Most established companies now need someone accountable for AI. Someone who decides where it belongs, keeps it safe, and makes sure the pilots turn into systems people actually use. Very few of those companies need that person full time yet, and fewer still can find one who understands both the business and the engineering.
A Fractional AI Officer fills that seat. Red Tree Labs joins your leadership team on a part-time basis and takes ownership of your AI program: the direction, the priorities, the guardrails, and the delivery.
What the role covers
AI strategy. A clear position on where AI creates value in your operation, what it depends on, and what to leave alone. Tied to the goals your leadership team already has, not to whatever the market is excited about this quarter.
Use case prioritization. Most companies have more AI ideas than capacity. We decide which ones earn investment, in what order, and how each will be measured, so effort goes to the work that pays off rather than the work that demos well.
Governance and risk. Policies for how your people use AI tools, how company and customer data is handled, where human review is required, and how decisions are audited. Built into the design from the start, rather than added after something goes wrong.
Vendor and tool evaluation. An independent view on the platforms, copilots, and vendors pitching your team, including whether an off-the-shelf product fits or something needs to be built.
Delivery oversight. Direction of the implementation work itself, whether it is carried out by your internal team, a vendor, or Red Tree Labs, with progress reported in business terms to your executives and board.
Team enablement. Helping your managers and staff understand what AI can and cannot do in their roles, so adoption is driven by the people doing the work rather than imposed on them.
Many fractional AI roles stop at advice. Ours comes with an engineering and systems integration practice behind it, so the person setting direction can also see it built, connected to your CRM, ERP, and internal systems, and supported once it is running.
Who it is for
The role tends to fit companies that recognize one or more of these:
- AI experiments are happening across departments, but nobody owns the overall picture
- Leadership or the board is asking for an AI plan, and there is no one to write it
- Pilots have worked on a small scale but have not made it into production
- Staff are already using AI tools, and there is no policy covering data or risk
- A full-time AI executive is the eventual goal, but the program is not ready for one yet
We work with business leaders at established companies, typically 50 employees or more.
How an engagement works
Every engagement starts with the same free AI assessment we offer every client: a working session on your actual processes. That session shows whether a fractional role is the right fit, or whether a focused project would serve you better.
When the fit is right, the scope of the role is agreed with your leadership team and scaled to where your program is. It typically carries more weight while strategy and governance are being set, and settles into a steady cadence of oversight and reporting once delivery is underway. The scope is reviewed as the program matures.
What stays with you
The goal is a program your company owns. Strategy documents, policies, roadmaps, and systems belong to you. Your team is trained to run what gets built. And if you reach the point of hiring a full-time AI leader, we help define the role and hand over a program they can take forward rather than start from scratch.