A Practitioner’s Guide to Agentic Automation

Agentic process automation represents a shift from deterministic, rule-based workflows to dynamic, context-aware systems powered by AI agents capable of making autonomous decisions. This report examines the foundational concepts and technologies behind agentic automation, including large language and action models, levels of agency, memory architecture, orchestration layers, and observability. It highlights the opportunities and challenges enterprises face as they embed agentic AI into business processes, with guidance on strategy, design, implementation, and organizational change.

The report provides frameworks for enterprise readiness assessment, cost-benefit analysis, and use-case prioritization, as well as practical tools to select foundation models and platforms and identify agent suitability. It also explores supporting enablers such as talent strategy, CoE evolution, tool selection, governance, and risk management, along with best practices tailored to the unique demands of agentic automation. Through real-world examples and a structured adoption roadmap, it offers enterprises a clear path to building resilient, scalable, and future-ready automation capabilities.

This report is designed for enterprise executives, automation leaders, digital transformation stakeholders, and technology providers seeking to understand and operationalize the potential of agentic automation.