One- To Multi-Day Exploration And Prototyping Workshops
AI Studio
Explore, build, and test an AI possibility against a real need.
What This Is For.
Build something that lets you test your assumptions. We examine the strategy and user needs, then develop a prototype to see what an assistant, agent-supported workflow, or early application can do.
Who It Is For
Founders, teams, and organizations with an AI idea or workflow question that needs to become concrete enough to test.
What We Work Toward
- Define the user need, intended value, and the uncertainty a prototype should resolve.
- Build the smallest useful version within an agreed technical and data scope.
- Evaluate quality, cost, usability, and implications for people and operations before deciding what to invest in next.
What You Experience.
I work with you on the strategy and build the prototype. We put it in front of the people who would use it and examine what works, what fails, and what needs to change.
How we approach the work
Define the learning question
Understand the user need and the uncertainty the prototype should help resolve.
Build something testable
Make the idea concrete enough to expose assumptions about technology, use, and business viability.
Learn and decide
Test it, examine limitations and feedback, and decide whether to continue, change direction, or stop.
What You Take Away.
We work toward these outcomes:
- A scoped prototype, workflow, or demonstration and an account of how it was built.
- Findings from the agreed tests, including failure cases, limits, and open assumptions.
- A recommendation to continue, change direction, or stop, with the people and capabilities needed for any next phase.
A Proposed Agenda.
We adapt this starting point to your context, experience, and the question you bring.
- Scoping · Before The Workshop
Choose The Learning Question
Understand customer need, the current workflow, available data, constraints, and what the next decision requires.
- Opening
Agree The Experiment
Define the prototype boundary, user scenarios, baseline, success and failure criteria, review responsibilities, and what is out of scope.
- Build Cycle · Agreed Scope
Make A Testable Version
Build the smallest version we can test. Use short demonstrations to catch misunderstandings and improve it.
- Test Cycle · With Users
Compare Against Reality
Test representative cases and edge cases. Compare the AI-supported approach with current work on quality, time, cost, and effort.
- Sensemaking
Connect Findings To The Business
Review technical results alongside user experience, roles, trust, integration, and market fit.
- Handover & Decision
Choose The Next Move
Hand over the prototype and test findings, including its limits. Agree what further development requires, who could take it on, or whether to stop.
Before And After.
Preparation
We first establish feasibility, access to suitable data and tools, and the expertise required. An existing development team or specialist partner can be involved from the start.
Continuing The Work
A promising prototype may lead to further product discovery, development with your team or a partner, or organizational work around adoption. Production delivery, infrastructure, and ongoing operation require their own scope.
The Perspective I Bring
A functioning prototype does not by itself establish a viable business or a workable operating model. We test the technology and the assumptions around it together.
Start With Your Situation.
Let's talk about what is happening and which form of support could help.
Introductory conversationA 15-minute introductory conversation to understand your situation and explore whether working together makes sense.
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