"Your AI. Governed. On your terms."
Businesses are running AI across departments with zero coordination — Marketing on ChatGPT, Finance on invoice tools, Sales on lead platforms, IT building Zapier workflows. The result is chaos.
No oversight, no audit trail, no compliance framework
Brand voice fragments across every tool and team
Sensitive data flows into third-party cloud platforms
No coordination, no measurement, no accountability
ATLAS is a governed AI workforce that operates like a virtual corporate leadership team. Not a chatbot. Not a workflow tool. A complete AI operating system built for the enterprise.
CEO, CFO, CTO agents delegate intelligently to specialist agents across every department
Company data never leaves the building — full sovereignty, zero cloud exposure
Agents learn from your own documents, SOPs, pricing, and client history
Every agent action is logged with human-in-the-loop approval workflows
ATLAS mirrors a real corporate hierarchy — executive agents triage and delegate, specialist agents execute with precision.
Strategic triage and delegation across all departments
Finance, quotes, reporting and financial oversight
Systems, code, and integrations management
Email triage and scheduling automation
Lead qualification and quote drafting
Tone enforcement and template compliance
PII detection and regulatory checks
All agents pull from a shared RAG knowledge base loaded with your actual business data.
Every outbound communication passes through the Brand Agent before delivery — automatically scored and enforced against your guidelines.
Content scored 0–100 against brand guidelines stored in the knowledge base. Below threshold = rejected with specific feedback.
Tone of voice, terminology, prohibited words, email signatures, imagery standards, and template compliance.
Corporate voice stays consistent across every channel, every agent, and every output — without manual review.
ATLAS runs on the client's own hardware. Your most sensitive business data — pricing, client history, financials, SOPs — never leaves the building.
LLM API calls only leave the premises — all data stays local
Local LLM models via Ollama — zero cloud operation

Transparent, modular pricing designed for SME budgets — with clear paths to enterprise scale.
$2,500/mo · Setup: $5K
$5,000/mo · Setup: $10K
$8,000+/mo · Setup: $15K+
Add-on agents: $500–$1,000/mo each. Overage: $1.50–$2.00/task.
30–500 employees, $8M–$100M ARR
Already running ERP/CRM — Sage, Xero, MS Dynamics, Salesforce, Zoho
New Zealand and Australia first
ATLAS doesn't compete with ChatGPT or Copilot. It competes with the absence of governance.
$54K ARR per client
LLM cost: $200–$800/mo per client
Revenue streams: Monthly managed service, task overage, add-on agents, setup fees, and optional hardware supply.
Build MVP. Deploy 2–3 pilot clients. Apply for MBIE co-funding. Validate core agent framework.
Full launch. Accounting firm channel partnerships. LinkedIn thought leadership. Publish first case studies.
Enterprise tier launch. Australia market expansion. MSP partnerships. Custom agent marketplace.
ATLAS becomes the infrastructure for the next generation of B2B commerce — where AI agents negotiate and transact autonomously, with full auditability.
8–12 NZ clients. Prove the governed AI model in the market.
Australia expansion. MSP channel. 25–40 clients across verticals.
Agent-to-agent commerce. Client A's procurement agent negotiates with Client B's sales agent. MCP-governed. Fully auditable. Autonomous.
"Your AI. Governed. On your terms."
Phil Wesley-Brown
Founder
phil@wasabi.digital
AI adoption is accelerating — but governance is lagging. ATLAS is the first solution purpose-built to give SMEs the oversight, security, and brand control they need to deploy AI with confidence.
Deployed in weeks. Priced for growth. Built for the future.
The On-Premise AI Operating System