprises
Recommend best practices and key success factors to drive enterprise-wide IA platforms’ adoption
