Invest Before You Expect
AI is not a magic tool. It's a machine learning tool — and the learning part matters. Like any new hire, it requires investment upfront: training, context, guardrails, and clear expectations.
Find the leak. Fix the system.
When you bring AI into your organization, you're not adding a tool to your tech stack. You're adding a talent to your workforce. Four principles for managing both as a unified workforce.
AI is not a magic tool. It's a machine learning tool — and the learning part matters. Like any new hire, it requires investment upfront: training, context, guardrails, and clear expectations.
Whether you're directing a human or an AI, imprecise communication produces imprecise results. The skill isn't different — the medium is.
Boring systems scale freedom. AI never sleeps — use that to free people from work that doesn't require them, so they can focus on the work that does.
You can't mandate adoption. You can design the environment so adoption becomes the easiest path forward — building systems so seamlessly that resistance becomes harder than embracing it.
Led a full operational overhaul at Gain Theory (VML) — modernized delivery frameworks, automated reporting, and built real-time data access for teams across three global regions. From chaos to coordinated.
Designed and deployed a global resource management platform that fixed forecasting, removed workflow bottlenecks, and improved margin across the business. Built it right the first time — people actually use it.
Built a service desk system from scratch — cross-functional request management, faster resolution times, infrastructure that scaled without adding headcount. The kind of thing that just quietly works.
Worked directly with C-suite and account leadership to define operational strategy, align business units, and make growth actually sustainable. Strategy means nothing without someone who can execute it.
Every business is one good system away from a breakthrough.