AI Governance · Fintech Ops · Tel Aviv

Everyone is racing into AI.
Almost no one is building the thing that makes it pay off.

I build the invisible scaffolding that turns AI from a bet into a business.

Asaf Peled - AI Governance and Operations Leader
The Shift

I thought I'd missed the train.

A few months ago I had some unexpected time on my hands, and I did the thing you're not supposed to do at forty-four: I looked up from the work and asked where it was actually taking me.

Fifteen years in knowledge management. Then a bold detour into fintech operations... I built KYC frameworks for a company operating across nine jurisdictions. But when I looked up, something felt wrong. The market was turning...

Then something shifted. I realized the train I thought I'd missed hadn't actually left yet.

The AI rush has almost no operational spine. That's an operations gap. And operations is what I do.

AI Practice

Four questions I help organizations answer.

Questions with consequences — the kind you can't afford to get wrong, and can't afford to ignore any longer.

01

Which of your AI systems are actually high-risk?

Most companies can't produce a clean inventory of the AI touching their business, let alone a classification against the regulations coming for them.

Classification & Inventory
02

Can you show your work to a regulator?

Documentation, audit trails, decision logs, the chain of accountability when something goes sideways. The boring stuff that turns into the expensive stuff.

Audit Readiness
03

How do you know your AI is still doing what you hired it to do?

Models drift. Data shifts. Ongoing monitoring isn't optional — it's the only thing standing between you and surprise.

Monitoring & Compliance
04

Can your AI governance flex as you grow?

The worst governance systems are rigid. The real work is building something that flexes as you grow and doesn't need to be rebuilt.

Adaptability