How AI agents will optimize efficiency and productivity

- So where do you start assessing if an agent could help with a task? AI agents are great for tasks that you cannot easily describe in roles. They go beyond answering, if this happens, then do that. Agents work well on more complex tasks that involve several steps and have some uncertainty. The travel booking example we've looked at earlier demonstrates that quite nicely. Instead of going through all the steps yourself, an AI agent will do these steps for you. You will review the proposed itinerary and ask the agent to update or amend it if you have any changes. So you are in control of the final decision on how to move forward. You will recognize this familiar pattern as we go through the next sections and examples. As you're looking for ways to incorporate AI agents in your business, start with the following questions. In what processes does our team spend the majority of their time? Which tasks or steps in this process take up the most time? How complex are these tasks? Do these tasks involve IT systems and data that we have access to? Do we already have access to agent functionality? What would being faster or more cost effective allow us to do? And can we measure it? Your business teams on the ground can pinpoint the first examples where it can optimize your operations. They experience it day in and day out. Where would your team be comfortable having an AI agent do part of the work on their behalf? Where could the team review the proposed information or next steps? Where would the team members step in if needed? You would typically interact with an agent through a conversation like a chat or by using your voice, but there will also be agents that you can trigger with a click of a button. No matter how you interact with an agent, they're going to help you increase efficiency and productivity in different parts of your business.