The person behind
the consulting.
I've spent my career at the intersection of operations, technology, and "there has to be a better way."
I've worked inside global logistics operations, financial services product management, and e-commerce, running training across seven countries, building automation systems that saved hundreds of thousands annually, and consulting for thirteen startups on AI adoption and operational efficiency.
The common thread has always been the same: finding where manual work creates friction, quantifying what it costs, and building the system that removes it. Whether that was adapting AI curriculum for operations teams in Japan, account managers in Germany, or analysts in Australia. The methodology stays the same. The context changes.
I've done the rollout before, across different industries, different countries, and different team sizes.
Most of my weekends go into personal projects. Right now that includes a multi-agent AI trading algorithm with live market data feeds and execution logic, an agentic workflow platform for orchestrating complex tasks across parallel AI agents, and several domain-specific automation systems I've built and rebuilt to understand where the real limits are. None of this is theoretical. I write the code, debug the failures, and run the systems.
I don't just recommend automation. I build it. That's a meaningful distinction when it comes to scoping what's actually feasible for a business your size versus what gets oversold in a consulting deck.
The automation thinking that saves large enterprises hundreds of thousands a year shouldn't require an enterprise budget to access. When I look at how most SMBs operate, what I see isn't a technology problem. It's a distribution problem. The methodology exists. The tools exist. The gap is access to someone who can scope it correctly, build it properly, and hand it over cleanly.
SMBs also lose proportionally more to manual inefficiency than large companies do. A five-person team spending three hours a day on work that could be automated isn't just losing productivity. They're losing the capacity to grow. And when you fix it, the payback period is usually weeks, not years.
Congruity is not an AI product company. I analyse what's actually costing you, build a system that solves it, and make sure the value persists after I'm gone.
Bocconi MSc in Management of Innovation and Technology. AWS certified.
Four languages. Startups founded, patents filed, too many side projects.
All of it pointed at the same thing: building systems that actually work.