Article
Protecting the knowledge the enterprise cannot afford to lose
Why succession, concentrated expertise and workforce resilience are becoming material continuity risks in complex organizations.
Redesign work around what humans and technology each do best rather than layering AI onto roles built for a different operating model
We connect task economics, human judgment and technology capability to determine how work, roles and accountability should be divided in hybrid systems.
Adding technology to an existing role often automates fragments of work while leaving the wider workflow unchanged. This can create duplicated effort, unclear accountability and new coordination tasks that offset expected productivity gains. Effective human-technology design starts with the work itself. It identifies where machines provide speed, scale or consistency and where humans remain essential for judgment, context, relationships or accountability. Roles and workflows can then be rebuilt around this division, ensuring that automation changes how work is structured rather than simply inserting additional tools into processes designed for an earlier technological environment.
Focus
Work design determines how humans and technology should divide responsibility
The question is which tasks require judgment, interaction or accountability and which can be shifted to machines or systems.
Read nowStrategic Challenges
Which tasks still require human judgment once technology improves?
The challenge is redesigning roles without preserving obsolete work or delegating decisions that still need human accountability.
Read nowStrategic Impacts
Task-level design makes human and technology contributions more explicit
Clear allocation of work can reduce duplication, improve role clarity and concentrate human effort where judgment matters most.
Read nowObserved Patterns
Role redesign often changes job titles while leaving task structures untouched
Organizations miss much of the value when automation is added around legacy roles instead of reconsidering the work itself.
Read nowStrategic Challenges
Which tasks still require human judgment once technology improves?
The challenge is redesigning roles without preserving obsolete work or delegating decisions that still need human accountability.
Read nowStrategic Impacts
Task-level design makes human and technology contributions more explicit
Clear allocation of work can reduce duplication, improve role clarity and concentrate human effort where judgment matters most.
Read nowObserved Patterns
Role redesign often changes job titles while leaving task structures untouched
Organizations miss much of the value when automation is added around legacy roles instead of reconsidering the work itself.
Read nowPOV
Do not redesign jobs around technology; redesign work around outcomes
Technology should change task allocation only where it improves the way work is performed, governed and owned.
Read nowOur approach
Redesign the complete workflow around the division of labor between people and technology rather than automating isolated tasks
Our approach begins by mapping the work outcome, workflow and decisions before examining individual roles. Each activity is assessed according to technology capability, variability, consequence, need for judgment and human interaction. We then define which tasks should be automated, AI-assisted or human-led and redesign handoffs, decision rights and accountability around that division. Representative workflows are tested for productivity, quality and usability before roles are finalized, ensuring new designs remove work and friction rather than adding technology while preserving the same underlying coordination burden.
The data and estimates presented are indicative and intended for illustrative purposes. Actual outcomes may vary based on each company’s specific context, market conditions, operating model, implementation choices, and the quality and consistency of execution, including actions undertaken by the client.
Keypillars
Explore the key pillars that define this capability and shape how we create focused, measurable business impact.
Task allocation
Determines which activities should remain human-led, become technology-enabled, or shift toward automation based on judgment, risk, and complexity
Role coherence
Reconstructs roles around meaningful bundles of accountability rather than layering new technologies onto outdated job structures
Interaction design
Defines how employees engage with systems, AI, automation, and digital tools across workflows where effective coordination is essential
Which work should remain human, which should become technology-enabled and which should disappear entirely?
Get in touch with our Human-technology work and role design team to redesign tasks, roles and interactions around human and technology capabilities.
Get in touchStrategic Framework
Explore our Strategic Framework
Explore our strategic framework applied to page_title and discover which model we apply to help you achieve your goals and objectives.
Discover our framework01. Decompose work
Break roles into tasks, decisions, interactions, knowledge requirements, and activities suitable for redesign
06. Refine design
Adjust roles, workflows, interfaces, and activity allocation as operational evidence and technology capabilities evolve
05. Test operation
Evaluate usability, productivity, work quality, cognitive load, control, and employee interaction in practice
02. Allocate activity
Determine where human judgment, automation, AI, digital tools, or combined execution best fit each activity
03. Design workflows
Restructure handoffs, decision points, interfaces, controls, and interactions between people and technology
04. Rebuild roles
Define responsibilities, skills, authority, workload, and performance expectations around redesigned work
How we help
Redesign roles and workflows around a deliberate division of responsibility between people, AI and automation
We provide human-technology work and role design across workflows, tasks and decision systems. The work can include task decomposition, automation and augmentation analysis, role redesign, decision-rights definition, human-machine handoffs and workflow testing. Outputs clarify which activities should remain human-led, where technology should assist or execute, how accountability should work and whether redesigned roles genuinely reduce effort and improve performance rather than adding new tools to legacy work structures.
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Work decomposition analysis
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Human-technology task allocation
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Technology-enabled role design
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Human-AI role design
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Human-automation workflow design
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Digital work redesign
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Role simplification
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Job enrichment design
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Role consolidation assessment
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Role specialization assessment
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Manager role redesign
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Frontline role redesign
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Knowledge worker role redesign
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Human oversight design
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Role effectiveness testing
Explore our FAQs
Find answers to the most common questions about this service, including key features, processes, and practical considerations. Explore our FAQs for additional insights and guidance.
It determines how tasks, decisions and responsibilities should be divided between people and technology to improve overall performance.
Assign tasks based on judgment, repeatability, risk, speed and the comparative strengths of human and technological execution.
Redesign when technology changes several related tasks, decision rights or collaboration patterns rather than only one isolated activity.
Human accountability should remain explicit where decisions carry material business, legal or ethical consequences.
Employees may face unclear expectations, weak training or tools that add steps without improving the underlying work.
Test them in real workflows and measure quality, effort, decision speed and user experience before broad implementation.
Remove obsolete tasks and handoffs rather than layering new tools onto processes that were never redesigned.
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Editorial overview
Articles
The AI workforce is an operating-model question
How companies can redesign roles, skills and capacity around the work that AI should automate, augment or leave to people.
Read articleProtecting the knowledge the enterprise cannot afford to lose
Why succession, concentrated expertise and workforce resilience are becoming material continuity risks in complex organizations.
Read articleFocus
Workforce planning should begin with future work, not current headcount
The task is translating strategy into demand for roles, skills and capacity under different operating and market scenarios.
Critical knowledge becomes a risk when it is concentrated in too few people
Expertise, institutional memory and tacit know-how can create hidden dependency across operations, decisions and customer relationships.
Strategic challenges
What knowledge would the organization struggle to replace if it disappeared?
The challenge is identifying expertise that is both hard to transfer and material to continuity, performance or decision quality.
Which workforce dependencies could stop critical operations from functioning?
The challenge is identifying roles, locations and skills where limited redundancy creates disproportionate continuity risk.