Now taking Q2 engagements
Your next $10M of revenue shouldn't require your next 10 hires. We install agent systems into your two biggest cost centers — revenue and engineering — so throughput stops being a headcount problem.
An operating system = agents that own jobs end-to-end, coordinate across handoffs, and improve each cycle.
Built for PE-backed operators
Most recent enterprise build
Five Arrows (Rothschild & Co) — $1B+ post-merger value creation
Built by operators
Operating partners, CEOs, and CPTOs of PE-backed businesses ($25–500M revenue)
Production deployments
3× across PE-backed workforce and education services operators
The wall every operator hits
Businesses don't stall because demand dries up. They stall because every next dollar of revenue requires another head — and the math of hiring, ramping, and managing that head eats the margin. The ceiling on your growth isn't the market. It's your org chart.
01 / The headcount tax
$80–150K fully-loaded, six-month ramp, attrition, management overhead. Revenue growth stops compounding the moment the hiring plan slips.
02 / The rainmaker ceiling
Your senior reps, your founder-sellers, your principal engineers — they're the production function. When they're at capacity, the business is at capacity. You cannot clone them.
03 / The tools gap
Copilots, SDR tools, coding assistants — useful for the person using them, invisible at the P&L level. Point tools don't move revenue-per-head. Systems do.
The system
Two practices, one firm
Most operators know exactly which side of the business is capped by headcount. Pick the one that's hurting. The other one's still here when you're ready.
For CEOs, CROs, and CMOs who are tired of rep hiring as the governor on growth. AI SDRs and AI Marketing Managers orchestrated into one self-improving pipeline system. Production-deployed three times across PE-backed operators.
See the Sales OS → Product OSFor CEOs, CPOs, and CTOs who are watching roadmap debt outpace engineering capacity. AI Product Managers and AI Engineers orchestrated into a throughput system where spec quality and shipped velocity both compound.
See the Product OS →Shipped, not pitched
Every number below comes from production systems running inside PE-backed operators and an enterprise product org. Not demos. Not pilots.
Cost per qualified meeting below mid-market benchmark. Time-to-first-touch cut from days to hours at a PE-backed workforce operator.
Product OS AI assessment system 92%Time-to-feedback reduction at 98% accuracy against the human baseline. Human capacity redeployed upstream.
Product OS Enterprise AI OS · Everway $1B+Value creation across a post-merger EdTech leader. 400%+ content efficiency, 30%+ cost reduction, $6M+ delivered under budget.
How we work together
We don't sell retainers to figure out what to do. We start with a paid diagnostic, ship one piece of the system, then operate and compound it for you. Clean, sequential, predictable — whether you start with Sales OS or Product OS.
Diagnostic
A focused engagement that maps where your sales or product operations are bleeding — and what to build first. Fixed scope, fixed fee.
Build
Design and deploy the system. Typically a 4–10 week sprint scoped directly from the diagnostic findings.
Retainer
Embedded capacity for operators who want continuous improvement. Scope and terms defined during the diagnostic.
All engagements begin with the diagnostic. Build and retainer investment is scoped from there.
Who builds it
Tim Alvis architects the systems. Founding CTO ×2 (both exited), CPTO at SPINS through its $1.25B exit, and most recently shipped AI products driving $6M+/yr in cost reductions and 400%+ productivity gains at an enterprise EdTech leader.
Evan Shy leads deployment. CEO that sold Coding Temple after doubling it, led the M&A that brought 3 workforce companies under one roof, after growing the portfolio through the worst EdTech market in a decade by deploying AI systems across every P&L function. Operating Partner at Vitamin Capital. The dyad is intentional: architect designs the system, operator makes sure it actually runs inside your business.
Questions you should ask us
Point tools (Copilot, Clay, Cursor) help an individual do their job faster. They don't move revenue-per-head at the business level. An operating system is a set of agents that own specific jobs end-to-end, talk to each other across handoffs, and improve each cycle. You stop buying capacity by the seat. You buy throughput by the system.
Wherever hiring is most painful right now. If your growth plan dies on "we need to hire more SDRs or reps," start with Sales OS. If your roadmap is stalling on eng capacity or PM quality variance, start with Product OS. You can sequence the second pillar once the first one is stable. Most operators start with Sales OS — the math is faster to see.
We work best with operators between $5M and $500M in revenue — enough scale that the workflows are real and repeatable, not so large that procurement takes a year. PE-backed and founder-led both work. We'll tell you honestly if you're too small or too early.
No. We build into your existing tools — HubSpot, Salesforce, GitHub, Linear, Jira, whatever you're running. We add the intelligence and orchestration layer; we don't replace your systems.
Every agent is designed with review gates at the decisions that matter. The system drafts; a human approves anything that goes to a customer, ships code to prod, or affects money. We measure accuracy from day one and tune until it beats your current baseline.
Diagnostic kicks off within 7 days of signing. First agent ships within 30–60 days of the diagnostic. You see real pipeline or real shipped product inside 90 days from our first call.
Start here
Two weeks, $5,000, a prioritized roadmap with the business case for each agent worth deploying. Refunded if we can't find $100K+ of annual value. Works for either pillar.
Book a diagnostic