Three examples of AI working in the background, while the team focuses on what matters.
A client sends proof of payment at 3am. The agent confirms receipt, updates the order, and schedules delivery. Before your team wakes up.
The AI reads sales data daily, flags deals at risk, regions falling behind, and products losing margin, and suggests the next action for each alert. Your sales manager wakes up knowing exactly what to do, without opening a single spreadsheet.
Before every meeting, your AI agent briefs you: who's in the room, what's at stake, what decisions need to be made, and what to watch out for. Connected to your calendar, CRM, and email. You walk in prepared, every time.
One screen showing the health of your entire operation: stock, margin, delivery, churn risk. The AI doesn't just show the number: it tells you why it changed and what to do. Every morning, before your first coffee.
Ongoing strategic counsel for leadership teams navigating AI adoption. I act as a thinking partner: I help you cut through vendor noise, prioritise the right use cases, and build internal capability that outlasts the engagement.
We pick the biggest bottleneck in your operation and remove it. Fast. Measurable result.
High-impact talks for executive audiences, industry events, and corporate offsites. Topics span AI strategy, data-driven operations, and the leadership mindset required to build intelligent organisations.
Manual processes, decisions waiting on stale information, problems nobody sees until they blow up. I map the exact points where speed and money are being lost.
Not everything needs AI. I identify the points that will move fastest, what the return looks like, and what isn't worth the effort. You leave knowing exactly what to build and why.
Automation, AI agents, integrations. I connect what needs to be connected and build what needs to be built. Configured around how your team actually works, not a generic template.
Instead of a report someone has to check, you get agents that monitor, decide, and act. Problems get flagged before they escalate. Actions happen automatically. Your team handles the exceptions.
"Delivered what was promised. Team uses it every day."
"Straightforward process, practical result. No fluff."
"Good work. Result holds up."
"No fluff. Business first, technology second. Working automation in three weeks."
No predictions about the future. No demos of tools you'll never use. I show what AI actually does inside real companies: the decisions it changes, the hours it recovers, the problems it catches before they escalate. If your audience makes business decisions, they'll leave with something actionable.
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Your team isn't too small. It's too busy doing what shouldn't be human work.
I've worked in HealthTech, Retail, SaaS, Logistics, and Direct Sales, across four continents. I led development, commercial operations, data and analytics, security, and privacy. Most of the time, all at once. In every company, I found the same thing: manual processes, untapped data, teams more occupied with alignment than with actual work. I spent two decades solving those problems inside large organisations. Now I do the same for companies that want to operate differently.
Today I work directly with founders, CEOs, and leadership teams at mid-market companies in Brazil and Europe who want to build real AI capability, not just buy a tool subscription. My engagements are structured, outcome-driven, and time-bound.
If you are a founder, CEO, or executive thinking about what AI can actually do for your business, not in theory but in practice, I want to hear from you.