2 weeks
Efficiency Diagnostic
Map where hours and capacity leak. Ranked AI ops roadmap: free capacity, defer hires, handle more work with the team you have.
Fractional AI / ops COO
AI ops that cut payroll drag.
More output per person. Fewer hires. Leaner teams. Fractional AI/ops COO for startups and agencies that are building too hard to fix how the work runs.
Built by an ops and production leader who’s run ~$13M portfolios, enterprise transformations, and AI-assisted capacity planning inside agencies.
Who it’s for
Built for teams where every hire still hurts.
Beachhead: marketing and advertising agencies. Also startup in-house marketing teams that need volume without another FTE.
A fit when
- You’re an 8–60 person startup (or agency in that band)
- Buyers are founder, COO / Head of Ops, MD, or a Partner who owns P&L
- You need more deliverable volume without another full-time seat
- AI is scattered — ChatGPT everywhere, systematic nowhere
Not for (v1)
- Enterprise holding-company theater
- One-off ChatGPT workshops
- Teams that won’t change process or hire math
The problem
The problem
You don’t have an AI problem. You have a payroll-vs-output problem.
- Headcount grows faster than deliverables
- Capacity gaps default to a new hire
- Juniors burn weeks on research, reporting, drafts, decks; seniors redo the work
- ChatGPT is everywhere and systematic nowhere
If AI doesn’t change capacity or hire math, it’s a toy.
What Stravio is
Fractional AI/ops COO: I go into small-to-mid companies, agencies, and startups and install AI + operations + production systems so the work streamlines — less payroll drag for the same or better output. Systems, not tips.
Solutions
Three ways in. No workshop theater.
Path: Diagnostic → Install → Partner. Skip Diagnostic if the pain is already clear.
90 days
Ops Install
Priority workflows running on installed AI systems. Measurable capacity — more work without another hire, or less grind on the team you already have.
Retainer
AI Ops Partner
Ongoing installs, adoption, and hire-vs-automate discipline so efficiency compounds instead of decaying.
Engagement scope and investment live in proposals — not on this page.
How it works
Five steps. Same spine every engagement.
Depth scales with the solution. The operating model does not.
- Discover Workload, payroll pressure, success metrics
- Map workflows 2–4 processes with best effort-to-payroll impact
- Install AI systems SOPs, prompts, templates, light automation
- Train and coach Champions first, live on real work
- Measure and harden Baseline → 90 days; lock playbooks
What we measure
Proof tied to capacity and hire math.
If it doesn’t move these, it doesn’t count.
Hire deferrals / avoided reqs
Capacity per FTE
Hours cut on high-volume workflows
Senior review load
Same output with a leaner pod
About
Trevor Foley
Ops and production leader across advertising, media, and technology. Founder of Stravio.
I’ve spent my career inside creative and marketing orgs solving the same problem Stravio is built for: more output without a matching climb in payroll. That meant owning large portfolios, standing up capacity and forecasting systems, installing process and automation so teams ran leaner, and leading operating shifts when the model itself had to change.
Along the way I’ve run ~$13M in portfolio work, shipped in-house AI tooling that lifted team optimization 12%+, driven ~40% operational efficiency gains that helped unlock $1.4M in additional funding, cut annual costs ~18% through financial discipline and vendor negotiation, and led 400+ people through an enterprise remote transition ahead of schedule.
The through-line is capacity as an operating system, not a hire reflex. Stravio packages that as installable AI ops — diagnostic, install, and partner — for startups that need the work done without growing headcount first.
Book a 30-minute efficiency scan
No pitch deck. Pick a time on the calendar — we map where hours and capacity leak, and whether a Diagnostic or Install is worth it.
Prefer email? hello@stravio.agency
See live availability and book directly.
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