AI Agents: What They Actually Are, and Why It Matters for Operations

Most companies we talk to have already heard “AI agent” more times than they can count. Fewer have a clear picture of what that actually means for their operations — or what changes when you move from chatbots to agents.

The functional difference is authority. A chatbot answers. An agent acts. When you tell an agent to process a supplier invoice, it doesn’t summarize the document — it reads the invoice, matches it against your contracts, flags discrepancies, logs the entry, and routes for approval. With your credentials. Across your systems. Without asking at every step.

Three capabilities make this possible — and each one introduces real operational risk: tool access (email, files, APIs, code execution), persistent memory across sessions, and autonomous decision-making between checkpoints.

That last one tends to get underestimated. The whole value of an agent is that it doesn’t stop to ask. That’s also why the attack surface isn’t the agent itself — it’s every document, email, or data source the agent reads. A malicious instruction embedded in a procurement email can redirect an agent’s behavior long after you’ve forgotten about it.

We’re watching this become relevant faster than most ops teams are ready for. At Raventós Codorníu, for example, the conversation we’re having with their CIO and CDO isn’t about whether to use agents — it’s about where authority should and shouldn’t be delegated, before tools get deployed. A beverage company with 14 wineries across three countries, mid-ownership-transition, running agents against procurement and logistics data — that’s not a technical question. It’s a governance question with a technical implementation.

The companies that get this right tend to start with a clear map: which processes involve low-stakes, reversible actions (good agent candidates), and which involve credentials, financial data, or external commitments (needs a human checkpoint). That map doesn’t require a lot of AI sophistication. It requires knowing your operations.

The practical question isn’t whether agents are ready for enterprise use. It’s which decisions in your operation you’re actually comfortable delegating — and to what.