AI Agent Observability: Deploying Safely

Key Takeaways

Do you actually trust your AI agents? When it comes to deploying conversational agents, trust is the most important thing, period. It's also a two-sided coin, because as important as trust is for your customers, it's equally as important to build within your business. Building trust in this way is about answering different questions. How do we know the changes to our agent are going to work? What happens if we release a breaking change? [music] The implicit messaging here is are you willing to sign off on this? And these are all good questions to ask, because as Forrester predicts, about 1/3 of brands will roll out AI in self-service and fail. These businesses will have pushed AI solutions out before they are ready. Well, one way to know that your team is ready is when you identify that you have a strong deployment system in place. >> [music] >> This starts with environment separation, dedicated staging and production environments where changes can be reviewed, shared with stakeholders, and if needed, rolled back. Then you have pre-deployment testing, the ability to simulate real-world conversations against the new agent version before it ever interacts with a customer. Finally, your workflow is set up to treat your agent like a product, with a release methodology, a versioned history of every change, and the operational discipline to know what's in production, what's been tested, and what's next on the road map. Now, you are deploying safely and iterating your agent on a strong foundation of trust. But as we all know, deployment isn't the end of the line. It's what allows you to generate new production data that flows back into your greater agent observability system. A system that relies on visibility, insight, optimization, and deployment. Not as a pipeline, but as a flywheel, where each cycle of agent iteration becomes faster and more reliable, [music] where your teams become empowered to scale AI systems. But maybe the theory isn't enough to convince you of this, and that's okay. So, I have one last question for you. Do you want to see it in action?