Relevant · Fractional Chief AI Officer
Who is accountable for turning our AI ideas into results?
A named AI leader who turns scattered ideas into costed use cases, sets the governance model, and runs the program with your team until it delivers.
The Vizius Way
How it works: five steps, one Principal Engineer
One Principal Engineer leads it from the first call until your team has adopted the work and trusts it. Each step shows what it means for this engagement.
- Step 01
Discovery Call
30 minutes with the Principal Engineer who would lead this engagement. Free, and no sales handoff.
- Step 02
Direct Assessment
GatherCollect every AI idea and who wants it.
- Step 03
Shared Roadmap
DecideCost, rank and pick the first few.
- Step 04
PE-Led Delivery
GovernSet rules and a light approval process.
- Step 05
Outcome Assurance
DeliverRun pilots to production, then step back.
Proof
What changed for a client
A fractional chief AI officer turned a forty-site company's AI ideas into a program that delivered production automation.
Ready when you are
Thirty minutes with the Principal Engineer who would lead the work. Pick a time on the spot, or email us.
What you get
- A named AI leader in your leadership meetings
- A prioritized, costed AI roadmap
- Governance: who approves AI use, on what data, with what controls
- Program management through pilots and production
Who you'll work with
A Principal Engineer, not a salesperson
Likely lead: David Hyde-Volpe or Cameron Cromer. You talk to the engineer who does the work on Fractional Chief AI Officer.
Questions buyers ask
Is this a full-time role?
No. Most clients start with a few days a month.
Do you build the solutions too?
We can, through AI proof of concept and automation engagements, or advise your team while they build.
How is AI security handled?
Governance and guardrails are part of the role, drawing on our security practice.
More detail
Get AI leadership without a full-time hire. Your fractional chief AI officer turns scattered ideas into costed use cases, sets the governance model, and runs the program with your team until it delivers. You keep ownership of the program.
Related offerings
- Relevant
AI Readiness Assessment & Roadmap
"Which AI ideas will actually pay back here, and in what order?"
- Relevant
AI Governance & Guardrails
"What are our people already putting into AI tools, and what stops sensitive data going with it?"
- Relevant
Back-Office AI Automation
"Where are our people re-keying data that a machine should be moving?"
Not sure this is the right fit?
Take the blind spot check. Four questions to start, then go deeper on one dimension.
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