Training Program
Role-specific tracks for technical and non-technical teams — hands-on workshops on the actual AI tools, not slide decks.
Enterprise AI Expertise
AI only works if your team
AI only works if your team
actually uses it.
Training, documentation, change management, and internal champion programs that turn AI deployments into AI adoption — because the skills gap, not the technology, is the real bottleneck.
2 enablement slots open this quarter.
—— The real bottleneck
You built the AI. Nobody's using it.
The technology isn't the hard part anymore — adoption is. Most deployments stall because teams were never trained, supported, or given a reason to change how they work.
—— What we do
From deployment to actual adoption.
Training, documentation, champions, and a feedback loop — the work that turns an AI deployment into something your team actually uses every day.
Documentation System
Complete user guides, API docs, runbooks, and an internal knowledge base for every AI system you run.
Champion Program
Identify, train, and support internal AI champions in each department to drive adoption from within, not top-down.
Feedback & Iteration Loop
User-feedback collection, adoption-metrics tracking, and continuous-improvement recommendations on a quarterly review cadence.
—— How it works
Four weeks to measurable adoption.
A focused engagement that ends with dashboards, not hope — your first adoption report lands within two weeks of launch.
1
Week 1
Adoption Assessment
Map current tool usage, identify resistance points, and interview key users and non-users to find where adoption is really stuck.
2
Week 1–2
Program Design
Design role-specific training tracks, the documentation architecture, and the champion-program structure for your teams.
3
Week 2–3
Training Delivery
Hands-on workshops for each role group, with recorded sessions and quickstart guides so nothing depends on being in the room.
4
Week 3–4
Launch & Measure
Deploy documentation, launch the champion network, and set up adoption dashboards — first report within two weeks.
—— Investment
Clear pricing. No surprises.
Scoped to your team size and the number of AI systems in play.
Fixed-scope engagement
$10K–$25K
2–4 weeks · based on team size and number of AI systems.
Get started →- Adoption assessment and resistance analysis
- Role-specific training program (live + recorded)
- Complete documentation system for all AI tools
- Internal champion identification and training
- Adoption dashboard and metrics framework
- Quarterly review template and feedback-loop design
—— Selected work
Work we've shipped and scaled.
Enterprise AI and products we've put into production.
—— Common questions
What teams ask first.
Bundling with a build, handling resistant teams, technical vs. non-technical training, and what we measure.
Can we bundle this with a build engagement?
Yes — it's our recommended post-delivery add-on, and it measurably increases adoption rates. Most clients add it to a product build or an agent build.
How do you handle resistant teams?
We address the root causes — job-displacement fears and lack of confidence — with role-specific use cases that show AI augmenting people's work rather than replacing it.
Do technical and non-technical teams get different training?
Yes. Technical teams get architecture deep-dives and API walkthroughs; business teams get workflow integration and prompt engineering tailored to their day-to-day.
What metrics do you track?
Active daily users, feature-utilization depth, time-to-value, support-ticket volume, user satisfaction, and the business-outcome metrics that matter to your team.
—— Field notes
What we’re writing about.
Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.
