SnxwFairies · Autonomous Revenue Operating System
Set the objective.
An AI organization does the work.
22 specialized agents plan, produce, qualify and prepare outreach against your company's shared brain — and publishing, sending and spending wait for a human by default.
- 22
- revenue agents
- 25
- virtual QA humans
- L0–L4
- autonomy, gated
It knows who you are before it writes a word
Once it is set, every agent reads your Organization DNA — brand voice, mission, ICP, differentiators — plus a ranked slice of the Company Brain, before generating anything. Agents can propose updates to that identity; only a human can make them true.
- →Typed identity record, not a pile of prompts
- →Evidence-scored: AI-only inference is capped at LOW confidence
- →Monthly loops flag positioning drift for review
# Example Organization DNA (illustrative, not a real record)
Mission: Reliable ERP for Indian logistics
Brand voice: Plain, confident, no jargon
Differentiators: 24/7 support; on-site onboarding
— read by every agent, on every run, once set —
A whole revenue organization, on staff
Each agent has one job, explicit permissions, and an output schema the next agent can consume. Twelve of the twenty-two:
Market Intelligence
analyses industries, competitors and buying signals from what you have recorded
ICP & Customer Intelligence
defines who the product is for
Positioning & Strategy
proposes the value proposition for a human to approve
Content Strategist
plans every piece against the funnel
Content Production
drafts in the brand voice, into human review
SEO
keyword research, content gaps, on-page and technical recommendations
Social Distribution
adapts approved content per channel and schedules it; nothing publishes until a channel is connected
Lead Generation
proposes prospects matching the ICP, with source and confidence recorded
Lead Qualification
scores HOT to DISQUALIFIED
AI Sales
prepares answers and objection handling, escalates high-value deals
CRM & Pipeline
maintains leads, deals, stages and attribution
Revenue Intelligence
funnel and pipeline metrics; revenue reads UNMEASURED until a product reports it
How a sentence becomes shipped work
- 1
Set an objective
One sentence from a human: what the business needs next.
- 2
The orchestrator plans
It reads your Organization DNA (once one is set) and your recent objectives, then builds an agent pipeline — only from agents that exist.
- 3
Agents execute
Each consults the Company Brain before writing a word. Outputs feed forward, step by step.
- 4
Risk is gated
Autonomy levels × risk classes, checked before every external action. CRITICAL is never autonomous.
- 5
The system learns
Daily, weekly and monthly loops review what happened and propose changes — a human decides on them.
An AI quality organization, with real browsers
25 virtual humans drive a real headless Chromium through the applications you register — login, critical workflows, access control — on a schedule. Defects deduplicate by signature, and a person can file one to GitHub through the same approval gateway (simulated until GitHub is connected). AROS will not record a product as launched or scaling without a passing QA certificate.
Autonomy you can switch off
Risk-gated actions
Autonomy L0–L4 × risk LOW→CRITICAL, checked before every external action an agent requests.
Human approval
Publishing, sending and spending wait for a person by default. CRITICAL is never autonomous. Approvals route to the right role.
Kill switch
One global switch, re-checked at execution time, stops autonomous external action.
Append-only audit
Every action, decision and cost is recorded, and entries are never deleted.
Ready to put it to work?
Sign in to the console, set an objective, and review the plan it builds. Access is by invitation — if you do not have an account yet, ask us about a pilot.