Know what to build before you build it.
A focused discovery phase that turns a long list of ideas into a short, ranked plan. We interview your team, study the workflows, prototype the riskiest assumptions and give you a roadmap with costs, timelines and expected returns.
Deliverables, not just hours.
A ranked list of opportunities with expected impact
A clickable prototype or technical proof of concept
Architecture and data readiness review
Budget, timeline and team plan
Risk, security and compliance notes
Tools we often use
- Workshops
- Figma
- Claude
- OpenAI
- Python notebooks
- Miro
Part of
AI & agents
Find the right opportunities, then build AI that does real work.
Common ways teams use this.
Where to start with AI
Cut through the noise and find two or three use cases with clear returns.
Before a big build
Validate scope, architecture and cost before committing a full budget.
A second opinion
An independent review of an existing AI project, plan or vendor proposal.
A clear path from idea to impact.
Interviews and mapping
We talk to the people closest to the work and map where time and money go.
Score the opportunities
Each idea is scored on value, feasibility, data readiness and risk.
Prototype the riskiest bet
We build just enough to prove or disprove the key assumption.
Roadmap and plan
A clear plan you can run with us, with another partner, or in-house.
Common questions.
Can't find what you're looking for? We're happy to talk it through.
Usually two to four weeks, depending on how many teams and systems are involved.
Have an idea? Let's make it real.
Tell us what you're building. A senior member of our team will reply within one business day with honest next steps, even if we're not the right fit.