Before: collect the real work
We ask what your team repeats every week and gather concrete examples: the emails, documents, reports, reviews, and requests that consume time. The workshop is built from those.
Team workshop
An AI workshop on your work, not a demo dataset.
A full-day artificial intelligence workshop for the people who own a process. They use their own tools and their own files. Live in Tampa Bay, or remote.
The premise
AI tools are easy to buy. Making them reliable is the hard part.
Most teams already have seats. What they do not have is a workflow someone will actually run: defined inputs, a review point, and a person who owns the output. Buying Claude is not adoption. A full-day workshop is how we start one process with the people who do the work.
What it is
Full-day. Your team. The work you already do.
We collect the repeated tasks before the session. During the day, people build prompts and workflows against those examples, in the tools they already use. They leave applying AI to real work, not notes about someone else's use case.
During: build in the room
Participants work on their own tasks with guidance. The output is a set of prompts and workflows that already fit the way the work is described internally.
After: keep the artifacts
The prompts, workflows, and operating notes stay with your team. Nothing about the day depends on us being in the room again.
Where we run it
On-site in Tampa Bay. Remote otherwise.
Live workshops and demos in Tampa, St. Petersburg, and Clearwater, in the room with the people who own the process. Teams outside Tampa Bay run the same full-day format over video. Either way, they use their own files.
Judgment
When to trust, edit, or escalate.
The core skill is reading output critically: knowing which parts to verify, which to rewrite, and which tasks should never have been delegated in the first place.
Language
How to describe work clearly.
Most bad output traces back to a vague request. Teams practice stating inputs, constraints, format, and what a good result looks like.
Next step
Which work deserves a system.
Sessions usually surface one or two processes that should not stay as a chat window. Those become enablement, a custom build, or nothing at all. If the process needs live system access, that is workflow automation consulting, not a connector tour.
Industries
Start with the process you already run.
We run the same workshop for real estate, law firms, nonprofits, and ecommerce teams. The industry changes. The rule does not: start with one process.
Common questions
What teams ask before they book.
Is this a generic artificial intelligence workshop?
No. We do not run a feature tour. The day is built from the process your team already repeats. If you want a smaller working session first, that is the enablement workshop.
Who should be in the room?
The people who own the work, plus whoever will make decisions about changing it. Mixed rooms of operators and their manager work better than either group alone.
Do people need technical experience?
No. The workshop is about judgment: when to trust output, when to edit, when to escalate, and how to describe work clearly enough that a model can help with it.
What happens after the day?
You keep what was built. If the session surfaces a process that should be systemized rather than done by hand, the next step is a build, quoted against what the day found. Both come after the workshop, not instead of it.
Bring one process your team repeats every week.
Tell us the audience, the tools, and the workflow you want covered. On-site across Tampa Bay, or remote. That is altr.