Fractional Chief AI Officer

Your AI pilots worked. So why is nothing in production?

TriFold Technologies helps mid-to-large enterprises move AI out of pilots and presentations and into systems that run inside the business. Senior AI leadership, without the full-time hire.

TriFold mascot
The problem

The gap is rarely the technology

Executives know AI matters. Teams run pilots. Very little reaches production. After three decades in enterprise technology, most recently at the Data & AI team of IBM Israel, I watched this pattern repeat across pharma, financing, insurance, hospitality, and media.

The blocker is almost never the model. It is alignment between the business, the data and IT teams, and governance. Three folds: business, data and IT, governance. Line them up and AI ships. Leave one out and you get demos.

FOLD 01
Business
FOLD 02
Data and IT
FOLD 03
Governance
What you get

A fractional Chief AI Officer who owns the AI agenda a few days a month and works directly with your executives and your technical teams:

Full services →
01AI strategy and a clear, prioritized roadmap
02Governance and responsible AI frameworks
03Hands-on architecture and implementation guidance
04Vendor and build-vs-buy decisions
05Internal capability building, so your team gets stronger every quarter
Why fractional

Seniority when you need it, not headcount you can’t justify yet

Most organizations are still early in AI adoption. Hiring a full-time Chief AI Officer before the business case exists tends to backfire: the role turns theoretical, expectations outrun execution, and the budget drifts.

The fractional model gives you the seniority when you need it, at a fraction of the cost, and hands more ownership to your own people as they grow into it.

Proof

The work in practice

Designed the AI architecture and governance model for a large IT organization, moving it from scattered experiments to structured initiatives.
Ran AI strategy with the IT leadership of a leading hospitality group, tying use cases to measurable business value.
Helped enterprise technology teams work out when RAG is actually required and when it isn’t, cutting unnecessary infrastructure.
80%
A pharmaceutical distribution group. AI discovery, then a voice AI agent built and shipped into the contact center. It handles 80% of incoming calls on its own, and the human agents keep the 20% that genuinely need a person. In production, taking real calls.
Who it’s for

Mid-to-large Israeli and American enterprises, typically 500 to 5,000 employees, in pharma, banking and finance, insurance, hospitality, media, logistics, retail, and energy. I work in English and Hebrew.

Pharma Banking & finance Insurance Hospitality Media Logistics Retail Energy

You have pilots. Let’s talk about production.

A 30-minute intro call. No sales deck. We’ll talk about where your AI effort actually stands and what it would take to get it running.

Book an intro call →