AI Builders & Providers

Even a small AI component can materially influence outcomes, user experience, and risk exposure. Transparency is often tested only when incidents occur, customer scrutiny increases, or procurement reviews become stricter.

AI product owner

You develop and provide products with AI features

CEO, CTO, or CPO of a company that ships a product with an AI-enabled feature. Even if AI isn’t the whole product, or even the company’s main focus. That feature still shapes outcomes, user experience, and risk exposure for the people who use it.

Customers, investors, and procurement teams are starting to ask how it works. Right now you don’t have a structured, documented way to answer, and you’d rather build that baseline on your own timeline than under pressure after an incident, a lost deal, or a failed procurement review.

Is This the Right Track?

👌 Best For

  • Product companies that have AI-enabled features and need a first structured transparency baseline
  • Teams preparing for stronger customer, investor, or procurement questions

✋ Not For

  • Teams seeking external audit or certification services
  • Organizations looking for full legal compliance advice outside transparency scope

Why Now?

Many companies believe they are not an AI company. In practice, even a limited AI feature can affect outcomes, influence decisions, and trigger expectations from customers, investors, and procurement teams.

Most organizations are challenged on transparency after an incident, not before one. Early disclosure work gives teams a documented baseline before pressure escalates.

Choose Your Level of Engagement

DisclosePlan

Flat fee, scope confirmed at intake

Includes:

  • AI Transparency Readiness Assessment
  • Open Ethics Canvas Workshop and Workshop Report
  • Machine-readable Transparency Disclosure draft (Open Ethics Transparency Protocol)
  • Open Ethics Label draft package
  • Policy Roadmap
  • Disclosure Review Summary (advisory)

Outcomes:

  • Clear baseline of transparency strengths and gaps
  • First publishable disclosure package
  • Prioritized roadmap for the next implementation phase

Start with a Discovery Call

EmbedPlan

Based on scope and consulting days

Everything in Disclose, plus:

  • AI Risk Map using the Really Simple AI Risk Framework
  • Guided implementation support for OEMM Level 1 (Awareness) and Level 2 (Transparency)
  • Structured disclosure refinement cycles
  • Internal policy review and recommendations
  • Machine-readable disclosure hosting implementation support
  • Internal team onboarding sessions
  • Maturity roadmap updates and implementation modules

Outcomes:

  • Transparency responsibilities are operationalized across relevant teams
  • Disclosure lifecycle is documented and maintainable
  • Level 1 and Level 2 maturity activities are implemented with advisory support

Book a Consultation

Not the Right Track?