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Sue Broughton

Sue Broughton

Human AI Architect | Behavioural AI Governance | Enterprise Human AI Risk & Capability

Founder & Human AI Architect, Gaia Nexus

Sunshine Coast, Queensland, Australia · Asia-Pacific · English

About

Sue Broughton is the Founder and Human AI Architect of Gaia Nexus, specialising in the human and organisational conditions that change as enterprises adopt increasingly capable AI.

She is the architect of a proprietary behavioural governance architecture comprising behavioural protocols and AI agent instructions across customisable capability bundles, designed to address enterprise problems involving human oversight, reliance, authority, capability and changing Human AI conditions.

Her work focuses on risks that can remain invisible while AI systems are performing successfully and conventional technical controls remain intact: increasing dependency on AI, weakening independent challenge and verification, changing human intervention capability, migration of practical decision authority, and the gap between reported AI productivity and retained enterprise value.

Gaia Nexus can turn identified changes in Human AI conditions into structured Detection Events that external governance and enterprise systems can consume without requiring access to Gaia Nexus's protected derivation logic. This boundary approach has already been demonstrated through live interoperability testing with an independent AI architecture.

Sue works across AI governance, Human AI architecture, enterprise problem solving and interoperability, bringing strong cross-domain pattern recognition to complex problems involving humans, AI systems and organisational governance.

What I do

  • Human AI governance advisory
  • Enterprise AI hidden risk assessment
  • Human oversight and intervention capability assessment
  • AI dependency and human capability risk assessment
  • AI decision authority and reliance assessment
  • Human AI operating model assessment
  • AI productivity and retained enterprise value assessment
  • Human AI governance architecture design
  • Detection Event integration and interoperability advisory
  • Executive and board AI governance advisory
  • AI governance problem solving for complex enterprise systems
  • Custom Human AI behavioural governance capability design

Practice areas

Human oversight, transparency & accountabilityGovernance operating models & AI policyAI risk & impact assessmentEthics, human rights & fairnessData governance, privacy & documentationAI research & public policyAI strategy & transformationChange managementAI agents & automationAI engineering & developmentAI design & user experience

Industries

Financial servicesHealth & life sciencesTechnology & softwareEducationEnergy & utilities

Open to

Consulting, Advisory & board work, Research collaboration, Speaking, Training

Contacts

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