Business user building a small tool with an AI assistant
Why this program

Good ideas are stuck in the IT queue

Your teams have ideas for small tools that would save them hours each week, but those requests wait months for IT. AI tools now let someone with no coding background describe a tool and get a working first version the same day. The Vibe Coding Academy gives your business teams that skill, and the guardrails to use it safely, so good ideas get built instead of waiting.

It also answers the questions IT and risk rightly ask: who built which tool, what data it uses, and who keeps it running over time. Everything your teams build sits inside rules your IT team agrees to.

How the Academy runs

A coach takes each group through four stages, using tasks from the participants’ own work.

01
Show
Bootcamp, day 1

The coach builds a tool live with the group, from spotting a problem to testing the result, so people see every step. Then, with the coach, each person looks at their own week and picks the task worth automating.

02
Build
Bootcamp, day 2

Each person builds a first version of a tool for the task they picked, with the coach working alongside them.

03
Guide
Build clinics

In the weeks after the bootcamp, the coach runs clinics where people bring their tools, fix what broke, and add what was missing.

04
Share
Ongoing

Tools that work are documented and shared, so one person’s build helps the colleagues who do the same task.

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A hackathon shows people what AI building can do. The Academy gets them to the point where they can build without the coach.

Guardrails your IT team agrees to

Every Academy starts with a short set of rules, agreed with IT and risk, so tools built by business users stay visible and safe to use.

Approved tools

Which AI building tools people may use, and on which company accounts.

Data rules

Which data may go into a prompt or a tool, and which stays out (customer records, personal data, confidential financials).

Sandbox first

Where tools run while they are being tested, kept separate from production systems.

Handover to IT

When a tool matters enough that IT should review it, take it over, or rebuild it.

If your organization doesn’t have these rules yet, we write them with your IT team as part of the AI SDLC Playbook & SOPs.

What you walk away with

  • Tools in daily use

    Each participant leaves with a tool built for a real task in their own work.

  • People who can build on their own

    Participants who can build, test, and fix small tools without the coach.

  • Agreed guardrails and a shared playbook

    Written rules on tools, data, and handover that IT has signed off, plus a record of what worked.

Next step

Book a Session