Agentic workflows: What they are and how enterprise teams govern them

Agentic workflows, characterized by AI-driven processes that autonomously handle complex tasks with minimal human intervention, offer a transformative approach for security and IT teams dealing with fragmented tools and manual processes. Unlike traditional automation and Robotic Process Automation (RPA), agentic systems can autonomously plan, decide, and act, thereby handling ambiguity and variation that older playbooks couldn't manage. However, their adoption has outpaced governance frameworks, leading to risks such as over-permissioned agents, opaque decision-making, and automation bias. Effective governance requires a focus on safety, compliance, accountability, and predictable outcomes to close the gap between deployment and control. This involves policy governance to define agent boundaries, operational governance to manage day-to-day activities, and lifecycle governance to oversee agent evolution. A risk-tiered oversight model can help delineate where agent autonomy ends and human oversight begins, ensuring that agent decisions are observable and not just logged. Tines, an intelligent workflow platform, integrates these governance layers, enabling security and IT teams to build and manage workflows that unify deterministic automation, agentic AI, and human-in-the-loop steps.