The role of AI agents in the workplace
What AI agents are, how they differ from chatbots, and where they add the most value in enterprise digital workplaces.
AI agents are becoming a core part of the digital workplace. Understanding what they are and where they fit helps organisations deploy them effectively.
What is an AI agent?
An AI agent is a system that can perceive its environment, make decisions, and take actions to achieve a goal. In the workplace, that often means: understanding a user’s request, deciding which tools or systems to use, and executing steps (e.g. calling an API, updating a ticket, sending a notification) until the task is done. Unlike a simple chatbot that answers from a knowledge base, an agent can change state in the real world — with appropriate guardrails.
Conceptually, an agent sits between the user and a set of tools: it interprets intent, plans steps, calls the right APIs, and can hand off to humans when needed.
Agents vs chatbots
Chatbots are great for Q&A and guided flows: “How do I reset my password?” → link or steps. Agents go further: “Reset my password” → verify identity → call the identity system → complete the reset and confirm. The agent orchestrates multiple systems and completes the workflow. That’s why they’re so powerful for IT and HR self-service: they don’t just inform, they act.
Where agents add the most value
Agents shine where (1) the task is well-defined and repeatable, (2) the underlying systems are API-enabled, and (3) the risk of errors is manageable. Classic areas: password and access management, software and license requests, ticket creation and routing, policy lookups, and onboarding/offboarding steps. In each case, the agent reduces wait time and frees support staff for complex or sensitive cases.
Governance and human-in-the-loop
Because agents take actions, governance is critical: which systems they can access, which actions require approval, and when to hand off to a human. Human-in-the-loop is essential for high-risk or one-off decisions. Well-designed agents make it clear when they’re acting and when they need human confirmation.
AI agents are not a replacement for people; they’re a way to scale routine work and improve experience. Organisations that define clear use cases, boundaries, and governance will get the most out of them.