Training & Adoption
Your team becomes the AI team, confident, fluent, and independent.
Hands-on workshops for executives and operators, built around the workflows you actually run. We don't teach AI in the abstract. We train your people on the tools they'll use Monday morning.
THE PROBLEM
You bought the tools. You ran the pilot. The dashboards say usage is flat and the team has quietly gone back to the old way. AI without adoption is just a software bill.
- Generic AI courses that do not match your actual systems or work.
- Executives who cannot evaluate AI proposals with confidence.
- Operators who feel the tools are extra work, not less.
- No internal champions, so every question routes to one overloaded person.
THE APPROACH
We build training around the exact workflows your team runs every week. Executives get the strategic framing, managers get the operating playbooks, and operators get hands-on practice with the tools they will actually use.
Process
- Week 1: Audit and design: We map current tooling, interview a sample of users, and design role-based curriculum tied to your real workflows.
- Week 2: Executive session: A working session with leadership on AI strategy, governance, vendor evaluation, and how to read AI metrics.
- Week 3 to 4: Role-based workshops: Hands-on workshops for each function, using your tools and your data, with take-home prompts and templates.
- Week 5 to 6: Champion enablement: We train your internal champions, hand off the playbook, and run office hours so adoption holds after we leave.
Deliverables
- Executive AI literacy session: A working session covering strategy, ROI, governance, and how to ask sharp questions of AI vendors and internal teams.
- Role-based team workshops: Hands-on workshops per function. Sales, ops, support, finance, engineering, with curriculum tuned to each team.
- Prompt and workflow library: A living library of vetted prompts, templates, and workflow guides indexed by role and tool, ready for day-to-day use.
- Internal AI champion playbook: A documented program for selecting, training, and supporting internal champions so adoption is owned by your team.
Outcomes
- Active weekly usage across every trained role.
- Executives who can evaluate AI proposals with confidence.
- An internal bench of champions instead of a single overworked owner.
- A library that compounds in value as new workflows ship.
Who it is for
- Teams that have tools but flat or declining usage.
- Companies rolling out a new AI platform across functions.
- Leaders who want adoption to outlast the launch announcement.
Frequently asked questions
Can you train remote teams?
Yes. Sessions run live over video, with recordings, breakouts, and take-home exercises tied to your real systems.
Do you teach a specific tool or are you tool-agnostic?
Both. We are tool-agnostic at the strategy layer and tool-specific at the workshop layer, using whatever your team actually runs.
How do we measure adoption?
We baseline usage before training, then track active users, weekly sessions, and outcomes per workflow during and after.
What is the ideal group size?
Workshops top out at about 15 per session for hands-on quality. Larger orgs run multiple cohorts in parallel.