March 2026 — Board Briefing
Prepared by Ray Bargas, CTO
AI staff as employees. Token spend as compensation. Outcomes as value.
Rev.io has deployed 32 AI staff members across the organization. Each operates as a persistent employee with a specific role, reporting chain, and measurable output. This report treats them exactly like headcount: what do they cost, and what does the company get back?
Anthropic API — all models, all keys, 31 days
Sonnet is the workhorse. Opus reserved for deep reasoning. Haiku for lightweight automation. Additional savings from Gemini Flash and local Qwen3 (free) not reflected here.
Top 10 of 32 active keys. C-suite bots = 65% of total.
Deep dive: March 2026
Mar 5: $413 — Initial infrastructure build (Teams, email, Slack)
Mar 24: $286 — Auth outage incident + Teams formatting rebuild
Mar 27: $246 — Bot Council strategic session + memory cleanup
Mar 31: $327 — Relay flooding bug discovered and fixed
Mar 7-10: $4-7/day — Steady state operations
Mar 28-29: $5-7/day — Post-optimization baseline
Target: <$10/day idle, <$50/day active
Simon's output catalog — March 2026
Conservative estimate — CTO time reclaimed
Simon self-optimizes. Unlike human employees, his cost trends down over time.
March was a build month. Infrastructure investment drove the spend. April steady-state target: <$1,500/mo for Simon, <$8,000/mo org-wide.
32 AI staff members — March spend ranked
| AI Staff | Exec Sponsor | Spend | % | Function |
|---|---|---|---|---|
| Romer | Brent (CEO) | $3,672 | 30% | Strategy, sales intel, CIM |
| Simon | Ray (CTO) | $2,573 | 21% | CTO ops, Teams, tooling |
| Revay | Evan (COO) | $1,669 | 14% | Ops, onboarding, metrics |
| Robin | Ryan Downs | $1,398 | 12% | Engineering ops |
| Marvin | Usman | $715 | 6% | Technical deep dives |
| Jennifer | Jennifer H. | $542 | 4% | Team operations |
| Minion | Darin Hansen | $509 | 4% | Cloud/DevOps |
| N8N + Fabric | (System) | $297 | 2% | Workflow automation |
| 18 others | Various | $786 | 6% | Individual assistants |
Comparables
$12,161/mo = Rev.io's entire AI staff. 32 AI employees. 24/7 availability. Real-time Teams/Slack/email monitoring across the entire leadership team. Automated intelligence briefs. Incident response. Custom tool development. Meeting synthesis. Strategic analysis. Self-optimizing cost structure.
One junior analyst.
$145K/year. 40 hrs/week. 2 weeks PTO. Benefits. 3-month ramp. Management overhead. Can't code. Sleeps 8 hours.
3-5 EAs + 1 DevOps engineer + 1 analyst.
$500K-800K/year. And they still can't read 56 chats simultaneously or build tools at 2am.
Strategic value to Rev.io
Dog-fooding AI operations. Rev.io sells AI capabilities to MSPs. Our CTO, CEO, and COO running AI staff members is not just efficiency — it's product intelligence. Every API gap, every workflow success or failure, directly informs what we build for customers.
Organizational AI literacy. 32 keys = 20+ humans using AI assistants daily. This is not a pilot. This is institutional capability. When competitors are still debating AI policy, Rev.io's leadership team has 2 months of operational experience.
Compounding returns. Every tool built, every workflow automated, every integration identified — it persists. Month 2 is cheaper and more capable than Month 1. The AI fleet gets better while human costs stay flat.
Rev.io spent less on its entire AI workforce in March
than a single junior hire would cost per year.
And it's getting cheaper every month.