AI Delegation Design Audit
A tool for companies to decide which tasks to give to AI and which to keep for humans.
A diagnostic that applies a proven organizational-design framework to tell companies which tasks and decisions to hand to AI, which to keep human, and how reporting lines must change — with guardrails that preserve employee control.
Concept
A guided diagnostic — facilitator playbook plus scoring software — that answers one question for a leadership team adopting AI: which tasks and decisions should go to AI, which stay human, and what must change in reporting lines and knowledge access as a result? The team inventories recurring tasks and decisions, scores each on the multi-contingency dimensions the framework supplies (task variety, interdependence, knowledge intensity), and receives a three-tier delegation map: AI-executed, AI-assisted with human decision rights, and human-only. For every reallocation the tool specifies the required changes to 'talk to whom' (communication lines) and 'know what' (knowledge access), and a control-and-support guardrail flags any reallocation that strips employee autonomy — so restructuring preserves well-being, not just headcount efficiency.
Why now
The fifth edition of Organizational Design [0] extends the multi-contingency model — built on decades of research and cases including Microsoft and Haier — explicitly to AI integration and knowledge interdependence, turning 'who should do what, talk to whom, and know what' into an answerable design question once AI agents enter the workflow. Industry 5.0 research on adaptive human-computer interaction [1] frames human-centric collaboration between people and intelligent systems as the central design problem of intelligent environments, reinforcing that AI adoption is an organizational-design decision, not just a tooling decision. And the STAR group-randomized field trial with 867 IT workers [5] showed that organizational interventions changing employee control and support measurably improve well-being — direct evidence that AI-driven restructuring should be designed around control-preserving delegation rather than pure task subtraction.
Written by GLM · 8 Oct 2026
AI assessment
A high-value strategic diagnostic tool that transforms academic organizational design theory into a practical software-enabled playbook for AI workforce restructuring.
- Evidence strength 4/5
- The idea is strongly grounded in a specific, updated textbook framework (Multi-contingency model) and corroborated by field trials on employee control and Industry 5.0 HCI principles.
- Market pull 5/5
- Enterprises are currently struggling with 'AI anxiety' and haphazard implementation; a structured method to redefine roles and reporting lines has immense urgency and high budget potential.
- Novelty & moat 4/5
- While the catalog contains HR auditing tools, this is the first to focus on the structural redistribution of decision rights and reporting lines specifically for AI integration.
- Feasibility 5/5
- The MVP is a scoring engine and a facilitator playbook based on existing frameworks, requiring minimal technical risk and no complex AI development to launch.
- Wedge clarity 4/5
- The 'Delegation Map' provides a sharp, tangible output that gives leadership a concrete starting point for restructuring.
- Simplicity / focus 5/5
- The product is focused on a single, clear objective: a diagnostic audit to determine task allocation between humans and AI.
Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
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Who benefits
- Microsoftcompany
A case company in the source framework and the largest-scale deployer of AI copilots inside its own workforce; the audit gives it a repeatable method for deciding which workflows copilots absorb and which team communication lines must be redrawn.
- Haiercompany
Its RenDanHeYi model distributes decision rights across thousands of microenterprises; the audit tells each unit which decisions AI can take over without breaking local accountability.
- Deloittecompany
Its Human Capital organizational-design practice could productize the audit as a fixed-scope offering for mid-size clients undertaking AI restructuring.
- Workdaycompany
Could embed the delegation map as a planning module for enterprise customers modeling AI-driven role and reporting-line changes.
Research it builds on
- Does a Flexibility/Support Organizational Initiative Improve High-Tech Employees’ Well-Being? Evidence from the Work, Family, and Health NetworkPhyllis Moen, Erin L. Kelly, Wen Fan et al. · 2016 · 339 citationsAll ideas from this paper →
- Organizational DesignRichard M. Burton, Børge Obel, Dorthe Døjbak Håkonsson · 2026 · 221 citationsAll ideas from this paper →
- Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validationRania Hamdani, Inès Chihi · 2025 · 38 citationsAll ideas from this paper →