ATLAS by Wasabi AI

The On-Premise AI Operating System

"Your AI. Governed. On your terms."

The Problem: AI in Silos

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 Governance

No oversight, no audit trail, no compliance framework

No Consistency

Brand voice fragments across every tool and team

No Security

Sensitive data flows into third-party cloud platforms

No ROI

No coordination, no measurement, no accountability

The Solution: ATLAS

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.

Corporate Org Chart Model

CEO, CFO, CTO agents delegate intelligently to specialist agents across every department

On-Premise Deployment

Company data never leaves the building — full sovereignty, zero cloud exposure

RAG-Grounded Intelligence

Agents learn from your own documents, SOPs, pricing, and client history

Full Audit Trail

Every agent action is logged with human-in-the-loop approval workflows

How It Works: The AI Org Chart

ATLAS mirrors a real corporate hierarchy — executive agents triage and delegate, specialist agents execute with precision.

Executive Layer
CEO Agent

Strategic triage and delegation across all departments

CFO Agent

Finance, quotes, reporting and financial oversight

CTO Agent

Systems, code, and integrations management

Specialist Layer
Admin Agent

Email triage and scheduling automation

Sales Agent

Lead qualification and quote drafting

Brand Agent

Tone enforcement and template compliance

Compliance Agent

PII detection and regulatory checks

All agents pull from a shared RAG knowledge base loaded with your actual business data.

Brand Enforcement at Every Output

Every outbound communication passes through the Brand Agent before delivery — automatically scored and enforced against your guidelines.

Scoring Engine

Content scored 0–100 against brand guidelines stored in the knowledge base. Below threshold = rejected with specific feedback.

What Gets Checked

Tone of voice, terminology, prohibited words, email signatures, imagery standards, and template compliance.

The Result

Corporate voice stays consistent across every channel, every agent, and every output — without manual review.

On-Premise Data Sovereignty

ATLAS runs on the client's own hardware. Your most sensitive business data — pricing, client history, financials, SOPs — never leaves the building.

Standard Tier

LLM API calls only leave the premises — all data stays local

Enterprise Tier

Local LLM models via Ollama — zero cloud operation

No SaaS Lock-In
No Data Exposure
Full Control
Pricing

Transparent, modular pricing designed for SME budgets — with clear paths to enterprise scale.

Starter

$2,500/mo · Setup: $5K

  • 3 agents, 500 tasks/mo
  • RAG knowledge base
  • Dashboard + audit trail
Professional

$5,000/mo · Setup: $10K

  • All 7+ agents, 2,000 tasks/mo
  • MCP integrations: Xero, CRM, email
  • Full brand enforcement
Enterprise

$8,000+/mo · Setup: $15K+

  • Custom agents, unlimited tasks
  • Local LLM (zero cloud)
  • White-label deployment

Add-on agents: $500–$1,000/mo each. Overage: $1.50–$2.00/task.

Target Market
Ideal Customer Profile
Company Size

30–500 employees, $8M–$100M ARR

Tech Stack

Already running ERP/CRM — Sage, Xero, MS Dynamics, Salesforce, Zoho

Geography

New Zealand and Australia first

Key Verticals
Manufacturing
Professional Services
Construction
Agriculture
Healthcare
Retail
Competitive Position

ATLAS doesn't compete with ChatGPT or Copilot. It competes with the absence of governance.

Revenue Model & Unit Economics
$4,500
Avg MRR / Client

$54K ARR per client

80%
Gross Margin

LLM cost: $200–$800/mo per client

Revenue streams: Monthly managed service, task overage, add-on agents, setup fees, and optional hardware supply.

Go-To-Market Strategy
1
Phase 1 · Months 1–3

Build MVP. Deploy 2–3 pilot clients. Apply for MBIE co-funding. Validate core agent framework.

2
Phase 2 · Months 4–6

Full launch. Accounting firm channel partnerships. LinkedIn thought leadership. Publish first case studies.

3
Phase 3 · Months 7–12

Enterprise tier launch. Australia market expansion. MSP partnerships. Custom agent marketplace.

The Vision: Agent-to-Agent Commerce

ATLAS becomes the infrastructure for the next generation of B2B commerce — where AI agents negotiate and transact autonomously, with full auditability.

1
Year 1 — Foundation

8–12 NZ clients. Prove the governed AI model in the market.

2
Year 2 — Scale

Australia expansion. MSP channel. 25–40 clients across verticals.

3
Year 3 — Platform

Agent-to-agent commerce. Client A's procurement agent negotiates with Client B's sales agent. MCP-governed. Fully auditable. Autonomous.

Let's Build the Future of Governed AI

"Your AI. Governed. On your terms."

ATLAS by Wasabi AI

Phil Wesley-Brown
Founder

phil@wasabi.digital

Why Now?

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.