Training built on your business. Not a deck.
- We map your team's real workflows before we ever show up
- Every person builds on their own job, with your data handled safely
- Small rooms of 10 or fewer, so nobody watches from the back
Sales teams, finance departments, operations groups, executive teams, and the person who holds the whole company together from a spreadsheet. The curriculum comes from your org chart, not ours.
This August, Wilkins Miller, an accounting and advisory firm of about 100 people, put a cross-firm group through this exact engagement. Within two weeks, team members were showing work that used to take hours of manual effort and now takes minutes. Read how they approached it →
Where teams usually are when they call us.
The tools are bought. The results aren't there yet.
Licenses are active, a few people experiment, and nothing has changed about how the work gets done. The gap isn't the tools. It's that nobody's been shown how to build with them on their own job.
The know-how lives in people's heads.
Decades of process, pricing logic, and standards: undocumented, unsearchable, gone at 5 PM. Getting it into AI safely is a build project, and it's one we know well.
One person proved it works. Now it needs to be everyone.
Someone on the team already showed what's possible. Turning that head start into the whole team's standard is exactly what a training day is for.
People are already experimenting. Quietly.
In almost every firm, individuals are testing AI on their own, with no shared standards and no guardrails. Training is how leadership decides on purpose instead of letting it happen by accident.
How an engagement runs.
We learn the business like builders, not vendors
Leadership conversations about goals and bottlenecks, plus a short questionnaire for every person in the room: what they do, what repeats, where the hours go. We map workflows the way people who build systems for a living do, because that's what we do the rest of the week.
Every person gets their own track
Built from their questionnaire. Your accountant works on reconciliation and reporting; your ops lead works on scheduling and follow-ups; your executives work on the decisions in front of them. Nobody sits through content that isn't about their job.
Training day: hands on keyboards, real work
A lead trainer and a technical guide in the room. Everyone builds systems on your company's own material, with your data handled on plans that protect it. By afternoon, people are demoing to each other.
After: it compounds
Weekly office hours, check-ins, and support as what your team built grows into more. Training day is the first step. The companies that get the most from us treat it that way.
What does your team walk away with?
Running systems, one per person or better
Built during the day on your data: reporting, document review, follow-ups, research. In use the next morning.
Company knowledge, loaded and usable
SOPs, standards, and institutional memory inside your AI setup where it multiplies people, instead of scattered where it helps no one.
A team that's ahead of it, not bracing for it
People leave having built something real, and it shows. Nervous energy turns into "look what I made."
A map of what's next
Leadership sees, in concrete terms, which workflows to systematize next and what that's worth: a prioritized path, not a vague mandate.
Your data, treated like it's ours.
We train on business and enterprise plans with contractual commitments that your data is never used to train AI models. That's in the terms, not in the marketing.
The right plan, set up right
Before the day, we help you pick the plan and set the rules: what goes in, what stays out, who can do what.
Responsible use, taught
Your team leaves knowing the data-handling practices and your organization's own guardrails.
Eyes on it after
As adoption grows, we can help you keep watch on how the tools are being used.
Questions companies ask before booking
These come up on almost every call. If you have a question not covered here, email us at team@beyondtraining.ai.
How fast do teams actually see results?+
Fast, when the habit sticks. In a recent engagement with a 100-person accounting firm, team members were showing work that used to take hours and now takes minutes, within two weeks of training day. The case study is on our blog.
Most of our team has never touched AI. Is that a problem?+
It's an advantage. Working with AI rewards clear thinking about your own job, and your people are the world experts on that.
We've done lunch-and-learns before. How is this different?+
A presentation tells your team about AI. We build with your team, on your work, one person at a time, and they keep what they build.
What happens with our data?+
It stays yours. Business and enterprise plans from Anthropic carry contractual commitments that your data isn't used for model training. We'll walk your IT and leadership through the specifics before anything is loaded.
What's the prep on our side?+
Very little. A discovery conversation with leadership, questionnaires your people fill out in minutes, and laptops on the day. We carry the rest.
How big can the group be?+
We keep each room at 10 or fewer and run multiple sessions for larger teams, adding technical guides to keep the ratio tight. What we won't do is put 30 people in a room and call it hands-on.
What does the support look like afterward?+
Office hours every week, and we stay close as your team builds further. Many engagements grow into a second phase once leadership sees what the first day produced.
Your team could be demoing by afternoon.
Tell us about your team and your bottlenecks. We'll come back with a concrete picture of what a training day would build, before you commit to anything.