Live, role-specific ChatGPT training for organizations rolling out ChatGPT Enterprise or Team — from prompting fundamentals to custom GPTs and agentic workflows, measured before and after.
Across every enterprise we measure, prompting — not risk awareness — is the largest skill gap. Our curriculum is weighted accordingly: hands-on instruction over governance lectures.
Analysts train on research and synthesis, marketers on campaign production, operations on documentation and process — every function practices on its own tasks, not toy examples.
Advanced tracks cover custom GPT building, deep research workflows, data analysis, and multi-step automation — so usage graduates from Q&A to compounding workflows.
jump in measured prompting confidence after a single structured workshop at a leading North American consumer bank — the largest gain of any dimension we track
typical pre-training prompting confidence at enterprises that have already deployed an AI assistant — versus 3.9 for safe use, showing exactly where the training gap sits
saved per employee per day on average after completing our programs, with 20–40% workflow-efficiency gains starting in week one
Baseline skills and usage against deployed seats, verify technical readiness and licenses, align executives, and identify the first use cases.
Expert-led, hands-on cohorts tailored to role and industry — delivered inside the tools and policies your teams already work with.
Every participant builds a real workflow or agent, coached by our experts and showcased to leadership — production artifacts, not certificates.
Manager cascades, internal competitions, and pre/post measurement convert the proving cohort into an organization-wide academy.
1,200+ AI and data domain experts drawn from institutions like Harvard, MIT, Stanford, Google, and Microsoft — fielded per engagement and matched to your industry, roles, and technology stack, tool-agnostic across ChatGPT, Copilot, Gemini, Claude, and custom in-house models.
Lead instructors run live, cohort-based sessions of 30 to 300 learners — from 3-week executive intensives to 4-month enablement tracks — while embedded AI coaches provide function-specific coaching and capstone review, producing time savings from week one.
Our advanced-manufacturing engagements surfaced why AI adoption stalls: teams lack workflow decomposition, systems thinking, and process engineering. We teach these pre-enabling skills alongside the tools — the difference between issuing licenses and redesigning work.
Skills baselines before training, pre/post deltas after, usage coverage against deployed seats, and capstone ROI review — the instrumentation discipline behind $1B+ in documented client productivity gains.
| Tier | What teams learn |
|---|---|
| ChatGPT 101 — Universal fluency | Prompting fundamentals, context and instruction patterns, safe and responsible use under your policies, and the daily habits that make usage stick. |
| ChatGPT 201 — Role-based application | Function-specific programs: research and analysis, content and communications, data work with Advanced Data Analysis, meeting and document workflows — on your real tasks. |
| ChatGPT 301 — Custom GPTs & automation | Custom GPT design, knowledge-grounded assistants, deep research and agentic patterns; capstone workflows reviewed by expert AI coaches and showcased to leadership. |
Production artifacts, not exercises. Recent advanced cohorts have shipped:
Answers to what enterprise teams ask before rolling out ChatGPT training.
Get your organization's AI Maturity score in minutes, with a personalized roadmap — free. Ready to go further? Enterprise programs are typically scoped for cohorts of 50+ learners.