Product · Precision · Vision
Define. Launch.
Scale AI products.
Where product, precision, and vision meet. I help B2B software product teams shipping AI define, launch, and scale products that earn real adoption — not features that just sound impressive.
Vision
AI products that are not just built — but truly used.
Product work with teams at
- NVIDIA
- Canonical
- Snyk
- Nutanix
The Problem
AI is not the challenge.
Defining a product that actually works is.
Many companies are rushing to add AI to their products — but without clearly defining what they are building. The result?
- 01Features that sound impressive but don't solve real problems
- 02Unclear user value
- 03Low adoption after launch
“We know we need AI, but we're not sure what to build or how to create user value.”
By the numbers
- 50%
of generative AI projects were abandoned after proof of concept by the end of 2025 — mostly due to poor scoping and unclear value.
Gartner, 2026 - 2 in 3
enterprises say 30% or fewer of their gen AI experiments will be fully scaled in the next 3–6 months.
Deloitte, State of Gen AI in the Enterprise, Q4 2024 - 1%
of company leaders describe their generative AI rollouts as 'mature' — the gap isn't ambition or spend, it's how AI is scoped and shipped into the product.
McKinsey, The State of AI / Superagency in the Workplace, 2025
Who this is for
Best suited for teams that need clarity before momentum.
Product Leaders
You need a sharper point of view on which AI opportunities are worth pursuing and which ones are noise.
C-Level Executives
You're looking to expand your company's footprint in AI with a clear, defensible product strategy.
Product Managers leading AI initiatives
You're driving AI features end-to-end and need frameworks to define scope, value, and adoption.
How I Work
A product mindset, applied to AI.
Discovery
Understand your users, your product, and what AI can realistically unlock.
Definition
Frame the right problem, validate the use case, and shape a concept worth building.
Delivery
A structured plan your team can execute — from MVP scope to launch readiness.
What I help build
Product expertise across the AI stack.
From infrastructure to agents — applied within different departments.
AI Infrastructure
Platforms, GPU orchestration, and ML pipelines that scale — turning raw compute into a product engineering teams can actually ship on.
Edge AI
On-device and near-device intelligence — bringing inference to where the data lives, with the latency, privacy, and reliability constraints that come with it.
Agentic AI
Autonomous agents, tool-use, and workflow orchestration — designed around real user outcomes rather than demo-friendly behaviour.
AIOps
Operational AI for monitoring, anomaly detection, and automation — embedding intelligence into the systems your teams already run.
Applied across departments in companies at any scale — wherever AI meets a real workflow.
What you get
Deliverables your team can act on at the end of the program.
Opportunity map
A prioritised list of AI use cases scored on user value, technical feasibility, and business impact — so you know which idea to build first, and which to drop.
Validated concept brief
A one-pager your engineering and design teams can run with: user problem, target outcome, success metrics, scope boundaries, and the non-goals.
MVP blueprint
Feature scope, user flows, model and data dependencies, and a launch-readiness checklist — the bridge between strategy and a buildable plan.
Adoption playbook
Trust, onboarding, and feedback-loop tactics tuned to your product — so the feature you ship actually gets used past week one.
Packages
Three ways to work together.
Fixed scope, fixed price. Pick the stage that matches where your AI product is today.
AI Opportunity Sprint
$2,999
Define the right AI feature before building
- Deliverables
- Prioritised opportunity map + validated concept brief
- Outcome
- Clear, validated AI feature concept
- For
- Product teams exploring AI but lacking clarity
- Timeline
- 1.5 weeks · Discovery → Definition → Output
AI MVP Blueprint
$6,999
Turn your AI idea into a buildable product
- Deliverables
- MVP blueprint with scope, flows, dependencies & launch checklist
- Outcome
- Structured MVP plan ready to build
- For
- Teams ready to build an AI feature
- Timeline
- 2.5 weeks · Design → MVP → Launch readiness
AI Adoption Lift Audit
$8,999
Improve adoption, usability and impact
- Deliverables
- Adoption playbook + optimisation roadmap with scaling tactics
- Outcome
- Stronger product with higher adoption
- For
- Companies with existing AI features or products
- Timeline
- 6 weeks · Audit → Optimize → Scale
Speaking & Workshops
Talks and hands-on sessions for teams and events.
Keynotes, Panels & Team Workshops
Product-led AI strategy, adoption stories, and scaling AI products — tailored to your audience and event. Interactive sessions for product teams — from AI opportunity mapping to building adoption-ready roadmaps.
Tailored training
Training for Product Managers building AI
Hands-on, custom sessions to help PMs confidently lead AI products and initiatives — from framing the right problem to shipping and scaling.
$1,999 – $4,999
Book a call →Why work with me
I'm product-led and technically fluent, not a dev shop.
I combine a product mindset with a practical approach to AI. My role is to bridge the gap between what AI can do and what actually makes sense to build.
- →I focus on real use cases, not abstract possibilities.
- →I help teams avoid building features that won't be used.
- →I bring structure to decisions that are often unclear.
Let's talk
Build the AI feature
your users will actually use.
Free 30-minute intro call. We'll talk through where you are and whether we're a fit.
Have questions? Read our FAQ →