In medium-sized industrial companies, onboarding a new customer often takes 3 to 5 business days. Between lead qualification, credit checks, CRM entries, and billing setup, it’s a jungle of manual tasks—resulting in a 12% error rate and frustrated sales teams.

In this session, I will show you how to transform this process using the new Semantic Kernel Process Framework. We’ll move beyond simple chatbots to build stateful AI workflows that orchestrate intelligent agents and traditional business functions into a seamless, automated pipeline.

What you will learn in this talk:

Deep Dive into the Process Framework: I’ll explain the mechanics behind the scenes—how to implement complex patterns like Fan-Out/Fan-In (parallel CRM & Billing tasks) and "Human-in-the-loop" (Manager approvals) reliably.

The Enterprise Stack: Why combining Semantic Kernel with Dapr and Orleans is the secret weapon for building scalable, production-ready AI processes that can handle 1 to 1,000 concurrent workflows.

AI Validation in Practice: See how we use agents to ensure high-quality data before it ever hits your ERP system, reducing manual corrections by 90%.

The Live Demo: We’re going "Full Monty": From submitting a lead form to an automated AI credit check, ending with a ready-to-sign PDF contract and a welcome package. You will see a process that used to take days finish in under 15 minutes—monitored live via a Power BI dashboard.

This isn't a "Hello World" example. It’s a battle-tested blueprint for industrial automation. 30 minutes of live action, 100% practical.

Key

This is a brand new presentation. I am incorporating some of my own experience that I have gained in customer projects.