About PathPatron
Built for the people now expected to make sense of AI.
I built PathPatron because non-technical leaders are being asked to make technology decisions faster than the language around those decisions is developing.
AI is no longer a topic that sits only with technical teams. It shows up in budget decisions, vendor conversations, governance models, adoption plans, compliance questions, and everyday leadership judgment.
PathPatron exists to help leaders slow the decision down enough to see what they are actually deciding.
Christin Jentzsch
Founder, PathPatron
Hi, I'm Christin.
I've spent close to fifteen years at the intersection of technology, business, and decision-making — first inside startups, as a founder, Head of Product, and in other leadership roles, then in corporate innovation: launching startup partnership programmes and coaching more than a hundred product teams from first idea to rollout. Today I lead applied AI initiatives at a global IT services firm. PathPatron is independent of that work — my views alone, built on public sources and my own practice, and shaped by everything those rooms taught me.
The pattern I kept seeing: the people who needed to make the most consequential decisions about technology were often the least supported in making them. Not because they lacked intelligence or experience. But because the tools, the language, and the structures were all built for someone else.
PathPatron is my attempt to change that. Not with another certification, not with a six-step framework that oversimplifies reality — but with honest thinking, practical structure, and the kind of guidance I wish had existed when I was in those rooms.
If that sounds useful, you're in the right place.
One phrase you will meet across the briefings: "in my work". It always means patterns from those rooms — seen across many organisations, never one client's story.
Why this matters now
Decisions are outrunning shared language.
Organizations are moving from curiosity about AI to actual decisions: which tools to approve, which vendors to trust, which risks to accept, which teams to involve, and which governance structures need to exist before adoption scales.
But many of those decisions are happening without a shared language between business, technical, legal, security, procurement, and leadership teams.
PathPatron is my way of creating that language.
Who it is for
People who decide without writing code
PathPatron is for people who may not write code, but are still responsible for making or shaping technology decisions.
That includes business leaders, transformation leads, governance and compliance stakeholders, operators, founders, and anyone trying to understand what AI adoption actually requires inside an organization.
How I think about AI decisions
"The hard part is rarely choosing the model or the tool. The harder questions are about context: what the system touches, who it affects, and who remains accountable."
AI is not plug-and-play. What can go wrong, what the system depends on, and what needs to be true before an organization can use it responsibly — that is the decision layer, and it is where PathPatron does its work.
How this is made
PathPatron is produced with AI agents — several of them, and deliberately not connected to each other. I am the interconnection: I review what one produces and hand the result to the next, and every judgement, claim, and first-person word is mine. The full account is on the AI transparency page, and everything published here follows our evidence standard.
Start with the decision, not the tool.
If you are trying to understand what responsible AI adoption should look like in practice, start with the questions behind the technology: trust, control, governance, implementation, and organizational readiness.
Read the Briefings