Understand
How AI and large language models work, what they can and cannot do, and why context matters.
Corporate training
Corporate AI Training and Adoption
From AI uncertainty to confident everyday use. Live, in-person training built around your team’s existing software, workflows, documents, questions, and level of AI experience.
The goal isn’t AI knowledge for its own sake. It’s useful adoption.
Employees do not need to become AI experts. They need enough understanding to recognize where AI can make their work easier, enough confidence to experiment, and enough judgment to know where human expertise still matters.
Book a Training Consultation“AI is a scary word and concept. The main point of today is to translate that: these systems are tools. They’re not a magic wand.”
Amanda Wion - opening a corporate AI training
From understanding to everyday use.
Apply
Prompting, research, drafting, summarization, document analysis, email, meetings, and other immediately useful tasks.
Integrate
Apply AI inside company-approved platforms, internal knowledge sources, and existing software.
Adopt
Develop role-specific workflows and repeatable habits employees continue using after the training.
Removing the fear
Neither a magic button nor a replacement.
Most teams split into two camps. One assumes AI means the work is done at the click of a button - which is exactly how inaccurate output slips through. The other assumes these systems will replace their job.
Neither is true. Every single thing AI produces needs human review and intelligence, and the real risk is competitors adopting these tools first.
“I’m proficient in AI. But I’m not an employee here - I still have to get the context of your company. That institutional knowledge exists only inside this office.”
“Speak to AI as though it were an assistant. It’s your employee, and you’re instructing it on the things you don’t want to do.”
Why AI predicts, and why it hallucinates
If you’ve typed “Happy” in a text and watched “birthday” appear, you already understand it. The model predicts what comes next, token by token, and every word in your prompt steers it. Hallucinations show up when you’re outside a secured environment - pulling from the open internet instead of your own confidential documents.
How the program is built
Four pillars.
Secure by default
Approved tools, clear source boundaries, and no unsanctioned data movement. What your team puts in stays inside the company.
Practical workflows
We automate the repetitive, manual, copy-and-paste work - not the judgment, relationships, or client-facing thinking.
Human review
Professional expertise stays accountable for output quality. Every document starts and ends with a human.
Continuous improvement
A running wish list of ideas from employees, prioritized by impact and effort, shapes what gets built next.
Built around real work
Not generic demos.
A planner, an operations leader, an executive, and an administrative employee should not leave an AI training with exactly the same use cases. I design training around the work people actually perform - inside tools they already have, like Outlook, Word, PowerPoint, Teams, and SharePoint.
“Within a week or two, there should be one task - a work plan, morning emails, your schedule - where you know exactly how AI makes it easier.”
Make AI feel immediately useful, without making it feel like magic.