Article
The platformization of the enterprise
How modular platforms, APIs and modernized applications can reduce structural complexity while accelerating digital products and AI adoption.
Organize digital capabilities around how products, technology and business outcomes actually need to come together
We connect digital capabilities, accountabilities and delivery responsibilities to define how business and technology should operate together.
Digital execution becomes difficult when organizational boundaries separate the capabilities required to produce one outcome. Business teams may own priorities, technology teams own delivery and specialist digital capabilities sit elsewhere, creating handoffs and contested accountability. Centralizing everything can weaken proximity to business needs, while fully distributed models duplicate scarce expertise and technology. A digital operating model makes these trade-offs explicit, determining where capabilities should reside, how product and technology responsibilities interact and which mechanisms allow distributed teams to operate with enterprise coherence.
Focus
A digital operating model defines how digital work gets done at scale
It connects product ownership, technology, governance, talent and funding across business and delivery teams.
Read nowStrategic Challenges
Can digital teams move quickly without fragmenting the enterprise?
The challenge is balancing autonomy with shared standards, integration needs and clear accountability across functions.
Read nowStrategic Impacts
A coherent operating model improves how digital teams coordinate and deliver
Clear roles, funding mechanisms and interfaces reduce duplication while preserving speed where local autonomy matters.
Read nowObserved Patterns
Digital models often copy agile structures without changing real authority
New team labels achieve little when funding, decision rights and functional control remain anchored in the old model.
Read nowStrategic Challenges
Can digital teams move quickly without fragmenting the enterprise?
The challenge is balancing autonomy with shared standards, integration needs and clear accountability across functions.
Read nowStrategic Impacts
A coherent operating model improves how digital teams coordinate and deliver
Clear roles, funding mechanisms and interfaces reduce duplication while preserving speed where local autonomy matters.
Read nowObserved Patterns
Digital models often copy agile structures without changing real authority
New team labels achieve little when funding, decision rights and functional control remain anchored in the old model.
Read nowPOV
Agile ceremonies do not create a digital operating model
The model only changes when authority, accountability, funding and work design change with the new delivery structure.
Read nowOur approach
Design digital organization around the capabilities and accountabilities required to deliver outcomes end to end
Our approach begins by identifying the digital outcomes, products and capabilities the enterprise needs before mapping how responsibilities currently span business, technology and specialist teams. We examine where centralization creates scale, where proximity improves decisions and where fragmented ownership produces handoffs or duplication. Target capability placement, product accountabilities, governance and delivery interfaces are then designed as connected choices. We test the model against real workflows and decisions before defining the organizational, talent and management changes required to make the target model work in practice.
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.
Operating structure
Defines roles, responsibilities, governance, funding, and delivery interfaces across business, technology, product, data, and digital teams
Delivery integration
Connects strategy, product, engineering, operations, and enabling functions through clear workflows, ownership, and shared management routines
Capability alignment
Organizes talent, processes, technology, and decision rights around the digital capabilities the enterprise needs to operate and evolve
Is your operating model enabling digital execution, or forcing new capabilities through old structures?
Get in touch with our Digital operating model team to examine roles, governance, workflows and cross-functional digital execution.
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. Define mandate
Clarify how digital capabilities contribute to strategy, operations, customer outcomes, and enterprise priorities
06. Measure performance
Track delivery effectiveness, decision speed, resource use, capability maturity, and cross-functional friction
05. Build capacity
Align talent, sourcing, tooling, funding, and management routines with the target digital operating model
02. Assess delivery
Evaluate structures, roles, skills, processes, technology, governance, sourcing, and business interfaces
03. Design model
Configure teams, accountabilities, delivery structures, capabilities, governance, and collaboration mechanisms
04. Align interfaces
Define how digital teams interact with business units, technology, data, risk, finance, and external partners
How we help
Clarify how digital capabilities and responsibilities should be distributed across business, technology and product teams
We provide digital operating-model designs spanning organization, capability placement, product ownership, governance and delivery interfaces. The work can include operating-model diagnostics, centralized-versus-federated choices, capability architecture, accountability design, product and technology interfaces and transition roadmaps. Outputs define where digital capabilities should sit, how end-to-end outcomes should be owned, which responsibilities require enterprise coordination and how teams should interact without recreating functional handoffs or duplicating scarce specialist capabilities.
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Digital operating model assessment
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Target digital operating model
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Digital organization design
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Digital capability architecture
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Product operating model
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Platform operating model
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Digital delivery model
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Business-technology collaboration model
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Digital governance design
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Digital role architecture
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Digital workforce strategy
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Digital sourcing strategy
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Digital center of excellence design
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Digital hub-and-spoke model
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Digital service model
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Digital performance framework
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Digital operating rhythm
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Digital operating model transition
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 should clarify roles, capabilities, governance, funding, delivery processes and interfaces across business and technology teams.
When digital work scales, ownership fragments or existing structures create persistent delays, duplication or weak accountability.
The choice should reflect capability scarcity, scale benefits, product ownership and the need for proximity to customers and operations.
Through shared outcomes, clear decision rights and coordinated planning rather than sequential handoffs between business and technical functions.
Ambiguous ownership, competing priorities, fragmented funding and inconsistent delivery practices often create recurring execution problems.
Funding should reflect the nature of the work, distinguishing enduring products and platforms from finite projects and transformation initiatives.
Track delivery speed, decision quality, accountability, duplication, capability utilization and performance at key organizational interfaces.
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Editorial overview
Articles
The platformization of the enterprise
How modular platforms, APIs and modernized applications can reduce structural complexity while accelerating digital products and AI adoption.
Read articleDigital transformation after the transformation era
Why the next digital agenda is less about isolated programs and more about architecture, platforms, governance and measurable enterprise value.
Read articleFocus
IoT adoption depends on what connected assets allow the business to know or do
The value of connectivity comes from the decisions, services and operating responses enabled by continuous data from physical environments.
Data strategy starts with the decisions information must improve
The value of data depends on how clearly it supports decisions, accountability and the operating needs of the enterprise.
Strategic challenges
Where does commerce complexity begin to undermine conversion and operations?
The challenge is coordinating product, payment, inventory and fulfilment logic without creating brittle customer journeys.
Which human tasks genuinely benefit from advanced augmentation?
The challenge is separating meaningful improvements in capability from interfaces that add novelty, friction or unnecessary cognitive load.