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Innovation

Where I’m headed

I believe the next decade of software belongs to teams that build with AI as a first-class engineering method — and to products where AI is the interface, not a bolt-on. These are the directions I’m building toward.

Patent · Netherlands · 2025

An AI-driven healthcare system

A patent filed in the Netherlands (2025) for an AI-driven healthcare system — proof that I don’t only execute on the state of the art, I help define it. The specifics are protected; the principle is the one behind everything I build: intelligence designed into the core, not added at the edges.

R&D directions

Four ideas I’m incubating

Visions I’m building toward — described by the problem they solve and the principle behind them.

  • AI Copilot for business operations

    Problem
    Operators run SaaS platforms through dense dashboards and support tickets — slow, manual, and easy to get wrong.
    Approach
    An AI-native, tool-using assistant that runs the platform in plain language — "draft this invoice", "who hasn’t paid in 30 days?" — through auditable, permission-checked tool-calls, with per-organization provider choice and hard cost controls.
    Edge
    Every consequential action is an audited, permission-checked operation — built for regulated industries, not a chatbot in an iframe.

  • Embedded SaaS analytics

    Problem
    Most platforms sit on a goldmine of event data but ship dashboards nobody reads — and a separate BI tool costs a fortune.
    Approach
    An opinionated, SaaS-aware analytics layer that turns a platform’s own event stream into executive dashboards (MRR, churn, DSO), scheduled reports, anomaly alerts, and plain-language narratives.
    Edge
    It collapses a €25k/year BI tool into something an operator actually reads — and it understands SaaS out of the box.

  • No-code workflow automation

    Problem
    Businesses pay for three external automation subscriptions just to move data between the tools they already use.
    Approach
    A visual, durable automation engine native to a platform’s own data and events — triggers, actions, branches, loops, human approvals, and AI steps, with durable execution and versioning.
    Edge
    One built-in engine replaces the Zapier/n8n sprawl, with first-class access to the data it’s automating.

  • AI-driven product intake — "Forge"

    Problem
    The pre-sales funnel for custom software is an 8–20-hour grind of calls, scoping, and proposals before anyone builds a thing.
    Approach
    A self-serve portal where a founder talks to an AI agent and leaves with a generated business plan, pitch deck, and a real, scoped implementation plan.
    Edge
    It collapses that funnel to a 30–60-minute review — and auto-generates handover tutorials on delivery.

The thread that connects them

Each of these is AI-native, auditable, and built for real businesses — not demos. Together they describe one way of building software: intelligent by default, honest about what it’s doing, and accountable for every action it takes. It’s the same standard I bring to how I work.

Building something in this space, or want to?

If this is where you’re headed too, I’d love to compare notes — or build it with you.

Let’s talk