AI Board Advisory
Advise boards and senior leaders on AI opportunities, investment choices, governance, and the decisions that guide execution.
- Portfolio and investment design
- Governance and decision rights
- Human + AI workflow redesign
We turn AI ambition into governed platforms, intelligent operations, and products that survive contact with the real enterprise.
Enterprise AI & Technology Executive
Open to senior leadership, advisory, and AI engagements.
Two decades across enterprise architecture, data, AI, SaaS, and automation—from first principles to production scale.
Advise boards and senior leaders on AI opportunities, investment choices, governance, and the decisions that guide execution.
Design sovereign inference, agentic infrastructure, knowledge systems, and controls for serious enterprise use.
Build systems that observe, decide, act, and learn across operational, commercial, and knowledge workflows.
Build the organisation around the technology: product discipline, engineering capability, adoption, and measurable value.
Connect AI initiatives to revenue, cost, productivity, and service outcomes, with a clear case for investment and a way to measure value.
Nate is your hands-on chief engineer: an army of one to deliver, fix, and execute the ideas you have in mind.
Enterprise AI and technology executive with 20+ years building and scaling AI, automation, data, cloud, and digital platforms across APAC and EMEA.
At NEOM, Nate led AI & Automation until July 2026—moving AI from experimentation into production across operations, workforce productivity, enterprise workflows, and customer-facing services.
Built the operating system around enterprise AI: strategy, standards, infrastructure, models, product delivery, automation, capability building, and executive governance.
Production assistants, AI applications, deep-research pipelines, and automations integrated with repositories, SaaS platforms, and IT/OT systems.
Enterprise workflows built for adoption and measurable ROIC—not isolated demonstrations or disposable pilots.
Sovereign inference across vision, reasoning, text-to-speech, and speech-to-text on Huawei Cloud and Oracle Cloud.
Thirty junior members, six AI experts, 150 community participants, and 500+ enterprise subscribers.
Defined governance and the operating model for responsible adoption across the organisation.
Strategy, prioritisation, investment, governance, and scaling across business and technology functions.
Four startup and scale-up environments—combining startup speed with enterprise discipline.
Engagements are small, senior, and outcome-bound. No theatre. No 80-page strategy deck detached from delivery.
Discuss an engagement ↗Board-level direction, portfolio choices, operating model, governance, and hands-on leadership through execution.
Shape the highest-value use cases, design the architecture, establish controls, and stand up the delivery system.
Redesign real workflows around agents, deterministic services, human authority, traceability, and continuous measurement.
Diagnose stalled AI programmes, simplify the stack, restore product discipline, and create a credible route to production.
Direct recommendations remain attributable to their authors on LinkedIn. The operating record is here.
Enterprise assistants, applications, research pipelines, and automations integrated with real systems.
AI applications and automation designed for adoption across operational and support functions.
A scaled AI & Automation CoE: 30 junior members, six experts, and an enterprise-wide community.
Long-form reflections on AI, education, cognitive autonomy, and what it means to be human.
A conversation with AI about evolution, post-biological existence, and escaping the Dark Forest.
The human purpose of education in an age of abundant intelligence.
CTO advisory, AI architecture, agentic operations, and hands-on product execution.
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