A structured, defensible assurance process for senior leaders who are accountable for AI-influenced decisions and need evidence they can defend.
The Executive Fellowship is the leadership application of Human Authority-Centred Work Design (HACWD) — the methodology developed by Dr Peta Chirgwin through PhD research in mining automation and remote operations. Where HACWD provides the framework for designing human authority into intelligent systems at an organisational level, the Fellowship applies that same rigour to individual executive accountability. It answers a question that governance training rarely addresses: not just what AI governance looks like in policy, but whether you, as the accountable leader, can demonstrate and defend your position when it is tested.
AI systems influence outcomes at scale. Executives are personally accountable for logic they didn't write, systems they cannot always audit, and outcomes they struggle to defend. The cost of getting this wrong is no longer theoretical.
Boards and regulators increasingly demand evidence of governed, defensible decision-making not just enthusiasm for AI.
Executives carry accountability for logic they didn't write and cannot always audit.
Between machines, vendors, and people, it is rarely clear who owns a decision, or where escalation pathways sit.
Automation reshapes work in ways that create anxiety, isolation and burnout but few leaders have assessed this exposure formally.
Directors and regulators increasingly demand evidence of governed, defensible decision-making.

Output
Risk Exposure Report
Output
Accountability Map + Psychosocial Register
Output
Board-Ready Assurance Report + CHSAL
You've approved AI deployments. Can you explain the logic behind them?
A CEO, COO, or divisional leader personally accountable for AI-influenced decisions — and aware that board scrutiny is intensifying.
AI is on your board agenda. Are you asking the right questions?
A non-executive director or company secretary seeking to understand AI governance obligations without needing to become a technologist.
You're seeing workforce changes you can't formally attribute to AI.
An HR, Safety, or Workforce leader who recognises that AI is creating psychosocial risk and wants structured evidence, not just anecdote.
You want to govern AI from the start, not retrofit it after something goes wrong.
An executive beginning their AI governance journey who wants a practical, non-technical entry point that maps to real obligations.
RECOMMENDED
High-touch · Limited cohort · 6–12 weeks
Small executive cohort, practitioner-led, delivered across three phases. Includes all five artefacts, peer dialogue, and optional CHSAL certification. The complete governance journey.
FAST TRACK
Private · Board alignment · 5 days
A condensed, high-impact engagement for boards and leadership teams needing rapid assurance alignment. Suitable for pre-regulatory review or post-incident response.
ENTERPRISE
Internal cohort · Multi-unit delivery
Structured delivery for enterprises scaling assurance capability across multiple business units. Includes facilitator accreditation and a tailored framework. Plus Alumni Circle access.
The objective is not training. It is structured executive assurance. A private 60-minute session to determine context, scope, and the right entry point for your situation. Engagements are strictly confidential. Capacity is limited.
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