AI Agents: Real Work, Real Risk

[excited] Welcome to the show. AI agents seem to be everywhere right now. So, Paul and Simon, let me start here: when people talk about GenAI agents, what do they actually mean, and why are leaders paying so much attention? [curious] That’s exactly my question. I get that this is more than basic AI prompts. But from a business point of view, I’m still trying to understand where the real value is and where the risk starts to show up. [pauses] The simplest way to think about agents is this: instead of just answering a question, they can actually carry out a task. They can use tools, pull in information, and work through multiple steps to get something done. So the opportunity is pretty big [nervous] It is, but so is the uncertainty. Where does this really help the business, and where does it just add more complexity? [excited] That’s the key question. Agents can be powerful, but only if you’re clear about where they fit. Some work benefits from that kind of autonomy. Some doesn’t. And if you move too fast, you can create more noise, more risk, and not much real progress. I think that gets to the heart of why this matters now. [frustrated] Right, because there’s pressure to move. Nobody wants to fall behind. But the challenge isn’t just building something impressive. It’s knowing where autonomy makes sense and how to make sure people can trust the outcome. So what does good look like? [calm] Good looks focused. You’re not forcing agents into everything. You’re using them where they can really help, and you’re being thoughtful about how they operate. The business understands the value, the technical teams understand the boundaries, and there’s a clearer path to scale without losing control. So it’s really about being intentional. Exactly. Not just “let’s build agents,” but “where do they make sense, and how do we use them in a way the business can support?” And where does Accelerated Innovation help? They help organizations take a practical path by clarifying where agents fit, thinking through readiness and guardrails, and helping teams turn the idea into something useful and manageable. [short pause] That makes a lot more sense to me. It feels less like chasing a trend and more like making a smart decision. Exactly. The next step is to ask: where could agents make a meaningful difference in our business, and what would need to be true for us to use them well?