Shared capability must be run as a product
Platforms have users and costs of use. Requiring teams to understand complex internal structures for simple tasks transfers technical complexity to the consumer.
Product operating models and platform engineering.
A successful platform removes one more wait from business work.
Broad platform adoption does not establish business results. We believe the next contest in platform engineering is the design of interactions between teams: can shared capability be used independently, can legitimate exceptions be handled, and do teams still queue repeatedly for the same work?
A SIGNAL WORTH EXAMINING89%
of respondents report using an internal developer platform3
2024 · Cross-industry software-delivery surveyTHE ZHICE INTERPRETATION
Once platforms are common, how they are used makes the difference.
Buying or building a platform is not sufficient evidence of digital maturity. We see its value in reducing repeated work on common problems while preserving meaningful business differences. When standards become another approval queue and shared capabilities have no service owner, centralisation can slow change. The next question is how the platform changes delivery behaviour.
THE ARGUMENT BEHIND THE VIEW
A judgement needs a complete argument.
A successful platform removes one more wait from business work.
THE BUSINESS LOGIC OF TECHNOLOGY
THE REASONINGThe business conditions behind the view
Standards and autonomy must coexist
Production control, customer service and analytical research have different constraints. Shared foundations can be consistent while delivery paths reflect different risks and rates of change.
Feedback determines whether the platform stays relevant
A team accountable only for a construction backlog may miss business waiting. Failures, workarounds and manual support in actual use reveal capability gaps.
IMPLICATIONS FOR LEADERS
What should leaders reconsider?
Define capability through recurring tasks
Solve repeated problems in identity, environments, observation and delivery. Reduce unnecessary choices while retaining a clear path for legitimate exceptions.
Assign explicit service ownership
Agree maintenance, response, escalation and version migration. Platform reliability should become a commitment that can be negotiated and sustained.
Include waiting in the value discussion
Observe delivery, recovery and user experience together. Fewer operating steps are valuable only when they do not add hidden approval or failure burdens.
WHEN TO RECONSIDER
With highly dispersed requirements and modest scale, a comprehensive in-house platform may not pay. Mature external services or limited sharing can be more appropriate.
Do business teams use the platform because it helps them work, or because they have no alternative?
FROM PERSPECTIVE TO PRACTICEPut this perspective to work.
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Put this perspective to work.
Project delivery can leave systems without enduring ownership. Shared platforms can also slow teams if they merely add request queues. Energy businesses need lasting product accountability, clear platform-service boundaries and dependable change practices for field operations.
Establish product accountability
Define products around journeys such as trading and asset maintenance; establish value owners, funding, users and operational accountability, with explicit cross-product interfaces.
Build usable standard paths
Select shared identity, release and monitoring services from frequent engineering tasks. Design self-service paths and exceptions, then test whether real teams experience less waiting.
Connect delivery and reliability
Review lead time, recovery and user feedback together. Align release windows and rollback with field risk instead of optimising deployment frequency alone.
Work products
Product and platform ownership map
Service catalogue, self-service paths and exception rules
Delivery, reliability and product-outcome review model
What to measure
- Team waiting time
- Track waits and rework for cross-team dependencies such as access, environments and releases.
- Useful adoption and stability
- Review repeated use, service-objective attainment and change failures together, rather than treating registrations as value.
Platform standardisation should evolve with team maturity. Field-production changes should not inherit consumer-internet release cadences by default.
Data notes and research foundationsExpandCollapse
- 1IEA · Key Questions on Energy and AI, 2026
Central projection for all global data centres, not AI alone or a capacity plan for an individual enterprise.
IEA 2026 · Global data centres · 2030 projection - 2IBM Institute for Business Value · 2025 CDO Study
Self-reported confidence across 27 geographies and 19 industries; not an energy-sector adoption rate or observed project success rate.
IBM 2025 · 1,700 senior data and analytics leaders globally - 3DORA · 2024 Report Infographic
The study uses a broad platform definition; associations with productivity, throughput and stability are mixed.
DORA 2024 · Cross-industry software-delivery survey
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