""Agentic refers to AI systems that can take actions on behalf of users, not just generate text or answer questions," says Andrew McNamara, director of applied machine learning at Shopify. Agentic systems run continuously until a task is complete, he adds, citing Shopify's Sidekick, a proactive agent for merchants."
""A concrete example is in IT incident resolution," says Heath Ramsey, group VP of AI platform outbound product management at ServiceNow. In this context, AI agents surface contextual data across systems, check prior resolutions and policies, issue fixes, update records, and loop in team members, he says."
"Building agentic systems requires a fundamentally new architecture, one designed for autonomy, not just traditional software development practices."
Agentic AI is revolutionizing enterprise systems by allowing AI agents to operate autonomously, enhancing efficiency across various business domains. These systems are increasingly utilized in software engineering, back-office automation, marketing, sales, finance, and data analysis. Effective agent-centered development necessitates a new systems thinking approach to mitigate issues like indeterminism and security vulnerabilities. Proper planning and a new architectural framework are essential for integrating agents with existing systems and executing complex workflows successfully.
Read at InfoWorld
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