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.

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

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.

Three ways in. No workshop theater.

Path: Diagnostic → Install → Partner. Skip Diagnostic if the pain is already clear.

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.

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.

Five steps. Same spine every engagement.

Depth scales with the solution. The operating model does not.

  1. Discover Workload, payroll pressure, success metrics
  2. Map workflows 2–4 processes with best effort-to-payroll impact
  3. Install AI systems SOPs, prompts, templates, light automation
  4. Train and coach Champions first, live on real work
  5. Measure and harden Baseline → 90 days; lock playbooks

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

Trevor Foley

VP-level program, portfolio, and ops leadership across advertising, media, and technology.

I’ve spent a career making creative and marketing orgs deliver more with the people they have. Stravio packages that as installable AI ops.

  • Capacity + forecasting across a ~$13M Weber Shandwick portfolio; in-house AI tool that improved team optimization 12%+; leadership dashboard for real-time business health
  • ~40% operational efficiency gains and $1.4M additional funding via process + automation (Lexus / Team One era)
  • 18% annual cost savings via financial discipline and vendor negotiation
  • 400+ employees led through enterprise remote transition ahead of schedule
  • Production & delivery spanning Eleven/AdReach (Tetra Pak), Wunderman, Team One, Hulu (ad products, sponsorships), plus early career at Netflix, McCann, Ogilvy

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.

See live availability and book directly.

Open calendar · book a scan

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