How to build an intelligent AI assistant: A developer’s guide

Real-world use cases

After building the assistant, I tested it in real scenarios to see how an intelligent AI assistant could handle real-time communication and eliminate friction across key touchpoints.

1. Automating event inquiries with an AI assistant

Once the assistant was set up in Copilot Studio, the first real-world use case I tested was handling event inquiries. Previously, even a simple “What time does the event start?” could trigger a chain of manual effort - digging up documents, composing replies, and tracking links. It was functional, but far from efficient. Now, that entire process feels invisible. When a message lands in the inbox, the assistant gets to work. It interprets what the sender is asking, pulls accurate details from a connected knowledge source, and replies with a clean, well-formatted message - complete with a direct link to register. The interaction is fast, relevant, and, most importantly, consistent.

From the user's perspective, it feels like someone is always available to help - no delay, no back-and-forth, just answers. And for the team, there's nothing to do. It’s support without the burden of support. Autonomous Agent’s instant reply:

2. Sending instant confirmations after registration

The second point of friction I wanted to eliminate was post-registration communication. People often sign up for events and wonder if their submission went through. If a confirmation doesn’t arrive quickly, confidence drops - and so does engagement. That’s where an intelligent AI assistant steps in again. When someone submits the registration form, the system completes a follow-up sequence. It recognizes the new entry, pulls the registrant’s details, and assembles a personalized confirmation email—a thank-you note, event logistics, and helpful links are all included. The user needs everything to feel informed and prepared when they sign up. There's no need to refresh an inbox or wait for a team member to reply. The assistant ensures that every attendee feels acknowledged in real time.

Conclusion

What began as a simple goal of eliminating the friction in handling event inquiries became a broader exploration into how to develop an AI assistant that works autonomously across multiple touchpoints. Using Microsoft Copilot Studio, I built an AI assistant that responds instantly, communicates clearly, and operates without supervision. This wasn’t a technical experiment. It was a practical application of an AI assistant where it matters most: delivering better customer experiences with less effort. The outcome is a scalable, consistent, and always available system - whether you're managing ten registrations or ten thousand. And this pattern doesn’t stop at events. It can be extended to support tickets, lead qualification, internal requests, and more. If you're exploring ways to integrate intelligent automation into your Dynamics 365 environment, contact Confiz at marketing@confiz.com. We help organizations design and implement AI assistants that simplify operations and scale impact.