Architecting AI Workflows & Agents
About this class
Operator identity, diagnostic execution, and security-by-design architecture. This reframes the operator as the architect of their AI stack and walks through how to run the diagnostic within their own business and design security into the architecture from day one. Scoping access, sandboxing third-party tools, controlling data flows, and the architectural decisions that determine whether the build is auditable later. The depth talk for what the operator does, not what a consultant does for them.
Your trainer

Joshua Aguirre is the founder of Cressio, a Colorado Springs agentic AI consultancy and engineering firm that builds autonomous workflows to cut busywork, lift conversion, and reduce overhead for clients across 8 states. Through Cressio.ai, the firms education arm, he teaches operators in Colorado Springs how to become AI Systems Architects who own their agents outright. No vendor lock-in. No subscriptions. Named to SoCo Business Digests 2026 40 Under 40, Joshua has saved or generated over $5M for clients across construction, real estate, nonprofits, and finance.
View full profile →What is Level 3
Best for: You use AI daily to hourly and are ready to lead, build, or innovate.
Tool access: Paid or advanced AI tools needed.
Innovation classes are for experienced AI users, leaders, builders, and organizations ready for advanced strategy and implementation. These classes focus on AI leadership, governance, risk management, advanced agents, automation systems, organizational transformation, AI policy, and emerging skills like vibe coding.
This level is ideal if you are using AI daily to hourly, leading AI adoption, building internal tools, managing organizational risk, or designing AI strategy for a business, nonprofit, school, or team.
Who this level is for
Experienced AI users
Business and nonprofit leaders
Executives and managers
AI champions inside organizations
Educators and administrators leading AI adoption
Entrepreneurs building AI-enabled products or services
Teams developing AI policies, systems, or implementation plans
People ready for advanced tools, strategy, and innovation
You will learn how to
Create an AI strategy for your organization
Develop responsible AI policies
Understand AI governance and risk management
Build advanced AI agents and automations
Use AI for strategic decision-making
Explore vibe coding and no-code/low-code development
Design internal AI assistants
Plan organizational AI implementation
Evaluate privacy, security, and ethical risks
Lead teams through AI transformation
Create AI adoption roadmaps
Build innovation systems that evolve with technology