From AI curiosity to practical capability.
Sound familiar?
- “We know AI matters but don’t know where to start.”
- “Our processes are still manual and it’s costing us.”
- “Our team spends too much time on repetitive work.”
- “We have AI ideas, but no real plan to implement them.”
- “We need an actual AI product strategy — not a slide deck.”
What you leave with
A validated AI opportunity, not just an idea
A working prototype your team can react to
A workflow that actually gets used
A roadmap you can execute without me
How I Work
🔍
Discover
Understand the real problem
🗺️
Map
Find where AI creates value
🧪
Prototype
Build something testable
✅
Validate
Test with real users
🚀
Implement
Create a practical roadmap
📈
Improve
Measure and iterate
Ways to work together
AI Opportunity Sprint
Identify the right opportunities and prioritise what to pursue.
- Best for
- Teams unsure where AI actually fits
- What we do
- Map your processes, surface real opportunities, prioritise by value and feasibility
- What you leave with
- A short list of validated opportunities and a clear next step
AI Product Discovery
Turn an idea into a validated concept, product direction, and prototype.
- Best for
- An idea that needs shape before it needs code
- What we do
- Define the problem, sketch the product, build a testable prototype
- What you leave with
- A validated concept and a working prototype
AI Workflow Transformation
Redesign a real process using practical automation and AI assistance.
- Best for
- A manual process that's costing real time
- What we do
- Redesign the workflow, introduce practical automation, pilot with real users
- What you leave with
- A working workflow and an implementation roadmap
Selected Example
BECOME
This exact process, applied to my own idea: PRD to live AI product in three weeks. It's the clearest proof I have that the process works — I don't just advise it, I use it.