
Nick Lawrence
Co-Founder
We help teams find the highest-value AI product opportunities, validate them, and turn them into clear roadmaps your organization can execute.
Book a free consultation
You need to know your AI product will succeed before you commit engineering resources. We help you connect AI to validated user problems. We handle the research, test the assumptions, and provide product management consulting to map out what to build next.
We talk to customers and internal stakeholders to understand jobs-to-be-done, buying triggers, trust barriers, and what “value” means in their world.
Interviews, surveys, and review analysis
Segmentation and prioritization of audiences
Problem framing and success metrics
We make a working prototype early, so you can test the experience before you commit.
Concept flows and working software prototypes
Lightweight MVP definition
Validation plan: what to test, with whom, and how to measure it
We bring decision-makers and builders into the same room to make clear choices and remove hidden disagreement.
Opportunity mapping
Scope and constraints (data, privacy, risk)
Product positioning and differentiation
AI products fail when teams only validate one side of the triangle. We pressure-test all three.
Value model (time saved, revenue impact, cost to serve)
Feasibility review with the engineering teams
Risk and compliance considerations
Leave with a plan your product and engineering teams can ship.
Evidence-based roadmap
Milestones, dependencies, and resourcing notes
Launch plan and learning loop
Our approach pairs rigorous research with agility. You work directly with a small team of senior experts who understand UX strategy and AI implementation. We evaluate every idea to ensure it solves a customer problem, works with the data you have, and makes financial sense.
We identify the areas where AI removes friction for your users and drives measurable value for your business.
We speed up the validation process so you can get your product into customers’ hands faster.
Everyone from engineering to sales understands what you are building, why you are building it, and who it serves.
You make decisions backed by data and direct user feedback. We empower your teams to launch new AI products with complete confidence.
Traditional product strategy relies on software being completely predictable. AI relies on probabilities. You validate ideas by getting real data and real users into a rapid testing loop.
Long upfront discovery phases
AI features that follow market expectations
Comprehensive design documentation
Product teams working in silos
Rapid idea validation loops
AI features that solve specific user problems
Working prototypes that prove technical feasibility and demand
Teams aligned around a shared goal
Book a free consult and we'll run a working session focused on your specific AI product challenge.
Schedule nowA quick read on where your highest-value AI opportunities actually are
An assessment of what's worth validating now versus what can wait
A look at where your current assumptions carry the most risk
Clear next steps you can take in-house or with us
Customer research, rapid prototyping, validation, and a roadmap your team can ship.
This work needs judgment. Our founders stay involved from kickoff through strategy, reviews key deliverables, and joins working sessions where decisions get made—positioning, proof, and the prompts that shape revenue.
You’ll always know what we’re doing, why it matters, and how we’re measuring progress.

Ready to identify the right AI product opportunity and validate it fast? Fill out the form to book your free consultation.