
United States
For US companies taking AI into Southeast Asia, and Southeast Asian companies selling AI into the US.
Enter the US site
You set the X. One, two or three days a week of a senior AI leader who sets the roadmap, gets the first use cases live, and knows the governance rules in every market you sell into.
Most AI advisors do strategy or compliance. Your CAIO does both, so governance is designed in from the first use case instead of patched on before an audit.
Singapore's Model AI Governance Framework, including its guidance for agentic AI, and the personal data rules underneath every model.
A moving patchwork of state AI laws, sector regulators and the AI questions now standard in enterprise procurement.
EU AI Act risk tiers and the obligations that follow, applied to the systems you actually run, alongside GDPR.
UAE and Saudi AI principles, data protection law such as Saudi Arabia's PDPL, and the rules of free zones like DIFC and ADGM.
The same three steps in every market.
A 45-minute call on where AI could pay off, the data you hold, and the markets you sell into.
We aim to send two or three CAIO candidates within 5 working days. We only shortlist people who have shipped AI under regulatory review.
Roadmap, governance baseline and first use cases live. Then keep your CAIO at one or two days a week, or hand over to a full-time hire.
Four markets, each with its own operators, currency and contracts. You can switch at any time from the header.

For US companies taking AI into Southeast Asia, and Southeast Asian companies selling AI into the US.
Enter the US site
For companies based in Singapore and Southeast Asia. CAIOs on the ground who work with the Singapore frameworks every week.
Enter the Singapore site
For European companies and anyone selling AI into the EU. Built around the AI Act and GDPR from day one.
Join the Europe waitlist
For companies in the UAE and Saudi Arabia, and Asian companies expanding into the Gulf.
Join the Middle East waitlistSomewhere else? We take on companies in other markets case by case. Start with the Singapore brief and tell us where you are.
A fractional Chief AI Officer is a senior AI executive who works for your company part time, usually one to three days a week on a monthly retainer. They own the AI roadmap, AI governance and delivery the way a full-time CAIO would, without the full-time salary or a long hiring process.
A consultant delivers a report. A fractional CAIO sits in your leadership team, is accountable for results, makes decisions with your founders and board, and stays until the programme runs without them or a full-time hire takes over.
An AI policy approved by your board, a register of every AI use case with its risk level and owner, due diligence on AI vendors and models before they touch your data, and regular board reporting. Each piece is mapped to the rules in the markets you sell into.
Singapore's Model AI Governance Framework (including its guidance for agentic AI), US state AI laws and sector regulators, the EU AI Act and GDPR, and in the Gulf the UAE and Saudi AI principles, Saudi Arabia's PDPL and free-zone rules such as DIFC and ADGM.
It is a monthly retainer set by the number of days a week and the market. Each market site shows its currency and how pricing works, and the exact rate is confirmed on your briefing call before any commitment.
After a 45-minute AI briefing, we aim to send a shortlist of two or three CAIO candidates within 5 working days. The start date is agreed directly with the CAIO you choose.
The United States (us.fraconomy.com) and Singapore and Southeast Asia (sg.fraconomy.com) are open now. Europe (eu.fraconomy.com) and the Middle East (me.fraconomy.com) have waitlists open.
No. Your CAIO designs and runs AI governance with your team and works alongside your legal counsel. Governance content on this site is general information, not legal advice.
Your CAIO leads. When the programme needs finance, marketing or operations judgement, the bench joins on the same terms.
AI business cases, budgets and board reporting.
AI in marketing, with the disclosure rules that come with it.
Redesigning processes and teams around what AI now does.
A fractional DPO for the personal data your models touch.