
From repeated work to a shared AI workflow
We took the manual back-and-forth the team was doing by hand and turned it into a repeatable AI workflow, complete with a prompt library and templates anyone can reuse.
A four-week, hands-on program for teams of 5–20. We turn your team's real work into reusable AI workflows, one automated process, and a working prototype.
Your team has access to ChatGPT, Claude, Gemini or Copilot. A few people are experimenting. But there is no shared way of working, no reliable standard, and no clear path from “interesting demo” to “this saves us time every week.”
Everyone uses AI differently. Prompts, quality and results vary from person to person.
Nobody is checking whether the outputs are actually good enough for your business.
Generic webinars show possibilities. Enterprise programs cost too much. Your team needs the middle ground.
In four weeks, your team moves from experimenting with AI to using it inside real business workflows.
A common way for your team to use AI for recurring work.
Reusable prompts built around your team's actual tasks and data.
A repetitive business task turned into a working automated process.
A useful internal AI tool demonstrated live on the final session.
A follow-up check-in to see what stuck and unblock what didn't.
Real workflows, automations and prototypes teams walk away with — not slides about what AI could theoretically do.

We took the manual back-and-forth the team was doing by hand and turned it into a repeatable AI workflow, complete with a prompt library and templates anyone can reuse.

We found the task eating the most hours every week and built the automation that now handles it end to end — sorting, routing, and completing it without manual input.

By the end of the program the team has an actual working tool, not a slide deck — something people open and use to get real work done.
Every session is built around your team's actual work, not sample data or toy examples.
Claude, ChatGPT, Gemini, Copilot and other tools — mapped to your industry and the jobs your team actually does.
Turn real work into repeatable prompts and workflows your team can use consistently instead of starting from scratch every time.
Your team chooses something repetitive it does every week and builds a working automation around it.
A working internal tool tied to something you actually need, demonstrated live on the final call.
See what stuck, unblock what didn't, and help the team keep using what it built.
Recordings, workflows and your prompt library stay with your team for future use and onboarding.
More than 250 professionals have trained with Ranbeer, with an average rating of 4.9/5.



Your team doesn't need another afternoon of impressive demos. It needs enough structure, practice and follow-through to change how work gets done.
We work from your team's actual workflows and problems, not generic examples.
The team builds during the program instead of passively watching.
Workflows and prompts become reusable team assets rather than individual tricks.
The 30-day check-in gives the team a reason to keep using what it built.
The exact scope depends on your format, team and implementation depth. We agree on the number before anything is committed.
Includes the four-week live program, hands-on implementation, your team's reusable AI assets, and the 30-day check-in.
A few practical questions we hear from small teams.
No. It's designed specifically for teams without a dedicated AI or L&D department. The goal is practical implementation, not a large transformation project.
No. Some familiarity helps, but the program is designed to create a shared baseline and shared workflows across the team.
No. The program can cover Claude, ChatGPT, Gemini, Copilot and other tools. The focus is choosing what works for the job.
Virtual preferred. Open to travel, based on initial call.
The intro assessment is designed to establish fit before you commit. We'll tell you honestly if the program isn't appropriate for your team.
Tell us your business, team size and industry. In a 20-minute conversation, we'll look at how your team currently uses AI and tell you whether this is a fit.