Your team's next AI skill won't come from a course.
A Practice Environment is one working automation, built end to end with your team, in your environment, on your data. They leave with it running, and with the ability to build the next one.
30 minutes. We pick the workflow together.
Completion certificates are a proxy metric.
Companies measure AI training by course completions. Completions went up; capability did not. Meanwhile the team went around the training entirely, running unvetted tools against real company data.
This behavior introduces shadow agents, meaning AI running in your business that nobody sanctioned, secured, or can see.
Verified Industry Finding
According to Microsoft and LinkedIn research, 78% of employees using AI at work are bringing their own unvetted tools, running sensitive company data through unsanctioned models.
The fix is not another course. It is practice, on real work, with the guardrails built in.
Practice Environments, not courseware.
Our engineers spend the day with your team building one functional automation, end to end, on a workflow you actually run. Every design decision is narrated: the tool, the prompt, the guardrail, the point where a human stays in the loop. It is not a demo and not a lecture. Your team builds it, your team keeps it, your team can extend it.
Courseware
FORMAT: WATCH / COMPLETE / FORGET
Passive ingestion of static slide decks and generic prompt guides. Zero working software lands in your stack.
Demos
FORMAT: VENDOR PRESENTS / GONE AFTER CALL
Slick presentations on prepared mock environments. The capability disappears when the screen share ends.
Practice Environments
FORMAT: BUILT BY TEAM / RUNNING MONDAY
Active execution alongside Groundwork engineers. One functional automation deployed inside your secured infrastructure.
How the day runs.
Map
We whiteboard the workflow with your team: who touches it, where the hours go, where it breaks.
Build
One automation, end to end, on your data. Every decision narrated so your team can repeat it.
Extend
Your team leaves with the automation running and a clear view of what to build next.
Your environment. Your tools.
We run Practice Environments in Claude Desktop by default. It is what our own engineers build with daily. If ChatGPT Enterprise is your company's standard, we build there.
The skills transfer because we teach the decisions, not the buttons: what to automate, where the guardrails go, when a human stays in the loop.
Who this is for.
Practice Environments are built for US companies from $10M to $1B in revenue operating within professional services, technology, healthcare, manufacturing, financial services, logistics, and retail.
Typically brought in by the function head who owns the workflow, or the L&D leader who owns the capability gap.
If you want a prompt-engineering course, we are not the right fit. If you want your team building governed automations on their own work, book the call.
$112k+
In immediate revenue opportunities identified125+
Organizations trained across enterprise sectors
Frequently Asked Questions
Is this a course?
No. Nothing is pre-recorded. The automation is built live on your workflow.
What about our data?
Built in your environment under your access controls. Nothing leaves your stack.
How much time from our team?
One day for participants. The operator joins for open and close.
What does it cost?
Scoped on the call. It depends on format (half day or full) and workflow, and the fee credits toward the Intent Assessment (an in-depth audit that maps your team's workflows, identifies AI opportunities, and quantifies operational waste) if you continue.
What happens after?
Most teams continue to an Intent Assessment, meaning a two to three week audit completed under five hours of your team's time that yields a quantified finding.
Pick the workflow. We'll build it with your team.
Fill in the details to schedule the 30-minute scoping call. We will pick the workflow together during this session.