Working prototype
An AI assistant, workflow or small tool tested with realistic example data.
For founders and business owners
The Business Build Lab is a hands-on training day for people who want to use AI in their own company. We choose one valuable workflow and build it together.
You bring the process knowledge. We provide the structure, tools and build support.
The exact build depends on your process. The deliverables stay concrete.
An AI assistant, workflow or small tool tested with realistic example data.
Prompts, workflow logic, templates and documentation you can continue using.
Clear actions for validation, security, ownership, rollout and measuring value.
Programme
We limit the scope so there is enough time to understand, build and test the solution.
Turn a recurring frustration into a workflow small enough to build in one day.
Decide what AI handles, what stays human and which tools or data are needed.
Create the prototype, run realistic cases and improve the instructions and handoffs.
Define what must happen before the prototype becomes part of daily work.
The first public labs are planned as small groups so every participant receives hands-on support.
During the lab we aim for a useful working prototype. Production rollout may still require security review, integrations, permissions and testing with real users.
Share the workflow and sample inputs before the session so the scope stays realistic.
Work in guided sprints with direct help when a tool, prompt or integration blocks progress.
Test the result and decide whether to implement internally or continue with AI JOB TEAM.
No. You need good knowledge of your own process and basic confidence using digital tools. We match the build approach to the participant.
No. Participants may work on different business processes within a shared method. We keep each scope small enough to support properly.
Usually it is a tested prototype. Some no-code workflows may be close to operational use, while solutions with sensitive data or complex integrations need additional implementation work.
Registration
Tell us what repeats, where the work gets stuck and what a useful result would look like. We will confirm whether it fits the Build Lab.