EDGE Transformation Operating Model: How Singapore Businesses Embed New Capabilities Into Daily Operations

Why an Operating Model Matters After Transformation

Many businesses approach transformation as a project with a defined start and end date.

The project may include:

• Selecting a technology platform

• Redesigning internal processes

• Introducing automation

• Implementing artificial intelligence

• Improving management reporting

• Developing new capabilities

• Training employees

• Standardising operations

• Engaging an external consultant or technology provider

These activities are important, but they do not automatically create lasting business improvement.

A project can be delivered successfully and still fail to produce sustainable value if:

• Employees return to old processes.

• No one owns the new capability.

• The new system is not maintained.

• Managers continue using outdated reports.

• Performance targets do not reflect the redesigned workflow.

• New responsibilities are not documented.

• Process exceptions are handled informally.

• The business depends entirely on the external provider.

• Improvement stops once the project closes.

This is why businesses need an operating model.

An operating model defines how the organisation turns strategy into consistent execution. It clarifies who does what, how work moves across departments, which systems support the process, how decisions are made and how performance is monitored.

For an EDGE-related project, the operating model is the bridge between project completion and long-term organisational capability.

What Is a Transformation Operating Model?

A transformation operating model is the practical structure that determines how a new capability is used, managed and improved after implementation.

It normally covers six connected areas:

1. People — roles, responsibilities, skills and decision rights.

1. Processes — workflows, procedures, controls and escalation paths.

1. Technology — systems, tools, integrations and support arrangements.

1. Data — information ownership, quality, access and reporting.

1. Performance — targets, metrics, review routines and accountability.

1. Governance — decisions, approvals, issue management and continuous improvement.

These elements must work together.

For example, introducing a new customer relationship management system will not improve sales performance if:

• Sales staff do not know when or how to update records.

• Managers do not use the information during pipeline reviews.

• Customer data is incomplete.

• There is no owner for data quality.

• Sales targets still reward only short-term transactions.

• The system is not integrated with quotation or fulfilment processes.

The operating model ensures that the technology, people and management routines reinforce one another.

The Difference Between a Project and an Operating Model

A project is temporary. An operating model is ongoing.

Project Structure

Operating Model

Focuses on implementation

Focuses on sustained execution

Has a defined start and end

Continues after project closure

Measures deliverables and milestones

Measures adoption and business performance

Often led by a project team

Owned by operational and management teams

Introduces new systems or processes

Makes those systems and processes part of normal work

Relies on temporary coordination

Establishes permanent responsibilities

Resolves implementation issues

Maintains and improves the new capability

The project may deliver a new process. The operating model determines whether the process becomes the standard way of working.

Why Businesses Often Struggle to Embed Transformation

Transformation becomes difficult to sustain when the project is treated as a technical or administrative exercise rather than an organisational change.

Common causes include:

The project team is separated from operations

A project team may design a new process without sufficiently involving the people who will use it every day.

This can result in workflows that appear logical on paper but are difficult to execute in practice.

Ownership ends when implementation ends

The project may have a project manager, but no permanent owner is assigned to maintain the capability after handover.

Without ownership, issues remain unresolved and standards gradually weaken.

Existing procedures are not updated

Employees may receive training on a new system but continue following old written procedures, approval rules or reporting formats.

This creates confusion and encourages workarounds.

Performance measures remain unchanged

If employees are still evaluated using the old process, they may have little incentive to adopt the new one.

For example, a new quality-control process may require more accurate documentation, while performance targets focus only on production volume.

Management does not use the new information

A reporting platform will not improve decision-making if management continues relying on informal messages, outdated spreadsheets or personal judgement without reviewing the new data.

The provider remains the only source of knowledge

If internal employees cannot maintain, adjust or troubleshoot the new capability, the business may become dependent on external support.

A sustainable operating model must include knowledge transfer and internal capability development.

Designing the People Layer

The people layer defines who is responsible for operating and improving the new capability.

It should answer:

• Who owns the process?

• Who performs the work?

• Who approves exceptions?

• Who maintains the system?

• Who monitors performance?

• Who provides training?

• Who decides when the process should change?

• Who escalates recurring problems?

A practical structure may include the following roles.

Executive sponsor

The executive sponsor ensures that the capability remains aligned with the company’s strategic priorities.

This role may review:

• Business outcomes

• Major risks

• Resource requirements

• Cross-department conflicts

• Significant process changes

• Future investment decisions

Capability owner

The capability owner is accountable for the ongoing performance of the new process, system or organisational capability.

For example, the capability owner may be:

• The head of operations

• The finance manager

• The sales director

• The HR leader

• The head of technology

• A designated transformation manager

The capability owner should not merely maintain the system. The role should include responsibility for whether the capability continues to create business value.

Process owners

Process owners manage specific workflows and ensure that employees follow agreed standards.

Examples include:

• Order-to-cash process owner

• Procure-to-pay process owner

• Customer onboarding process owner

• Production planning process owner

• Inventory management process owner

• Service delivery process owner

System or data owners

System owners manage system configuration, access, support and technical coordination.

Data owners are responsible for the quality, definition, access and appropriate use of important data sets.

Frontline users

Frontline users are responsible for applying the new process correctly and identifying practical issues that management may not see.

Their feedback should be part of the continuous-improvement process.

Designing the Process Layer

A transformation operating model should document how work is expected to flow after implementation.

This includes:

• Process steps

• Inputs and outputs

• Responsible roles

• Approval points

• Required systems

• Data fields

• Service standards

• Exception handling

• Escalation procedures

• Documentation requirements

A process should be clear enough that a trained employee can perform it consistently without relying on informal instructions from one experienced colleague.

Standard process versus exception process

Not every transaction will follow the standard workflow.

For this reason, the operating model should distinguish between:

• Normal process steps

• Approved exceptions

• Emergency procedures

• Escalation thresholds

• Manual fallback arrangements

For example, a digital purchasing workflow may require all purchases above a certain value to receive additional approval. The operating model should specify:

• Who approves the purchase

• What information is required

• How urgent purchases are handled

• How exceptions are documented

• Who reviews repeated exceptions

Without this clarity, employees may bypass the new process whenever a situation becomes inconvenient.

Designing the Technology Layer

Technology should support the operating model rather than become the operating model itself.

The business should define how systems will be used in daily work.

This includes:

• Which system is the official source of information

• Which activities must be completed in the system

• Who has access to which functions

• How system issues are reported

• How changes are approved

• How integrations are monitored

• How user accounts are maintained

• How data is backed up or recovered

• Who provides first-level support

• When external support is required

A new platform should not create uncertainty about where work belongs.

For example, if customer information can be updated in several spreadsheets, email records and software systems, the company may continue to experience inconsistent data even after implementing a new platform.

The operating model should identify the authoritative system and establish rules for how information is created, updated and used.

Designing the Data Layer

Data becomes more valuable when ownership and usage are clearly defined.

A practical data operating model should establish:

• Data definitions

• Data owners

• Data entry responsibilities

• Required fields

• Data-quality checks

• Access permissions

• Retention requirements

• Reporting standards

• Correction procedures

• Review frequency

Businesses should also define which data is used for which decisions.

For example:

• Sales data may support pipeline reviews.

• Production data may support capacity planning.

• Inventory data may support purchasing decisions.

• Financial data may support profitability analysis.

• Customer data may support service and retention strategies.

The goal is to prevent data from becoming a passive storage resource. It should become part of a repeatable management process.

Designing the Performance Layer

An operating model must explain how the business will know whether the new capability is working.

Performance measures should cover more than system usage.

A useful framework includes four levels.

Adoption measures

These show whether employees are using the new capability.

Examples:

• Percentage of transactions completed through the new system

• Percentage of employees completing required training

• Usage of standard workflows

• Number of manual workarounds

• Frequency of incomplete records

Process measures

These show whether the redesigned workflow is operating as intended.

Examples:

• Processing time

• Approval turnaround time

• Error rates

• Rework levels

• Handover delays

• Exception frequency

Business measures

These show whether the project is producing meaningful organisational value.

Examples:

• Productivity improvement

• Reduced operating cost

• Improved customer response time

• Higher fulfilment accuracy

• Increased conversion rate

• Better inventory performance

• Improved management visibility

Capability measures

These show whether the business has become more self-sufficient.

Examples:

• Number of employees able to perform key system functions

• Internal ability to resolve common issues

• Availability of documented procedures

• Frequency of internal improvement initiatives

• Reduction in dependence on external support

The operating model should define who reviews each metric and what action is taken when performance falls below the expected level.

Establishing Management Review Routines

A new capability is more likely to become embedded when management reviews it consistently.

Review routines may include:

Weekly operational reviews

These focus on immediate execution issues such as:

• Process delays

• System problems

• Data-quality issues

• Customer or supplier exceptions

• Workload imbalances

• Unresolved staff questions

Monthly performance reviews

These focus on:

• Key performance indicators

• Adoption trends

• Process efficiency

• Business outcomes

• Resource requirements

• Recurring issues

• Improvement priorities

Quarterly capability reviews

These focus on:

• Whether the capability remains aligned with strategy

• Whether additional training is required

• Whether the system needs enhancement

• Whether the process should be redesigned

• Whether the provider relationship remains appropriate

• Whether the project has created measurable value

Without these review routines, transformation can gradually become disconnected from management priorities.

Embedding Transformation Into Standard Procedures

A new capability should be reflected in the company’s formal operating documents.

These may include:

• Standard operating procedures

• Job descriptions

• Approval matrices

• Delegation-of-authority documents

• Training materials

• Employee onboarding guides

• Quality-control checklists

• System administration procedures

• Escalation protocols

• Business continuity plans

• Performance review templates

Documentation should be practical rather than excessive.

A good procedure should make clear:

• What must be done

• Who must do it

• When it must be done

• Which system or document must be used

• What evidence must be retained

• What happens if the normal process cannot be followed

If the new capability is not reflected in these documents, employees may reasonably continue following older instructions.

Managing the Handover From Provider to Business

External providers may design, configure or implement the transformation solution. However, the business should plan the handover from the beginning.

A proper handover should include:

• System documentation

• Process documentation

• User guides

• Administrator access

• Configuration records

• Data definitions

• Troubleshooting procedures

• Training records

• Outstanding issue lists

• Maintenance responsibilities

• Support contacts

• Escalation procedures

• Future enhancement recommendations

The company should also confirm that internal employees can perform essential tasks without waiting for the provider.

These tasks may include:

• Adding or removing users

• Running standard reports

• Managing routine configuration changes

• Identifying data-quality issues

• Troubleshooting common problems

• Monitoring system usage

• Updating procedures

• Training new employees

The objective is not necessarily to eliminate external support. It is to ensure that the business retains sufficient internal control and understanding.

Building Continuous Improvement Into the Operating Model

Transformation should not be treated as a one-time event.

After implementation, the business will learn more about:

• Actual user behaviour

• Process bottlenecks

• Customer needs

• Data limitations

• System constraints

• Resource requirements

• New market opportunities

• Unintended consequences

The operating model should create a controlled way to respond.

A continuous-improvement process may include:

1. Identify an issue or improvement opportunity.

1. Assess its business impact.

1. Determine the root cause.

1. Propose a change.

1. Evaluate cost, risk and resource requirements.

1. Obtain the appropriate approval.

1. Test the change.

1. Implement it in a controlled manner.

1. Measure the result.

1. Update procedures and training materials.

This prevents employees from making uncontrolled changes that create inconsistency across departments.

What Businesses Often Get Wrong

Treating handover as a single meeting

A presentation from the provider is not the same as a structured transfer of operational capability.

Assigning ownership only to the IT department

Many transformation outcomes depend on business processes, employee behaviour and management decisions. Technology ownership alone is insufficient.

Measuring only whether the system is live

Go-live status does not prove adoption, productivity improvement or business value.

Keeping old and new processes active indefinitely

Parallel processes may be useful during a transition, but they can create duplicate work and conflicting information if not phased out.

Failing to update job responsibilities

Employees need to understand how their roles change after transformation.

Ignoring informal workarounds

Workarounds may reveal legitimate process weaknesses. They should be investigated rather than simply prohibited.

Treating training as a one-time event

New employees, role changes and system updates create ongoing training requirements.

Strategic Insight: The Real Outcome Is Organisational Capability

A transformation project becomes strategically valuable when the business can continue using and improving the new capability without depending on constant external intervention.

This requires more than implementation.

It requires:

• Clear ownership

• Repeatable processes

• Reliable data

• Appropriate technology controls

• Updated responsibilities

• Practical training

• Management review routines

• Measurable performance indicators

• Continuous improvement

• Internal knowledge retention

For EDGE-related projects, this operating discipline is particularly important because the broader objective is enterprise development, capability building and sustainable business improvement.

The strongest businesses do not simply ask, “Has the project been completed?”

They also ask:

• Is the new capability being used consistently?

• Is it improving the way work is performed?

• Can managers make better decisions with it?

• Can employees maintain it?

• Can the business adapt it as requirements change?

• Is the capability producing measurable value?

EDGE Transformation Operating Model Checklist

Before closing a transformation project, management should confirm:

Is there a permanent owner for the new capability?

Are process owners and system owners clearly identified?

Have responsibilities been updated?

Are standard operating procedures complete?

Are exception and escalation procedures documented?

Is the official system of record clearly defined?

Are data definitions and ownership responsibilities established?

Are adoption, process and business-outcome metrics being tracked?

Are management review routines in place?

Has the provider completed a structured handover?

Can internal employees perform essential support tasks?

Have training materials been updated?

Are old workarounds being monitored and addressed?

Is there a controlled continuous-improvement process?

Will the business review the capability after project closure?

Call us now

If your Singapore business is planning an EDGE-supported transformation project, Grant Consulting can help you design the operating model needed to sustain the project’s outcomes.

We can assist with capability ownership, process redesign, governance routines, performance measurement, internal readiness and post-implementation planning.

Call us now to discuss how your business can turn transformation investment into lasting operational capability:

https://www.grant-consulting.org/contact