What happens when automation starts moving from fixed workflows to autonomous action?
This report explores the difference between AI workflows and AI agents, and how organisations can choose the right approach for different automation needs. While workflows follow predefined steps to deliver consistent outcomes, AI agents can make decisions, use tools and act with greater autonomy based on context and intent.
In this report, you’ll learn:
• How AI workflows differ from AI agents
• When structured workflows are the better fit for predictable tasks
• Where AI agents can support more complex, adaptive decision-making
• Why retrieval augmented generation helps improve accuracy and context
• What challenges organisations face when implementing AI tools
• How security, governance and approval controls reduce AI risk
• How Elasticsearch can support speed, scalability and richer AI applications
It also outlines how organisations can combine workflows and agents to balance reliability, flexibility and control as AI use cases become more sophisticated.
Access the full report to explore how AI workflows and AI agents can help teams move from automation toward autonomy.
