When AI is already making decisons

Governance matters most.

Especially when use is already widespread, oversight is thin and the risk of getting it wrong is real. 

Find clarity

When AI is already making decisions

Governance matters most.

Especially when use is already widespread, oversight is thin, and the risk of getting it wrong is real.

You're expected to govern what's unclear.

Including when:

  • AI is in use but not monitored
  • No one knows who owns the risk
  • Regulation is lagging or changing

These moments require insight, clarity and strategy.

  • This is where Trusted Clarity comes in.

"You cannot defend what you have not governed, and you cannot govern what you do not understand."

FRAMEWORK

The Trusted Clarity Model

A three-part process for responsible AI adoption and preparing for scrutiny.

BUILT BY KERRY KNIGHT CHART.PR

UNDERSTAND

What AI is in use, why and what it’s allowed to do.

Including the regulation that applies, AI literacy and competency for responsible AI adoption.

Foundations
  • Scope and purpose
  • Guiding principles
  • Regulatory and legal mapping
  • Explainability requirements
  • AI literacy and competency

GOVERN

Who owns AI accountability and what’s been tested before going live.

Including risk classification, data governance and supplier accountability for accountable AI operations.

Structure and Accountability
  • Roles and accountability
  • Board reporting and escalation
  • Employee rights and protections
  • Workforce training and transition
  • AI-specific whistleblowing
  • Cross-discipline integration
  • Risk classification
  • Testing and pre-deployment validation
  • Ethical review
  • Supplier procurement and accountability
  • Environmental and resource risk
  • Permitted and prohibited uses
  • Data governance
  • Accessibility and inclusion

DEFEND

Being prepared for internal and public scrutiny.  

Including incident response, monitoring and transparency for defensible AI governance.

Monitoring and Transparency
  • Monitoring, metrics and measurement
  • Stakeholder engagement
  • Transparency and external comms
  • Incident response
  • Review and version control

Are you ready?

Sense-check your AI governance before scrutiny tests it.

Our AI Health Check reviews your existing governance framework and sense-checks it against the trusted clarity model to highlight gaps and recommendations for responsible AI adoption.  

Enquire about an AI Health Check

"Understanding AI is the starting point, governing it is the obligation and defending it is what proves that both were done seriously."