The Raisy Blog
A 20-Role AI Department for $24K a Year
A full department of bot workload for $24,000 a year, with people at every decision gate. The Raisy ROI math, with the numbers.
Staffing a single junior marketing role costs about $60,000 a year. Running an entire department's workload on Raisy costs around $24,000 a year: fundraising research, sales outreach, recruiting screens, support triage. This post prices workloads, not people: the point of the math is that a young company can afford both the bots and, more importantly, the humans who direct them. The number should not be a vibe; it should be a spreadsheet.
What we set out to change
The real budget a founder protects is the hiring budget. Software budgets are small and forgiving; headcount is large and permanent. Every time a company adds a function: outreach, investor research, recruiting, support. It faces the same choice: hire a person for the whole stack of tasks, or pay an agency. Both are expensive, and neither scales down when the workload does. (This is the Raisy vision in numbers; read about how bots earn trust in our lifecycle post, or browse the blog.)
The idea / how Raisy fixes it
Raisy prices the toil, not the people. Instead of asking "what does this person cost," the question becomes "which of this function's tasks should a bot prepare, so a person can decide." Bots take the drafting, sourcing, and tracking; humans keep the judgment, the relationships, and the final call. The bots are employees with a career path: reviewed, promoted, and audited, not one-off automations, and never a replacement for the people who run them.
The math
- Fundraising researcher + pitch writer + tracker: $220,000/yr fully staffed → $3,600/yr Raisy.
- Sales BDR + email copywriter + LinkedIn SDR: $215,000/yr → $4,800/yr.
- Recruiting sourcer + screener + scheduler: $105,000/yr → $3,600/yr.
- Support agent + auto-responder: $80,000/yr → $2,400/yr.
- IR manager + board pack assembler: $170,000/yr → $2,400/yr.
Every role is a set of kernels (rules the bot follows) deployed inside a process, with human review at the boundary. When you grow, you deploy another bot; when a function slows, you pause it, and the people you hire spend their time on judgment, not prep work.
The numbers behind this table are downloadable: get the 20-role cost model as a CSV.
What the user actually sees
You open Raisy and see your departments as a roster. Each bot shows its role, its current approval mode, its confidence, and its audit log. Promote a bot to FULL_AUTO and it keeps working while you watch the trail. Pause a bot and the cost stops with it.
Figure 1. The 98% cost gap as a waterfall — fully staffed $1.185M drops by the savings to Raisy $24K. Hover for values.
Why this matters beyond convenience
This is not a discount on software; it is a change in what a company can afford to attempt. Fully staffing this department costs $1.1M a year, out of reach for most founders. The bot workload is not. When the cost of running a function drops by 98%, the constraint stops being money and starts being judgment, and judgment is human work. That is the point of Raisy: bots do the toil; people make the decisions. Everything comes prepared, the only thing left for a human is the call that matters.
See the full cost model at raisy.team and price your own department
FAQ
Are you pricing people or workloads?
Workloads. Each line is the cost of staffing that function’s tasks with full-time hires, compared to the same tasks prepared by bots with human review at the gate. People are the decision-makers, never the thing being priced.
Where do the numbers come from?
Raisy’s value model (committed value data) maps bot roles to full-staffing cost equivalents; the table is reproducible from that model.
Do I need all 20 roles?
No. Deploy one bot or a full department; the model scales down and up, and you pause a bot’s cost when a function slows.
What do the humans do?
They review every external action and make the calls that matter: approvals, edits, and judgment. The bots prepare; the people decide.
Sources
Raisy’s internal workforce value model (20 bot roles vs full-staffing cost equivalents). Numbers transcribed from the committed value data; re-run the model to reproduce.
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