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.
Once platforms are common, how they are used makes the difference.

of respondents report using an internal developer platform3
2024 · Cross-industry software-delivery surveyBuying 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.
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?
THE BUSINESS LOGIC OF TECHNOLOGY
Platforms have users and costs of use. Requiring teams to understand complex internal structures for simple tasks transfers technical complexity to the consumer.
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.
A team accountable only for a construction backlog may miss business waiting. Failures, workarounds and manual support in actual use reveal capability gaps.
Solve repeated problems in identity, environments, observation and delivery. Reduce unnecessary choices while retaining a clear path for legitimate exceptions.
Agree maintenance, response, escalation and version migration. Platform reliability should become a commitment that can be negotiated and sustained.
Observe delivery, recovery and user experience together. Fewer operating steps are valuable only when they do not add hidden approval or failure burdens.
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?
As platforms spread, more technology is consumed as shared services. We believe cost management must evolve accordingly: contracts no longer determine the budget alone. Calls, configurations and service commitments shape ongoing spend. Understanding the bill must be followed by understanding who can change it.
THE BUSINESS LOGIC OF TECHNOLOGY
Resource prices may fall while calls multiply. Retries, duplicated data and idle environments change the cost structure. Procurement discounts alone may not explain spending.
One resource can support several businesses. Without understandable allocation and cost drivers, teams cannot distinguish useful consumption from inherited practice.
Redundancy, recovery and field support for critical energy activities are not arbitrary extras. Compare equivalent service conditions rather than creating savings by transferring operational risk.
Relate spending to useful device connections, completed tasks or transaction services. Move the discussion beyond totals while retaining quality conditions.
Platform teams manage shared efficiency, business teams specify service needs and finance maintains comparable definitions. Consumers should see the cost consequences of choices.
Adjust capacity and services as demand, performance and costs change. A one-time acceptance decision cannot substitute for ongoing operating judgement.
A falling unit cost does not establish rising value. Changes in volume, quality and risk exposure require the comparison to be interpreted again.
Which costs grow with useful business activity, and which persist because nobody has changed old consumption patterns?
We watch where the constraint moves after a new capability enters the business. Better technical indicators are a starting point; sustained advantage depends on changes in resources, accountability and coordination.
Track movable workloads, edge connectivity and whether compute and power conditions are considered together.
If inference becomes easier to distribute, identity, versioning and operating consistency become more important. Weak field connectivity keeps autonomy and recovery at the front of the agenda.
Watch whether business teams rely on shared data for real decisions and whether quality exceptions have an accountable owner.
Growing reuse with less coordination supports expansion. Repeated interpretation at every use points to unresolved semantics and responsibility.
Track time from need to use, recovery after failed changes and business waiting caused by platform upgrades.
Shared capability merits further investment when it reduces waiting. Dependencies amplified by centralisation require a fresh boundary between sharing and autonomy.
Five stages—value definition, capability design, connected data, phased delivery and value management—bring planning, delivery and operations onto one roadmap. Business and technology teams make decisions together. The approach draws on MIT CISR research on digital business transformation, DORA findings on organizational and technical collaboration, and public specifications for data interoperability and OT security. ZHICE translates these perspectives into work designs for energy businesses; the business’s actual constraints determine implementation priorities.
Central projection for all global data centres, not AI alone or a capacity plan for an individual enterprise.
IEA 2026 · Global data centres · 2030 projectionSelf-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 globallyThe study uses a broad platform definition; associations with productivity, throughput and stability are mixed.
DORA 2024 · Cross-industry software-delivery survey