Twenty-five years at the seam between
the boardroom and the codebase.

Oshri Cohen is a Chief AI Officer (CAIO) who works fractionally, on an interim basis, or full-time. He has 25 years in software and 20 in technology leadership, and since 2018 has served 30+ companies as a fractional and interim CTO, almost all of them US-based. As a CAIO he owns the entire AI agenda: strategy tied to the P&L, the governance and risk posture, the portfolio of use cases, and the production systems themselves. He also leads technical due diligence for private-equity deals, turns around troubled software, and modernizes legacy systems. He works hands-on, from the inside out, and serves companies across the United States and Canada remotely on Eastern Time.

A Chief AI Officer is the senior executive accountable for the whole AI agenda: AI strategy and where the investment goes, governance and risk, the portfolio of use cases, the AI-capable team, and reporting to the board on what it returned. The role exists because AI decisions cross every department, which makes them nobody's job by default. Oshri runs the seat hands-on, architecting and shipping the systems rather than handing the build to someone else.

Primarily $10M–$50M software and software-enabled companies in the United States and Canada, past product-market fit, where a technology decision now moves the valuation rather than just the backlog — founders, CEOs and boards, plus private-equity investors who need a technical read before a deal and a value-creation plan after. He also works with traditional organizations making their first serious software or AI bet, where the operating model can be designed AI-native from the start.

Fractional means the seat part-time and ongoing, typically a day or two a week alongside your existing leadership. Interim means full-time and temporary, in the seat every day until the situation is resolved or a permanent hire lands. Full-time means taking the permanent role for a defined stretch and then handing over to the successor he helps recruit. In every case the work is sized to what the company actually needs and built to hand off, never a permanent dependency.

No. Oshri works directly with his clients as an individual: no bench of consultants, no account manager, and nobody junior assigned after the sale. The person a company assesses is the person in its leadership meetings and its pull requests every week. Where a real capability gap exists he hires into the client's own organization rather than staffing it externally, so the capability stays with the company. The trade-off is capacity, since one person can only hold a small number of engagements at a time.

The United States is his primary market and Canada the second. He is based in Canada himself and runs every engagement remotely on Eastern Time, distributed by default, which is also how he has directed as many as 12 engineering teams across 7 countries at once.

Both, and those are the only two markets he sells into. Most of the work is American, with Canada the second market. Nothing about the engagement changes at the border, from the published USD rate to the Eastern Time working day. He is based in Canada and has spent most of the last decade serving US clients, so both are familiar ground.

A McGill University business graduate (BA, Business Administration, 2006) who learned to code — the wrong-way-round path that lets him translate between the boardroom and the codebase. He has held executive seats as VP of Engineering at an intelligent-transportation company and CTO of a healthcare EMR platform, was on the founding team of a no-code automation startup, and has run engineering at a 350+ person firm. Since 2018 he has worked as a fractional and interim CTO.

With the client able to run it themselves. Once the strategy is set and the process is running, the work turns to making the client self-sufficient. Where the capability needs people they do not have, he recruits them and interviews every candidate personally. Where the people are already in place, he trains them until the routine calls stop coming. He then steps back but stays reachable for the genuinely hard ones. This applies to every non-full-time engagement: fractional, interim, temporary and short-term alike.

Through The Business-Down Method: a repeatable, four-movement approach — Read, Direct, Build, Operate & Optimize — where every technical decision is derived down from the P&L. The discipline is fixed; the solution is built with today's state of the art and bespoke to your numbers every time.

Email hello@oshricohen.me or call (514) 777-3883. The lowest-risk way to start is a focused Read — a diagnosis of system, org, spend and AI leverage that ends in a sequenced plan you keep whether or not we continue.