Your Team Has the AI Tools. They Are Not Getting Real Output From Them.
Your team is probably already using ChatGPT, Claude, Gemini, or Microsoft Copilot. Often without strategy, often without prompt discipline, often producing output that looks useful but does not hold up in production. The training is hands-on: your staff, your actual workflows, the platforms your team already has access to. They leave with templates, prompt patterns, and working processes they can use the next morning.
The AI adoption gap most businesses are sitting in right now
Most small and mid-size businesses have already bought in on AI tools. The licenses are paid for. ChatGPT Plus, Microsoft Copilot, Claude. They are on the company card and on employee laptops. Forty-five percent of CEOs report that staff resistance or low adoption is their primary AI obstacle, not access to the tools themselves.
The training most teams have received (a lunch-and-learn, a YouTube video, a generic corporate workshop covering the basics of AI) teaches people what AI is, not how to get real output from it for the specific work they do. The result is a pattern most business owners recognize immediately: staff use the tools occasionally for simple one-off tasks, get mediocre results, and conclude that AI is not that useful for their job.
The tools are useful. The training is the problem.
What the training actually covers
Every session is built around your team and what your team actually does. Before the training day, I collect information about your workflows: what your staff does repetitively, what tasks take the most time, what they have already tried with AI tools and where it fell flat. The session then works through those specific use cases directly.
The focus is on producing real output, not on understanding how AI works. Staff leave knowing how to structure their requests to get consistent, usable output. They know which tool handles which kind of task better. They have templates they can use the next morning. They have worked through their actual job tasks, not contrived examples.
A customer service team learns to handle customer communications and internal documentation at twice the speed. An operations manager learns to use AI for reporting, analysis, and vendor communication. A sales team learns to use AI for research, outreach, and follow-up in a way that does not sound like it was written by a robot. A technical team learns to use AI for code review, documentation, and troubleshooting in the tools they already use.
Session formats
Half-Day Workshop, $1,500
Three to four hours, up to 12 staff. Works best for teams that have had some AI exposure and need to move from occasional use to consistent, productive use. Pre-session workflow intake. Hands-on exercises using your real tasks. Custom prompt templates your team keeps. Q+A at the end. Available on-site in Southern California or remote via screen share.
Full-Day Workshop, $2,800
Six to seven hours, up to 20 staff. Covers multiple departments or roles in a single session, with role-specific breakout exercises. Includes deeper coverage of integration with the tools your team already uses: Microsoft 365, Google Workspace, your CRM, your industry-specific software. Custom workflow templates for each role. Follow-up Q+A session 30 days out included.
Monthly AI Coaching: $750/month
For businesses that want ongoing adoption support as their workflows evolve. Two sessions per month with team leads or department managers. New use cases as tools and needs change. Accountability for adoption. Works well as a follow-on to an initial workshop or as a standalone engagement for companies deploying AI tools incrementally.
Who this is for
Small and mid-size businesses in Southern California (Riverside County, Orange County, Los Angeles) with 5 to 100 employees who have AI tool licenses but are not getting real business output from them. The training is industry-agnostic: the same approach that works for a professional services firm works for a distributor, a retailer, a healthcare practice, or a manufacturing company. The content is different because your workflows are different.
Platforms Covered
Claude (Anthropic): structured document work, long-context analysis, research and writing workflows, code assistance.
ChatGPT and GPT-4/GPT-4o (OpenAI): general-purpose tasks, automation integrations, custom GPTs, API-level workflow design.
Gemini (Google): Workspace-integrated workflows, Google Docs/Sheets/Drive automation, teams already in the Google ecosystem.
Microsoft Copilot: teams already in Microsoft 365. Outlook, Word, Excel, Teams integration patterns.
Cursor, GitHub Copilot, Claude Code: for development teams specifically, covered when the training includes technical staff.
Training is built around what your team is actually using, not a generic intro-to-AI tour.
What to expect
Sessions are available in-person for Southern California businesses or remote for companies outside the area or with distributed teams. In-person sessions require a conference room, a projector or large display, and Wi-Fi. Remote sessions run via Zoom with screen share exercises.
Booking lead time is typically 1-2 weeks. Custom sessions for specific industries or tools are available; reach out with the details.
Workflow Intake
You describe what your team does: tasks, tools, pain points. I identify the highest-value AI use cases for your specific workflows before the session.
Custom Prep
Session materials are built around your industry, your tools, and your team roles. Not a generic AI overview deck.
Hands-On Session
Team works through real tasks using AI tools during the session. Not lectures. Practical output your staff can use the next day.
Templates and Follow-Up
Every attendee leaves with workflow-specific prompt templates. Full-day sessions include a 30-day follow-up session.
Tell me what your team is trying to do with AI. I will tell you how to get there.
Describe your team (size, roles, what they do day to day) and what AI tools you have already. You will get a direct recommendation on session format and what the training would cover for your specific situation.
Common questions
- What does AI team training cover?
- Practical workflow training for teams using Claude, GPT-4, Gemini, or Copilot. Real work in the client actual tools, building skills that stick after the session ends.
- How is this delivered?
- Usually 2 to 4 sessions over a few weeks, remote or on-site in Southern California. Each session tied to an actual problem the team is trying to solve. Follow-up is included.
- What size teams does this work for?
- 5 to 40 people. Smaller teams get more depth per person. Larger groups work best when split by department or function.
- Does the team need existing AI licenses?
- Helpful but not required. Rofsky recommends platform setup based on what your team already uses.
- What do teams typically walk away with?
- Working prompts and workflows saved in a shared library, a list of identified automation candidates, and the judgment to know when to use AI versus when not to.
- Is this a one-time engagement or ongoing?
- Both models available. One-off training for teams that need a kickstart. Retainer for organizations that want monthly check-ins as the tools evolve.