Faster local processing may not accelerate the whole
Reducing one department’s handling time can simply move work sooner into another queue. End-to-end performance depends on difficult interfaces, not the sum of local efficiencies.
Redesign how work gets done
Processes, performance and human-AI collaboration.
Expert time is a scarce resource that must be managed.
A SIGNAL WORTH EXAMININGAround 60%
Of surveyed energy firms report hiring difficulties from skills and labour shortages2
2025 · IEA energy-company surveyTHE ZHICE INTERPRETATION
Expert time is a scarce resource that must be managed.
ZHICE sees recruitment budgets as only part of the response to talent constraints. Repeated checks, missing information and unnecessary handovers consume specialist capacity. Management should ask what each expert hour creates. Human-AI collaboration matters when it frees judgement and exception handling while preserving the development of the next generation of professionals.
TWO PERSPECTIVES. ONE BUSINESS QUESTION.
Explore the choices behind the judgement.
01Process intelligence and operating improvementProcess improvement should reallocate scarce expert time.
ExpandCollapse
Process improvement should reallocate scarce expert time.
Skills constraints make process performance more than a cost question for energy businesses. ZHICE asks which waits, rework and handovers prevent specialists from concentrating on consequential judgements. System records offer clues, but cannot explain on their own why work takes its present form.
Process improvement should reallocate scarce expert time.
READING THE OPERATING MODEL
THE REASONINGThe business conditions behind the view
Exceptions often consume more expertise than standard cases
Complex approvals, missing information and conflicting definitions can disproportionately occupy senior staff. Averages hide these cases; process value depends on frequency, consequence and difficulty together.
Digital traces are not the entire job
Offline conversations, unrecorded judgements and recovery work may be absent from event logs. Optimising only visible activities can shift the burden into additional hidden labour.
WHAT THIS MEANS FOR THE BUSINESSConnect the view to resources, ownership and action
01Define the boundary through the business resultRead the choiceCollapse
Use completed trades, restored equipment or resolved customer problems to define process scope. Departmental boundaries should not determine when improvement is declared complete.
02Remove low-value demands on expertise firstRead the choiceCollapse
Repeated confirmation, missing information and unclear responsibilities favour better rules, data and interfaces before automation is considered.
03Preserve judgement for consequential exceptionsRead the choiceCollapse
Standardisation should not remove every difference. High-risk, infrequent and complex cases require explicit expert-intervention conditions and sufficient context.
What would make us revise this judgement?
Logs support comparison only when event definitions, timestamps and scope are reliable. A more detailed process map does not itself establish deeper understanding of the work.
A QUESTION FOR THE NEXT BUSINESS DISCUSSION
Are we shortening system handling time, or the time until a business result is actually achieved?
Process intelligence and operating improvementFull perspective and practical approach
02Human-AI work and role redesignHuman-AI collaboration should increase effective judgement, not merely reduce actions.
ExpandCollapse
Human-AI collaboration should increase effective judgement, not merely reduce actions.
AI can take on preparation and assisted analysis when specialists are scarce. But ZHICE does not equate time saved in individual actions with business value. The larger question is how work is recombined: whether people gain better context, retain authority and develop the capabilities the organisation will need next.
Human-AI collaboration should increase effective judgement, not merely reduce actions.
READING THE OPERATING MODEL
THE REASONINGThe business conditions behind the view
Task boundaries are more useful than job titles
One role can contain preparation, rule execution, exception handling and professional decisions. Suitability for assistance in one task does not establish a single redesign for the whole role or remove feedback between tasks.
Review can become the new bottleneck
If output increases without clear evidence, quality and responsibility, specialists may spend more time checking it. Higher production does not necessarily reduce total work; detecting and correcting errors also consumes expertise.
Entry-level tasks can be part of the learning pathway
Foundational work helps newcomers develop context. Transferring it all to tools without alternative learning and feedback can trade future professional depth for immediate efficiency.
WHAT THIS MEANS FOR THE BUSINESSConnect the view to resources, ownership and action
01Reserve expertise for consequential situationsRead the choiceCollapse
Improve preparation and repetitive, rule-bound tasks so specialists can focus on uncertainty, exceptions and cross-disciplinary trade-offs.
02Measure the result of the taskRead the choiceCollapse
Assess correct resolution, rework and the evidence available for human judgement, rather than only output volume or usage.
03Build capability development into the jobRead the choiceCollapse
Retain explanation, review and guided practice so teams understand why tools work, when they fail and how their own judgement should develop.
What would make us revise this judgement?
Tasks affecting production control or major operating consequences need dedicated validation and accountability. Necessary professional judgement should not be sacrificed for apparent speed.
A QUESTION FOR THE NEXT BUSINESS DISCUSSION
As tools execute more work, are people becoming better able to decide—or simply busier checking?
Human-AI work and role redesignFull perspective and practical approach
Where will the next management advantage emerge?
As technology, talent and asset conditions change, established divisions of work may lose their value. We watch three signals that can alter management design.
- 01
Decision frequency outruns delegated authority
What we watch
Whether business change, intelligent assistance and field responses repeatedly wait at the same approval level.
How it changes the judgement
If delay becomes the main source of loss, delegate suitable decisions to teams with the information and capability, while defining escalation conditions.
- 02
Processes absorb specialist capacity
What we watch
Whether experts spend growing amounts of time on repeated preparation, information checks and cross-functional chasing.
How it changes the judgement
Persistent repetition favours redesigning tasks and interfaces before choosing what to automate.
- 03
Renewal and capability upgrades coincide
What we watch
Whether overhaul, retirement or capital renewal creates a practical window for observation, connectivity and new operating capabilities.
How it changes the judgement
Where incremental investment avoids future rework, assess equipment renewal and capability development together.
A VIEW THAT CAN BE PUT TO WORK
The ZHICE Value-led Operating MethodExplore the framework and implementationA perspective must stand up in practice.
Progress through five stages: clarify value, design accountability, connect processes, test in operation and improve continuously. Start with the business outcome to improve, then align organisation and decision mechanisms. Use end-to-end processes to test whether responsibilities work together and use operating evidence to establish whether the mechanisms function. Policies, workflows, measures and system requirements are designed together, extending reform beyond organisation charts and documents. Each stage closes with explicit outputs and progression conditions, keeping reform milestones aligned with the quality of actual operation.
Data notes and research foundationsExpandCollapse
- 1Microsoft · Work Trend Index 2026
2026 survey of around 20,000 AI users across 10 markets; self-reported leadership alignment, not an energy-sector adoption rate.
2026 · cross-industry survey in 10 markets - 2IEA · World Energy Employment 2025
Around 60% of energy firms in the IEA 2025 survey reported skills- and labour-related hiring difficulties; the company subsample exceeded 400 firms.
2025 · IEA energy-company survey - 3European Commission · EU Action Plan for Grids, 2023
European Commission context for the 2023 Grid Action Plan: 40% of EU distribution grids were over 40 years old. This does not describe China’s asset-age profile.
European Commission’s 2023 action-plan context · EU
THE NEXT CONVERSATIONThe question worth discussing:
Contact ZHICE