HATZ AI: No-Code Platform for Secure AI Adoption & Workflows

Introductions: Mark Leaper & Michael McPaten

Mark Leaper, Director of AI Adoption at Hats, introduces himself and Michael McPaten from the AI experience team, highlighting their roles in education and platform expertise.

HATZ Lab Agenda Overview

The hosts outline the session's agenda, including what Hats is, problem-solving, AI anatomy, and use case building with chat, agents, and workflows.

What is HATZ AI Platform?

Hats is described as a platform for curating AI, offering no-code chat, workflows, and agents, allowing organizations to control AI models and secure their data.

Solving Security & Adoption Challenges

The platform addresses shadow AI creep by providing secure access to multiple AI models and promotes AI adoption through certifications and educational pathways.

Anatomy of AI Use Cases

The core components of every AI use case are explained: input (what and where), the role of AI (a verb/action), and output (what and where).

Role of AI: Always a Verb

Emphasizes that the AI's role must always be an action verb (e.g., summarize, edit, generate, search) to avoid AI guessing and ensure desired outcomes.

Crawl, Walk, Run Adoption Framework

Introduces the 'crawl, walk, run' framework for AI adoption, starting with low-effort, low-impact wins and gradually progressing to more complex, disruptive use cases.