The instinct when deploying any new technology is to start small. Run a pilot. Test with a subset of data, a single team, or a simplified version of the real workflow. That instinct is sensible — but with AI agents, it carries different risks than those that exist with traditional software.
When we think about AI, the question isn’t simply what’s technically possible. It’s what is safe, auditable and appropriate in a regulated environment where clients trust the entire business. Those are very different questions, and they lead to very different decisions about how technology should be designed and deployed.
