Stop Wasting Money on AI Your Team Doesn't Understand
Your team is using AI like it's a database. It's not.
Most teams bring the wrong mental model to AI. They expect it to work like their other software—databases with reliable memory, rule-based systems that follow instructions consistently. But LLMs work through probabilistic pattern prediction. That mismatch is why outputs look confident but wrong, why repetition backfires, why "memory" isn't what they think it is.
Where the Money Gets Wasted
That gap between expectation and reality is where budgets disappear and frustration builds.
Teams use AI for document review when context windows can't handle it. They expect repetition to work like emphasis when it actually increases pattern salience. They trust confident responses without verification protocols. They avoid the tools entirely because they assume the risk is too high—or they lean on them for tasks the tools fundamentally cannot deliver.
AI doesn't fail. Teams fail because they're using the wrong mental model.
When teams understand how AI actually works—pattern prediction, not reasoning—they stop expecting it to be reliable like a database and start using it for what it's actually good at. That shift saves time, reduces frustration, and prevents problems before they happen.
How We Approach AI Training
We teach teams how generative AI actually works—under the hood, in plain language—so they can use it responsibly and effectively.
We cover the foundations most training skips: tokenization, context window limitations, why "memory" isn't storage, how to select the right tool for the task. Not role-based use cases that'll be outdated in six months—the principles that let teams adapt as tools evolve.
The goal isn't teaching your team to trust AI. It's teaching them to understand it—so they know when to use it, when to verify, and when to walk away.
We also teach the importance of guardrails. AI tools already come with built-in system guardrails, but those aren't enough on their own. Teams need end-user guardrails: the boundaries your team builds for scope containment, verification checkpoints before outputs go live, and protocols for what never touches an LLM.
The outcome: Better collaboration, stronger output, and teams that know how to use AI well and leverage it effectively.
Who Teaches This
I teach foundational AI literacy and build AI tools with layered complexity—incorporating compliance-led principles, scope containment, hallucination reduction, and drift control. My background is in systems design and corporate training. This training covers the same principles I use when building: what AI can actually do, where it falls short, and how to work within those boundaries responsibly.
Training Sessions
AI Literacy 101 (90 Minutes)
Teams learn the foundations: how AI works (and doesn't), where myths distort expectations, and how to spot tool limitations. You'll learn why telling an LLM "don't use em-dashes" makes it use MORE of them, and what to do instead. Includes a quick-start checklist and five role-specific use cases that demonstrate capacity versus limit in practice.
AI Literacy to Fluency Boot Camp (Half-Day)
A department-level workshop. Teams analyze their real workflows (such as HR requests or comms drafts), then build red, yellow, and green guardrails based on what the tools can actually do—not what marketing promises or what your team wishes they could do. This builds habits for responsible, high-impact collaboration with AI.
Beyond the Sessions
These sessions give your team the foundational principles they need to use AI responsibly and effectively. The goal isn't chasing tools or rewriting SOPs every time a new model drops—it's building habits that last.
For organizations that want additional support as their teams develop fluency, we offer options for ongoing asynchronous monthly support, customized to your organization.
Next Step
Equip your team with foundational AI literacy that lasts.
The first step is to complete our interest form; it should only take about five minutes. Once submitted, we'll schedule a consultation to review your team's needs and map the right training path.