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AI Governance Built Exclusively for AI Vendors

Most governance frameworks are designed for companies that use AI tools. Ethos exists for companies that build and sell them. The compliance obligations, the risk surface, the procurement questions and the governance documentation requirements are fundamentally different when AI is your product. We built Ethos around that difference.

Why We Work Exclusively With AI Vendors

The compliance obligations, risk surface and governance requirements for companies that build and sell AI products are fundamentally different from those that use AI tools internally. Ethos was built for that context. We don't dilute our focus by serving both.

check_circle Who we serve
  • AI SaaS companies
  • AI-powered platform providers
  • Companies offering AI APIs or models
  • B2B AI vendors at any stage from micro-startup to ~200 people
cancel Who we don't serve
  • Companies using AI tools internally (no AI product)
  • General IT consultancies or software vendors
  • Non-AI software companies
  • Those seeking legal representation

How We Think About Governance

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Governance as Competitive Advantage

Done properly, AI governance is not a cost of compliance: it is a commercial asset. It unlocks enterprise contracts, satisfies investor due diligence and signals technical and operational maturity to the market.

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Precision Over Generality

Vague "best practices" are not governance. Ethos works from specific obligations: the Privacy Act, the APPs, Australian Consumer Law, the GfAA and ISO 42001. It produces documentation that can withstand scrutiny.

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Accessible to Startups, Not Just Enterprise

Early-stage AI companies face the same governance questions as large enterprises, without the same resources. The Ethos tiered model was designed with this in mind.

The Team

The Ethos team holds qualifications across law, engineering and finance: the intersection that makes rigorous AI governance possible.

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Law
Experience with Australian law & regulatory frameworks, including privacy, consumer protection and AI-specific obligations.
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Engineering
An understanding of AI systems architecture, development lifecycle and risk surface: essential for governance that actually holds up.
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Finance
Commercial and financial acumen: governance designed to open doors and satisfy investor due diligence, not just check compliance boxes.