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.
Process intelligence and operating improvement.
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.
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.
THE ARGUMENT BEHIND THE VIEW
A judgement needs a complete argument.
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.
IMPLICATIONS FOR LEADERS
What should leaders reconsider?
Define the boundary through the business result
Use completed trades, restored equipment or resolved customer problems to define process scope. Departmental boundaries should not determine when improvement is declared complete.
Remove low-value demands on expertise first
Repeated confirmation, missing information and unclear responsibilities favour better rules, data and interfaces before automation is considered.
Preserve judgement for consequential exceptions
Standardisation should not remove every difference. High-risk, infrequent and complex cases require explicit expert-intervention conditions and sufficient context.
WHEN TO RECONSIDER
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.
Are we shortening system handling time, or the time until a business result is actually achieved?
FROM PERSPECTIVE TO PRACTICEPut this perspective to work.
ExpandCollapse
Put this perspective to work.
Procurement, maintenance and settlement tasks often span systems and departments. Standard procedures may not explain why work waits, repeats or takes a different route. Process intelligence connects event evidence with operational explanation.
Build a trustworthy event chain
Define business objects, events, timestamps and linking rules. Check log coverage, gaps and migration effects so missing data are not mistaken for process failures.
Explain variation and causes
Compare paths across work types and units. Use interviews to explain waiting, rework and exceptions, separating necessary controls from avoidable duplication.
Validate improvements
Translate actions into rule, role and system changes. Establish comparable baselines and trial boundaries while monitoring quality and risk alongside speed.
Work products
Event-data and quality assessment
Process-variant and bottleneck analysis
Improvement plan and evaluation
What to measure
- End-to-end lead time
- Report both typical and long-tail duration, separating waiting, processing and rework.
- First-time-right rate
- Measure the share completed without resubmission or rework against business acceptance criteria.
Event logs do not automatically establish causality; data use must respect permissions and privacy requirements.
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
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