What the entry lab includes.
The proposed engagement is scoped with you before booking: one manager intake, one shared workflow, up to six participants, a two-hour live lab, a documented process, and a 30-minute follow-up. Pricing starts at $1,500. Larger groups, additional workflows, and implementation need separate scope.
This is training and guided practice. It is not an enterprise AI rollout, a security certification, or a guarantee of productivity gains. Team labs are arranged by conversation, not automatic checkout.
Pick work everyone can recognize.
Useful starting points include a weekly project update, a campaign brief, a client-summary format, or the handoff from approved notes to a first draft. Choose one that repeats and already has a clear owner.
Before the lab, decide what a good result contains, which sources the team may use, and who approves the final output. Bring your organization's tool and data-use requirements. Use synthetic examples when permission is unresolved.
A practical two-hour agenda.
- First 20 minutes: agree on the task, allowed material, quality standard, and approval boundary.
- Next 35 minutes: build the first draft together and record the decisions.
- Next 30 minutes: review facts, missing information, voice, usability, and risk.
- Next 20 minutes: repeat the process using a fresh example.
- Final 15 minutes: assign an owner and document the next real use.
The agenda is a proposed delivery plan, not a report of a previous client engagement.
Measure adoption, not enthusiasm alone.
Choose a baseline before practice. Record hands-on effort, review and correction effort, whether the output meets the agreed standard, and whether the process is used again. A positive workshop reaction is not proof of saved time.
Use the follow-up to ask what the team actually repeated, where the process failed, and what should change. Keep a workflow only when it earns its place in the work.
What to bring to the fit conversation.
Your team's role, the recurring task, approximate group size, approved tools, data restrictions, and one example of a useful result. Do not email confidential material or credentials.