Track: Data & Cloud or Other

Session length: 50 minutes

Level: 100–200

Abstract: AI is everywhere, but most businesses are still struggling to turn it into practical, reliable workflows. This session gives developers a clear, real-world framework for building AI-powered automation that supports business operations without creating confusion, risk, or unnecessary complexity.

We will walk through common business process breakdowns, show where AI can actually help, and discuss patterns for designing useful automation around intake, qualification, routing, follow-up, reporting, and decision support. The focus will not be on chasing shiny tools, but on helping developers think like solution architects who can connect business needs to practical technical execution.

Attendees will leave with a simple repeatable model for identifying automation opportunities, mapping business workflows, avoiding common AI implementation mistakes, and building systems that are useful, maintainable, and human-centered.

What attendees will learn:

How to identify business processes that are good candidates for AI automation

How to map a workflow before building the technical solution

Common failure points in AI-driven business tools

Practical patterns for intake, routing, follow-up, and decision support

How developers can communicate AI solutions to non-technical stakeholders

Why this fits Denver Dev Day: This talk is designed for developers who want practical, applicable ways to think about AI, automation, and workflow design. It is intentionally level 100–200, accessible to a broad developer audience, and focused on real development techniques rather than hype.