How to Use AI Agents in Jira Service Management
Discover how AI agents can transform IT support, HR, and customer service in Jira Service Management.
Read article →Latest Market Signal
Agent Observability Has a Compression Problem
Long-running agents produce more evidence than humans can review. Enterprise observability must compress their trajectories without breaking auditability.
Two editorial lenses
One field. Two useful distances.
The site separates current market movement from historical reconstruction so readers always know what kind of evidence they are looking at.
The long view
Six decades of process ambition.
The technology changes names; the organizational trade-offs repeat. Read the field as one continuous conversation.
1960sOffice automation
1990sProcess reengineering
2010sRPA at scale
2020sHyperautomation
NowAI agents
Historical perspective
Earlier work, still useful.
Time Machine pieces provide the context and perspective behind today’s signals.
Hyperautomation in 2024: The Next Leap for Business Process Excellence
Explore how hyperautomation is transforming business processes and setting a new standard for operational efficiency in 2024.
Read article →
AI Agents vs. Traditional Automation: What's Right for Your Business?
Explore the key differences between AI agents and traditional automation, and discover which approach best fits your business needs.
Read article →