Contents
- A fractional operator engagement provides dedicated technology infrastructure execution on a portfolio-allocated basis — typically scoped by project deliverables rather than hours.
- The operator builds, deploys, and maintains production systems using AI-accelerated methodology, with engagement intensity varying based on the build phase: intensive during initial construction (4-5 days to MVP for mature templates), then minimal for ongoing operations at approximately $825/month run rate.
- The engagement model is project-scoped, not time-billed.
A fractional operator engagement provides dedicated technology infrastructure execution on a portfolio-allocated basis — typically scoped by project deliverables rather than hours. The operator builds, deploys, and maintains production systems using AI-accelerated methodology, with engagement intensity varying based on the build phase: intensive during initial construction (4-5 days to MVP for mature templates), then minimal for ongoing operations at approximately $825/month run rate.
The engagement model is project-scoped, not time-billed. Traditional fractional CTO or engineering engagements bill 10-20 hours per week at $200-$400/hour, creating $8K-$32K/month in retainer costs regardless of output. The operator model prices against deliverables: a defined system with measurable acceptance criteria, built on a validated methodology that has shipped 10 production systems across 7 verticals in 116 days. The difference is structural. Fractional hourly billing incentivizes duration; deliverable-scoped engagement incentivizes velocity. The validated portfolio shows build times compressing from 23-43 days to 4-5 days as templates mature — an acceleration that hourly billing would penalize.
The typical engagement follows three phases. Phase 1 is Foundation: the operator assesses existing infrastructure, identifies SaaS displacement opportunities, and designs the target architecture. In the validated portfolio, this phase identified $1,565/month in SaaS costs and $9,046/month in peak contractor costs that were subsequently eliminated. Phase 2 is Build: the operator executes construction of production systems, with external support costs averaging $34,473 total across the full validated portfolio — less than two months of a traditional fractional CTO. Phase 3 is Transition: the operator hands off documented, version-controlled code built on standard frameworks (PHP/Laravel) with a monthly run rate of approximately $825 for hosting and AI tools. According to Deloitte's 2024 Technology Budgets Survey, mid-market companies spend an average of $3.28M annually on technology — the fractional operator model produces comparable infrastructure output at roughly 2% of that benchmark.
For PE firms, the fractional model maps to portfolio coverage. One operator engagement can address one portfolio company's technology infrastructure needs in weeks rather than the 12-18 months a traditional engineering team would require. The capital efficiency is the point: instead of embedding a $500K-$1M annual engineering team in each portfolio company, a fractional operator engagement deploys for a fraction of one quarter's engineering budget and produces owned, documented, transferable infrastructure. The 95%+ template reuse rate means the second and third portfolio engagements are faster and cheaper than the first.
What it is not: This is not staff augmentation. The operator is not filling a seat on your team. It is not consulting — there are no decks and no recommendations without execution. It is infrastructure delivery: production systems, shipped and running, with full source code ownership transferring to the client. The deliverable is a working system, not a report about building one.
Related: C7 FAQ #160 — How does the operator model scale? | C7 FAQ #157 — ROI of an operator vs. a team
References
- Deloitte (2024). "Technology Budgets and Benchmarks Survey." Mid-market company annual technology spend benchmarks.
- Keating, M.G. (2026). "The Compounding Execution Method: Complete Technical Documentation." Stealth Labz. Browse papers