Define the outcome before the tool
Clarify what should change, how it will be measured and which constraints are preventing the result today.
AI strategy, systems and execution
Turn AI ambition into measurable outcomes.
I work with leaders from strategy through execution, setting direction, building the required technology and organizational capability, and driving the work until results show up in operation.
Built across global technology, games and founder-led ventures
Outcome before adoption
Not AI adoption for its own sake. A result the organization can measure.
The useful question is not how much AI an organization uses. It is what problem must be solved, what outcome matters and which combination of technology, work design and leadership will produce it.
Understand the whole system
Map the decisions, workflows, responsibilities, information, technology and organizational conditions behind the visible problem.
Use the right technology
Apply AI where it creates real leverage, alongside the software, data, integrations, infrastructure and human judgment the outcome requires.
Build a capability that produces evidence
Carry the answer into operation, measure what changes and refine the system until it creates a result people can use and verify.
How we make it real
Work backward from the result.
A focused first move replaces abstract technology discussion with a clear outcome, a working intervention and evidence about what should happen next.
01
Clarify the outcome
Define the result that matters, why it matters and what evidence will show that the work succeeded.
02
Map the real problem
Find the decisions, constraints, technology, workflows and organizational conditions shaping the current result.
03
Design and build the answer
Use the combination of AI, software, data, operating design and leadership the problem actually requires.
04
Measure and improve
Put the capability into operation, observe what changes and keep adapting until the intended outcome is real.
Outcome Systems Sprint
One consequential problem. One measurable outcome. One working capability.
Typically two to four weeks. We use AI or other technology where it creates real leverage and judge the work by evidence in operation.
Selected evidence
Systems, products and technical foundations built under real constraints.
The industries and technologies change. The recurring work does not: understand the problem, find the constraint and build the complete system required to change the outcome.
Large-scale software organization · Technology and transformation leadership
Quality Intelligence for Complex Software
Building organizational memory for software quality
Connected crash logs, telemetry, defect history and selected player-feedback data into a shared intelligence layer that could preserve context and help teams move from evidence to ownership and action.
The goal was not another dashboard or ticketing workflow. It was a shared organizational memory for software quality.
Quality intelligenceCrash telemetryOrganizational memoryAI-assisted workflows
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Stambol · Co-founder and technology/product leader
Stambol XR
Turning spatial ideas into usable products
Co-founded and led immersive and real-time product work across visualization, training, simulation, healthcare, real estate and interactive experiences. Projects moved from ambiguous client needs through product, architecture and delivery.
XRReal-time 3DTraining and simulationVisualization
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Ubisoft · Technology leadership
Rainbow Six
Technology leadership inside a large-scale live-game ecosystem
Worked within the Rainbow Six ecosystem, the largest player-scale game environment of my career to date, across technology, engineering effectiveness and the systems supporting continued live development.
Rainbow SixLive gameTechnology leadership
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OIX · Co-founder and technology/product leadership
OIX
A creator-focused platform for identity, commerce and ownership
Co-founded and led OIX, a creator-focused social platform combining identity, commerce, marketplace, digital ownership, Azure-based distributed services and blockchain integrations.
MarketplacesIdentityDigital ownershipDistributed systems
Read the entry ↗Why me
I can move from the problem to the working system.
For more than 25 years I have worked across Microsoft, Electronic Arts, Ubisoft and founder-led ventures, from low-level technology, operating systems research and AAA production to immersive systems, products, companies and organizational change.
That range matters when the answer requires more than one technology or discipline. I do not begin with a preferred tool or stop at a recommendation. I work backward from the outcome and help design, build and lead whatever the real system requires.
About the backgroundStart with the outcome
What measurable outcome is your organization struggling to produce?
Bring the problem, the result that matters and the constraints you see today. We can determine which combination of AI, technology, operating design and leadership is actually required.