AI Technology Leadership
When to bring us in
And the plan you have is a list of ideas.
Several experiments, none of them carrying real work.
And nobody inside can test the claims.
With numbers attached, and a date.
What you get
Each initiative with its value, its cost, its risk and its owner.
A clear call on each, with the reasoning written down.
An independent view of what you are being sold.
Role definitions, interviews, and the first ninety days of each hire.
An early prototype of the first use case, built to be handed to a team.
Someone senior accountable for what ships.
Who you work with
Fractional AI CTO
Sets the direction: what to build, what to buy, who to hire, and in what order.
Launched Moody’s Analytics’ first machine-learning product, which reads borrowers’ financial statements for lenders. Solutions architect at AWS, then head of analytics technology at Alter Domus. Founder of Loom Labs. Twenty years in software, data and AI.
Technical Strategy & Delivery Lead
Runs the engineering: the team that builds what the roadmap calls for.
Former Sr Director of Engineering & AI Delivery at Turing, Head of AI at Toptal. Expert in AI delivery, technical vetting, and engineering teams.
How it begins
We spend two weeks inside one part of your operation and come back with the numbers: which automations are worth building, which aren’t, and a plan for the best one. One fixed price, agreed before we begin.
After the audit
Monthly
Direction, decisions and oversight, scoped each month to the stage you are at.
6 to 16 weeks
Delivered by Eventum’s engineers, under the same leadership.
When you are ready
We help you hire the permanent leader and hand over cleanly.
Questions
We agree it each month, to fit the stage you are at. Early on it is usually more.
Accountability. A fractional AI CTO owns the roadmap and the decisions, and answers for what ships.
Yes. Eventum’s engineers deliver what the roadmap calls for, which means the person who set the direction also sees it through.
We help define the role, interview the candidates and hand over. That is a good outcome, not a lost client.
Companies large enough to have real operations and data, and not yet large enough to need a full-time AI executive.
Next step