Capability map

Capability 02 · Operating model

Digital Operating Model

Technology implements the operating model. It does not define it.

I design how commercial work is owned, governed, measured and supported by systems—so transformation changes the way the organization operates, not only the tools it uses.

Outcome → value stream → process → ownership → systems → data → automation → governance → measurementNine layers, from the outcome to how it is measured. Read them top-down, as a design—or bottom-up, the way a platform-first project decides them by accident.

Read the operating model
  1. 01Business outcomeWhat must happen?
  2. 02Value streamHow is value produced end to end?
  3. 03ProcessWhat states and decisions exist?
  4. 04OwnershipWho is accountable?
  5. 05SystemsWhere is work executed?
  6. 06DataWhat information is authoritative?
  7. 07AutomationWhat runs automatically?
  8. 08GovernanceWho may change the design?
  9. 09MeasurementHow do we know it works?
Each layer answers its own question, in order. Systems come fifth: they implement decisions already made above them.
01What a digital operating model meansAbove process and systems

Not “implement a new platform”. The redesign of how the organization operates.

The operating model sits between strategy and technology: who owns the outcome, who decides, where work crosses boundaries, how systems support it, how local variation is governed and how performance is measured.

It is not
  • A technology roadmap
  • An org chart
  • A process map
  • A governance committee
  • A CRM implementation plan
  • A collection of KPIs
Each is a part. The operating model is how the parts fit—and who decides when they don’t.
It is
  1. OutcomeWhat the organization must achieve, in observable terms.
  2. Value streamThe end-to-end flow that produces it, across departments.
  3. ProcessThe states, decisions and exception paths the stream needs.
  4. OwnershipOne accountable owner per stage, decision, system, data set and KPI.
  5. DecisionsWho decides, approves, recommends, is consulted—per decision.
  6. SystemsWhere each part of the work is executed and recorded.
  7. DataWhich information is authoritative, and who may change it.
  8. AutomationWhat runs by rule, and what stays a human decision.
  9. GovernanceHow variation, exceptions and change are decided.
  10. MeasurementKPIs with a definition owner, a business owner and an action.
Four principles, applied below
  1. 01A system should not make an organizational decision by accident.

    If the design does not decide it, the configuration will.

    Operating-model layers
  2. 02Shared ownership often means no ownership at the exception.

    Every kind of “owner” is named separately.

    Ownership
  3. 03Local variation needs an owner, a reason and a review date.

    Otherwise every exception becomes permanent architecture.

    Global vs local
  4. 04Governance without decision rights is just a meeting.

    Who decides what, using which evidence, within what time.

    Governance
02My operating-model approachTen steps · platform choices come later

From outcome to measurement.

Ten moves from what the organization must achieve to how it knows it is working. Platform choices come after the sixth; skipping a step usually means a system quietly makes that decision instead.

01Define the outcome

Step 01 · The question

What are we trying to achieve?

An outcome someone can observe—not “go live”.

Define
  • Business outcome
  • Customer outcome
  • Operational outcome
  • Constraints that cannot be traded away
ProducesOutcome & constraint statement

Second-orderCompeting outcomes—speed versus control—must be ranked explicitly

  1. Define the outcome
    Step 01 · The question

    What are we trying to achieve?

    An outcome someone can observe—not “go live”.

    Define
    • Business outcome
    • Customer outcome
    • Operational outcome
    • Constraints that cannot be traded away
    ProducesOutcome & constraint statement

    Second-orderCompeting outcomes—speed versus control—must be ranked explicitly

  2. Identify the value stream
    Step 02 · The question

    Which end-to-end flow creates that outcome?

    Value moves across functions; organizations are drawn by function.

    Define
    • Start event
    • End event
    • Customer and business outcome
    • Major stages
    • Organizational boundaries
    ProducesValue stream map

    Second-orderThe waiting time between departments belongs to nobody until it is named

  3. Design the process
    Step 03 · The question

    Which states and decisions make the value stream work?

    States with exit criteria, not department task lists.

    Define
    • Stages
    • Transitions
    • Decision points
    • Exception paths
    ProducesProcess architecture

    Second-orderEvery rejection needs a defined destination state

  4. Assign ownership
    Step 04 · The question

    Who is accountable for each stage and outcome?

    “Owner” is not one concept.

    Define
    • Accountable owner
    • Responsible role
    • Escalation
    • Handoff
    ProducesOwnership model

    Second-orderShared ownership often means no ownership at the exception

  5. Define decision rights
    Step 05 · The question

    Who can decide what?

    Exactly one role decides; approval is a separate right.

    For each decision
    • Decide
    • Approve
    • Recommend
    • Consult
    • Inform
    ProducesDecision-rights matrix

    Second-orderGovernance without decision rights is just a meeting

  6. Map systems
    Step 06 · The question

    Which platforms support each part?

    Systems implement decisions; they should not make them.

    Define
    • System of action
    • System of record
    • Capability ownership
    • System boundaries
    ProducesProcess-to-system map

    Second-orderA system should not make an organizational decision by accident

  7. Map data ownership
    Step 07 · The question

    Who owns the information required to operate and decide?

    Authority per concept—sometimes per attribute.

    Define
    • Source
    • Authority
    • Stewardship
    • Derived data
    • Lineage
    ProducesData ownership model

    Second-orderData quality is owned by whoever can fix it at the source

  8. Define the automation boundary
    Step 08 · The question

    What should run automatically and what should remain human?

    Automate rules; keep judgement visible.

    Classify each step
    • Automated by rule
    • Assisted—a person confirms
    • Human decision, with the reason recorded
    ProducesAutomation boundary

    Second-orderAutomating an undefined decision hides the policy gap

  9. Design governance
    Step 09 · The question

    How are exceptions, local variation and changes controlled?

    Who decides what, using which evidence, within what time.

    Define
    • Variation owner
    • Exception owner
    • Change authority
    • Review cadence
    ProducesGovernance model

    Second-orderLocal variation needs an owner, a reason and a review date

  10. Define measurement
    Step 10 · The question

    How do we know the operating model works?

    Measurement is part of the operating model.

    Define
    • Process KPIs
    • Outcome KPIs
    • Owner
    • Cadence
    • Action
    ProducesKPI ownership model

    Second-orderA KPI without an owner and an action is reporting noise

03Typical problemsSymptoms, and what is usually missing

The symptoms arrive as “the system doesn’t fit how we work”.

Usually the system fits a decision nobody made. Underneath, an owner, a decision right or a variation rule was never designed.

  • The global process exists on paper; local teams operate differently.

    Usually missingA global core with declared, governed variation
  • Ownership disappears where work crosses from one department to the next.

    Usually missingA value-stream owner and handoff contracts
  • A technology choice quietly settles a business decision nobody made.

    Usually missingDecision rights defined before configuration
  • Several teams believe they own the same customer state.

    Usually missingSeparate process, system, data and KPI ownership
  • Local exceptions become permanent architecture.

    Usually missingA variation register with owners and review dates
  • Governance forums discuss issues but cannot decide.

    Usually missingDecision rights, evidence and a time limit per domain
  • KPIs exist, but nobody owns their definition or the action.

    Usually missingA KPI ownership chain
  • The transformation project ends at go-live; the operating model never changes again.

    Usually missingChange control and an operating-model review cadence
04What I designTangible artefacts

Artefacts that let an organization run what it builds.

Each one answers a question a platform rollout plan never asks.

DirectionWhat the organization is for
  • Outcome & constraint modelWhat must be achieved—and what cannot be traded away?
  • Value stream mapWhich end-to-end flow creates the outcome?
  • Operating-model blueprintAll nine layers, designed together
  • Operating-model roadmapWhich layer changes when—and in which order?
AccountabilityWho owns and who decides
  • Process ownership modelWho owns each stage and the end-to-end outcome?
  • Decision-rights matrixWho decides, approves, recommends, is consulted?
  • Organizational handoff modelWhat “done” means before work changes hands
  • Process-to-system mapWhere each stage is executed and recorded
  • Process-to-data mapWhich data each decision needs, and who owns it
ControlHow the model is run and changed
  • Global / local variation registerReason, owner, scope, cost and review date per variation
  • Exception governanceOwner, route, time limit and learning per exception type
  • Management cadenceWhich forum decides what, from which evidence?
  • KPI ownership modelDefinition owner, business owner, computation, action
  • Change-control modelWho may change a stage, a rule, a KPI or a boundary?
  • Governance modelDomains, decision owners, evidence and time limits
05Operating-model layersNine layers, one design

A system should not make an organizational decision by accident.

Nine layers, each with one question, one typical failure and one artefact. Select a layer.

Layer 04 of 9

Ownership

Key question
Who owns each stage, decision, system, data set and KPI?
Typical failure
“The business owns it”—until an exception needs a name.
Artifact
Ownership & decision-rights model
06Value stream vs functionWhere operating models fail

Organizations are structured by function. Value moves across them.

The same five functions and six stages, read two ways. In the value-stream view, select a gap to see what falls between departments.

Value moves across departments. The gaps where work changes hands are where operating models fail.

Functions and value-stream stages: who leads and who supports each stage
FunctionLeadOpportunityCustomerOrderInvoicePerformance
MarketingLeadsSupportsSupports
SalesSupportsLeadsSupportsLeadsSupports
FinanceSupportsLeadsSupportsLeadsSupports
IT / PlatformSupportsSupportsSupportsSupportsSupportsSupports
DataSupportsSupportsLeads
Gap · Sales → Finance

A won deal waits for customer creation; sales counts it as won, finance has not seen it.

Operating-model fixA shared state with an owner of the transition, not two owners of two steps

07OwnershipSix kinds of owner

Shared ownership often means no ownership at the exception.

“Owner” is not one universal concept. For the same piece of work, the process, stage, decision, system, data and KPI owners are often different functions—and each needs a name.

One piece of work, six kinds of owner
The workCustomer creation
  • Process ownerCommercial operations

    Owns The end-to-end flow from won deal to active customer

    Not The credit decision

  • Stage ownerInside sales

    Owns A complete, correct creation request

    Not The legal record

  • Decision ownerFinance

    Owns Credit and legal validation

    Not The commercial relationship

  • System ownerCommercial systems (CRM) · Finance systems (ERP)

    Owns Each platform’s configuration and releases

    Not The business rules they run

  • Data ownerMaster data

    Owns Legal name, tax ID and billing identity

    Not Commercial attributes

  • KPI ownerOperations

    Owns Creation lead time and rejection rate—and acting on them

    Not The definition of a customer

08Decision rightsDecisions, not a RACI poster

Exactly one role decides. Everyone else has a named right.

Seven decisions across seven roles. Select a decision to see who decides, approves, recommends, is consulted and informed—and with which evidence, within what time.

Decisions and the right each role holds over them
DecisionCommercialFinanceOperationsIT / PlatformDataLocal subsidiaryGlobal governance
RecommendsDecidesConsultedConsultedInformed
RecommendsDecidesInformed
RecommendsConsultedConsultedConsultedConsultedDecides
RecommendsConsultedDecidesApproves
InformedConsultedConsultedRecommendsDecides
ConsultedApprovesDecidesConsulted
RecommendsApprovesInformedInformedDecides
Selected decision

Approve a local variation

Decides
Global governance
Recommends
Local subsidiary
Consulted
Operations, IT / Platform
Informed
Finance
Evidence required
Reason, owner, scope, cost, review date
Decided within
4 weeks
09Global vs localCore · configuration · extension

Local variation needs an owner, a reason and a review date.

A global core that does not vary, variation at declared points, and local extensions only for genuine legal or operational constraints—each recorded with its reason, owner, scope, cost and review date.

  1. Global coreThe same everywhere. Not negotiable locally.
    • Shared lifecycle and stage semantics
    • Common definitions of customer, order, won
    • Standard KPIs and their calculations
    • Mandatory governance and controls
  2. Configurable variationDifferent values at declared points.
    • Approval thresholds per legal entity
    • Assignment and territory rules
    • Who holds which role
    • Local validation steps
  3. Local extensionOnly for a genuine legal or operational constraint.
    • A country-specific legal field
    • An additional document check
    • A local ERP order type behind the integration

Every variation recordsReasonOwnerScopeCostReview date

Variation register, synthetic examples
VariationTierReasonOwnerScopeCostReview
Higher discount thresholdConfigurableMarket price levelSubsidiary sales directorOne legal entityConfiguration onlyAnnual
Tax ID validation stepLocal extensionLegal requirementLocal financeOne countryOne extension, tested per releaseWhen the law changes
Own stage namesRejectedPreference——Breaks comparability—

“Can we do it differently here?”

Five checks decide between a global change, a configurable variation, a local extension—or a recorded rejection.

A local team asks
  1. Legal requirement?No
  2. Customer or market requirement?Yes
  3. ERP or system constraint?No
  4. Operating-model difference?No
  5. Preference?No
OutcomeConfigurable variation

A real market difference at a point the core already declares. Set the value; register it with an owner and a review date.

10Governance & exceptionsAn execution model, not a committee

Governance without decision rights is just a meeting.

Governance answers who decides what, using which evidence, within what time—per domain. Exceptions are routed the same way.

  1. 01Issue / request
  2. 02Classify
  3. 03Owner
  4. 04Decision
  5. 05Implement
  6. 06Review

Process

Decision owner
Global process owner
Evidence
Stage ageing, exception volume, local feedback
Within
Quarterly review; urgent fixes in 2 weeks
For example
Add an exit criterion to Qualified

System

Decision owner
Platform owner
Evidence
Release impact, test results, variation affected
Within
Per release
For example
Retire a local automation copy

Data

Decision owner
Data owner per domain
Evidence
Quality metrics, consumers affected
Within
Monthly data forum
For example
Change the definition of an active customer

KPI

Decision owner
Definition owner (with the business owner)
Evidence
Metric contract, historical impact
Within
Monthly forum; effective next period
For example
Change the coverage horizon

Variation

Decision owner
Global governance
Evidence
Reason, owner, scope, cost, review date
Within
4 weeks
For example
Approve a subsidiary threshold

Exception

Decision owner
Owner by exception type
Evidence
Case record and history
Within
By type—hours to days
For example
A one-off policy exception

Exception governance

Five kinds of exception, five owners. An exception should either be resolved or teach the operating model something.

Exception types with owner, route, time limit, resolution and learning loop
ExceptionOwnerRouteWithinResolutionLearning loop
Process exceptionAn order that skipped a required stepProcess ownerCase to the stage owner2 working daysComplete the step or record why notRecurring causes → process change
System failureAn integration message that never arrivedPlatform ownerIncident with business impact notedBy severityRecover and reconcileRoot cause → contract or monitoring change
Data quality issueTwo accounts for one legal entityData ownerSteward queue5 working daysMerge or correct at the sourceSource causes → entry rule change
Policy exceptionA payment term outside policyDecision owner (finance)Approval with reason1 working dayApprove once, with an expiry—or rejectFrequent exceptions → policy review
Local variation requestA subsidiary wants a different stepGlobal governanceVariation register4 weeksGlobal change, configuration, extension or rejectRepeated requests → core change
11Management cadence & KPI ownershipMeasurement is part of the model

A KPI without an owner and an action is reporting noise.

Five rhythms run and change the operating model—from weekly execution to the annual target. Every KPI they use has a definition owner, a business owner, a place it is computed and an action.

Weekly

Execution review

Participants
Team managers
Evidence
Pipeline, overdue actions, open exceptions
Decisions
Unblock work; escalate exceptions past their time limit
Outputs
Actions per item
Monthly

Performance & recovery

Participants
Managers, operations, finance
Evidence
Segments, recovery plans, KPI trends
Decisions
Accept, escalate or close recovery; KPI actions
Outputs
Plan outcomes, escalations
Quarterly

Operating-model review

Participants
Process, system and data owners; global governance
Evidence
Variation register, exception patterns, stage ageing
Decisions
Change the core, renew or retire variations
Outputs
Approved changes, updated register
Per release

Architecture & process change

Participants
Platform owner, process owner, affected subsidiaries
Evidence
Change requests, impact, test results
Decisions
What ships, what waits
Outputs
Release scope, communication
Annual

Target & strategic model

Participants
Leadership, finance, global governance
Evidence
Outcome KPIs, market changes, roadmap
Decisions
Targets, priorities, operating-model roadmap
Outputs
Target version, roadmap

KPI ownership chain

  1. KPIPipeline coverage
  2. Definition ownerRevOps
  3. Business ownerSales management
  4. Computed inData platform
  5. Used inWeekly pipeline review
  6. ActionPipeline generation below the agreed multiple
12Reference casesFictional & composite

Five organizations, one question: who decides?

Synthetic global B2B scenarios. The standardization case is read here through the operating-model lens; four new cases cover the global model, CRM as operating platform, customer ownership and change after go-live.

  1. Case 01Selected workGlobal core, governed variation, owned lifecycle

    Designing a global commercial operating model across subsidiaries

    Subsidiaries run the commercial business their own way; a global platform is about to be rolled out on top of those differences.

    Architecture questionWhich decisions are global, which are local—and who owns the end-to-end lifecycle when it crosses subsidiaries?

    01 Outcome02 Value stream03 Process04 Ownership05 Systems06 Data07 Automation08 Governance09 Measurement
    Global CRMLocal ERPsData platformVariation registerConnects toProcess ArchitectureSystems & CRM Architecture
  2. Case 02Process case · operating-model lensDecision authority over variation

    Standardizing a global commercial process without breaking local operations

    A global process is mandated; subsidiaries comply on paper and work around it in practice.

    Architecture questionWho has the authority to allow—or refuse—a local difference, and how is that decision governed over time?

    01 Outcome02 Value stream03 Process04 Ownership05 Systems06 Data07 Automation08 Governance09 Measurement
    Global CRM templateLocal ERPsVariation registerConnects toProcess ArchitectureChange & Adoption
  3. Case 03Routines, ownership & retirement

    Moving from CRM tool to commercial operating platform

    The CRM is implemented, but managers run the business from spreadsheets and each team reads the stages its own way.

    Architecture questionWhich management routines, decisions and ownerships must move into the CRM before the company actually operates through it?

    01 Outcome02 Value stream03 Process04 Ownership05 Systems06 Data07 Automation08 Governance09 Measurement
    CRMSpreadsheets (retiring)Data platformCollaboration toolsConnects toChange & AdoptionRevenue Operations
  4. Case 04Relationship vs transaction vs data ownership

    Designing customer ownership in a multi-subsidiary organization

    A group customer buys from several subsidiaries; three teams call it “my account” and nobody can resolve the disagreements.

    Architecture questionWho owns the relationship, each transaction and the global account data—and who resolves ownership conflicts?

    01 Outcome02 Value stream03 Process04 Ownership05 Systems06 Data07 Automation08 Governance09 Measurement
    Global CRMLocal ERPsMaster dataData platformConnects toSystems & CRM ArchitectureData & Integrations
  5. Case 05Change authority & versioned evolution

    Governing operating-model change after go-live

    Two years after go-live, changes arrive as tickets to the platform team; nobody decides whether they change the operating model—so the configuration drifts.

    Architecture questionWho may change which part of the operating model, with which evidence, and how is each change released?

    01 Outcome02 Value stream03 Process04 Ownership05 Systems06 Data07 Automation08 Governance09 Measurement
    CRMChange backlogData platformVariation registerConnects toChange & AdoptionSystems & CRM Architecture
13Questions that change the designThe second layer

Every transformation request has a second layer.

The visible request is where the design starts, not where it ends.

Start from a request
Visible requirement
“We need a new CRM for all subsidiaries.”
First layer

Select a platform and roll it out country by country.

That is a technology project. It is not yet an operating-model change.

4 of 6 questions surfaced

Second layer — what the request leaves unsaid
  1. If the answer is “we use the new CRM”, the outcome is still missing.

14Connected capabilitiesAbove process and systems

The operating model decides. Process, systems and data implement it.

Digital Operating Model

  1. Process Architecture

    The operating model decides who owns the value stream; process architecture designs its states, decisions and exceptions.

  2. Systems & CRM Architecture

    Systems are assigned responsibilities by the operating model—not the other way round.

  3. Data & Integrations

    Data ownership and authority follow the ownership model, concept by concept.

  4. Revenue Operations

    The commercial cadence and KPI ownership run the operating model week by week.

  5. Change & Adoption

    People operate through the new model only when roles, routines and incentives change with it.

  6. Automation

    The automation boundary is an operating-model decision: which rules run by themselves, which stay human.

Next capability · 03Change & Adoption

A digital operating model is not a platform, an org chart or a committee. It is the coherent design of

  1. Outcome
  2. Value stream
  3. Process
  4. Ownership
  5. Decisions
  6. Systems
  7. Data
  8. Automation
  9. Governance
  10. Measurement

Design how the organization operates before deciding how the platform should behave.

Technology implements the operating model. It does not define it.

Start with the decisions

A new platform—and nobody has decided who owns what?

  • Who owns your customer lifecycle end to end?
  • Which local differences are legal—and which are habit?
  • Which forum can actually decide?
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