Turn AI uncertainty into clear, teachable company habits.

Guidelines only work when people understand them

A policy can say what is permitted, but employees also need realistic examples. They need to recognize sensitive information, understand why an AI answer can sound confident and still be wrong, and know what to do when a useful idea falls outside an approved process.

Bryan turns those concerns into plain-language scenarios and repeatable habits. The goal is not fear or paperwork. It is confident experimentation inside boundaries the organization can explain and support.

• Approved tools, accounts, and appropriate business uses
• Private, personal, client, student, employee, and confidential information
• Accuracy checks, source verification, bias, and incomplete outputs
• Copyright, ownership, disclosure, and appropriate attribution questions
• Human review, professional judgment, and final accountability
• Shadow AI, vendor questions, escalation paths, and incident reporting

A practical responsible-AI working session

Before the session, Bryan learns what tools people are using, what work they hope to improve, and what concerns leadership, HR, or IT already has. The workshop then uses realistic examples rather than confidential company material.

Participants practice classifying information, evaluating proposed AI tasks, reviewing generated output, and discussing who should approve or own the work. Leaders can use the same session to surface gaps between written expectations and everyday behavior.

• Information-boundary map: what can go in, what must stay out, and what needs approval
• Human-review checklist for generated work
• Role-relevant examples of lower-risk and higher-risk use
• First-draft employee AI-use guidelines or a review of existing guidance
• A short 30-day action plan with owners and next decisions

Choose the right depth

A 60-minute briefing creates shared language. A half-day workshop adds hands-on scenarios and concrete deliverables. A multi-session engagement can separate leaders from general staff, develop role-specific workflows, review guidelines, and provide follow-up office hours.

Bryan provides education and facilitated planning, not legal, cybersecurity, or regulatory advice. When a decision requires specialized counsel, the program makes that handoff visible instead of offering false certainty.

Built for organizations that need a sensible starting point

This work is especially useful for organizations where employees are already using ChatGPT, Microsoft Copilot, Gemini, Claude, or embedded AI features without a consistent shared baseline. Training can remain tool-agnostic or align with tools the organization has approved.

Programs are available on-site across Indianapolis and Central Indiana or virtually for distributed teams.