AI Safety & Responsible Use Training

In this training, teams learn how to validate AI output, avoid common traps, and protect sensitive information.

Educational and Zero-Jargon • In-person (Central Florida) or virtual • Same price • Same content

Service tiers
The Roadmap: $400–$600 flat fee • The Accelerator: $2,500–$3,500 (half-day) • The Enterprise: $5,000+
Educational only — not legal advice or compliance sign-off.

What teams learn

  • Validation habits: how to verify claims and spot hallucinations
  • Safer data handling: what to avoid and safer alternatives
  • Repeatable prompting patterns that reduce error rates
  • Review rules: when human review is required and how to review efficiently

What this training does not include

  • Compliance sign-off or legal advice
  • Open-ended governance programs
  • Implementation or ongoing management

Common questions

We already have an AI policy. Is this still relevant?

Yes. A policy document and a team that actually follows safe habits are different things. This session teaches practical habits your team will remember and use — not just point them to a policy they'll ignore.

Is this specific to one AI tool?

No. The guardrails and validation habits taught here apply across Microsoft Copilot, ChatGPT, Google Gemini, and any other AI tools your team uses — now and in the future.

We're in a regulated industry. Can you address compliance concerns?

The session covers data handling, what information should never be entered into AI tools, validation practices for high-stakes outputs, and documentation habits. For formal legal or regulatory compliance review, consult your legal team — this is training, not a compliance audit.

How long does the session take?

The Accelerator format is a half-day (3–4 hours). The Roadmap option (90 minutes) covers responsible use at a strategic level. Both formats are available in-person across Central Florida or virtually.

Want safer AI usage without slowing teams down?

Share your tools and where you worry AI could create mistakes or data exposure.