For life sciences organisations, implementing a new Global Labelling Management (GLM) solution is a significant programme of change. A new platform may offer greater control, improved compliance, better visibility and more efficient labelling operations, but achieving those benefits depends on much more than the technology itself.
In practice, GLM implementations bring together labelling, regulatory, quality, artwork, packaging, information technology and operational teams, alongside the processes and data that connect them. Where those processes have become fragmented, information sits across multiple systems or different parts of the organisation work in different ways, implementation can quickly become more expensive, take longer and introduce additional risk.
Cost, time and risk are also closely connected. Too many process variations increase configuration and testing effort. Poorly controlled data creates delays and uncertainty. Limited user involvement can result in operational issues being discovered too late or new workarounds appearing after go-live.
A stronger GLM implementation starts by addressing these issues before they become embedded in the new solution. Standardising the operating model, improving the way information flows through the organisation and involving the people who will use the system can reduce unnecessary implementation effort while creating a more controlled and scalable labelling environment.
Why GLM implementation needs more than technology
A GLM platform provides structure, workflow and system control, but it still has to operate within the wider organisation. If the current labelling environment depends on inconsistent processes, local knowledge, disconnected data sources or manual workarounds, those weaknesses do not disappear because a new system has been introduced.
One of the risks is configuring the new platform around everything that exists today without first deciding what should carry forward. Existing workflows may have developed around the limitations of legacy technology. Approval processes may contain additional steps introduced over time. Templates may have multiplied to support local practices, while spreadsheets and email may have become accepted ways of managing gaps between systems or functions.
Replicating all of this can make the new environment feel familiar, but it can also recreate the same complexity in a different platform. Every additional workflow, template variation, exception and custom requirement needs to be designed, configured, tested, validated, documented, trained and supported.
The implementation is therefore an opportunity to challenge the current operating model. The objective should not simply be to reproduce what exists, but to understand what the future labelling environment genuinely needs in order to remain controlled, compliant and workable in day-to-day operations.
1.Remove cost: standardise before you digitise
One of the most effective ways to control the cost of a GLM implementation is to standardise processes before detailed configuration begins.
Global labelling environments naturally become more complicated over time. Individual markets may develop different approval routes, sites can introduce their own process steps and template libraries grow as new products, languages, markets and operational requirements are added. Some of this variation is necessary, but some remains simply because it has never been reviewed.
If every existing variation becomes a requirement in the new GLM solution, the cost is not limited to the initial configuration. More workflows create more scenarios to test and validate. Additional templates increase build and maintenance effort. Custom rules require documentation and support. Training also becomes more complex when different teams follow multiple versions of what is essentially the same process.
A stronger approach is to review and simplify the operating model before building it into the system. Workflows can be rationalised, unnecessary approval steps removed and template libraries reviewed to identify where variations can be consolidated. The organisation can then determine where a consistent global process is appropriate and where controlled flexibility is genuinely required.
This does not mean removing legitimate regulatory or operational differences. It means distinguishing genuine requirements from complexity inherited from the existing environment.
The impact can be significant. Fewer process variants mean less configuration. Less configuration means fewer test scenarios, less validation effort and simpler training and support. For information technology teams, the future application is easier to maintain. For labelling, regulatory and quality teams, processes and ownership become clearer. For programme sponsors and procurement, there is greater control over both implementation scope and long-term cost.
Standardising before digitising therefore reduces more than the cost of the initial build. It helps prevent unnecessary complexity becoming a permanent feature of the future GLM environment.
2. Remove time: control how data moves through the organisation
GLM implementations often focus heavily on workflows, system configuration and user interfaces, but one of the most common sources of delay sits underneath them: the movement and ownership of information.
Labelling depends on data and decisions from across the organisation. Product information, approved regulatory content, quality data, artwork information, market requirements, language requirements and change information may all influence the content of a label and the process required to approve it.
When those inputs are inconsistent, incomplete or difficult to trace, the project team has to resolve the issue before the system can use the information effectively. This is where valuable implementation time can be lost.
Teams may need to determine which record is current, reconcile conflicting information held in different systems or find the individual who understands why a particular decision was made. If these issues are discovered once configuration or testing is already underway, they can create rework as well as delay.
A GLM implementation should therefore establish clear data ownership and authoritative sources early in the programme.
Where the solution needs information from Regulatory Information Management (RIM), a Quality Management System (QMS), Enterprise Resource Planning (ERP), artwork systems or other enterprise platforms, those dependencies should be understood before detailed design progresses too far. The programme needs clarity around where information originates, how it reaches GLM, who owns it and how changes will be controlled.
The same principle applies to information that continues to move through spreadsheets, shared drives, email or manual trackers. Not every data flow needs to become an automated integration, but critical information should have a defined owner and a controlled route through the process.
Clear data lineage is particularly important in a highly regulated environment. Teams need confidence in where information came from, how it was approved and which system or function is responsible for maintaining it.
Addressing this work early reduces the amount of investigation and reconciliation required later. It also creates a stronger GLM environment after go-live because the organisation is not relying on the new platform to compensate for unresolved weaknesses in the data around it.
3. Remove risk: involve the user community before go-live
A GLM implementation can be technically successful and still struggle once it reaches day-to-day operations.
Introducing a new GLM solution changes more than the system people use. It can change responsibilities, approval routes, data ownership and the way different functions and markets work together. Teams may need to move away from long-established local processes or adopt a more standardised approach to activities that were previously managed differently.
If users first encounter those changes through training shortly before go-live, the programme may discover important operational issues too late.
The people working within labelling processes every day understand practical requirements that may not be obvious from a system design or process map. They know where exceptions occur, where information can be difficult to obtain, where deadlines create pressure and which activities depend on other teams or systems.
Representative users should therefore be involved while workflows and operating models are being developed. This gives the programme an opportunity to test whether the proposed process works in real operational conditions and to understand where controlled exceptions may genuinely be required.
It also helps teams understand why the change is being made. Moving towards greater standardisation can create concern if people believe important local requirements are being removed or responsibilities are changing without sufficient consideration. Early involvement gives those concerns a route into the programme while there is still time to address them.
Testing should reflect real-world scenarios rather than only ideal process flows. User groups or champions can also provide practical feedback, support wider adoption and help reinforce the new way of working across functions and locations.
This matters because poor adoption can quickly undermine system control. If users begin managing parts of the process outside GLM because the agreed approach does not work in practice, spreadsheets, email approvals and informal workarounds can reappear. Traceability becomes weaker and the organisation starts rebuilding the fragmented environment it was trying to replace.
User engagement is therefore not simply a change management activity at the end of the programme. It is part of reducing operational and compliance risk throughout the implementation.
What successful GLM implementations do differently
Organisations that manage GLM implementation well use the programme as an opportunity to improve the wider labelling operating model rather than simply replace one technology platform with another.
Practical steps include:
- Review existing workflows before detailed system configuration begins.
- Identify where process and template variations can be standardised or removed.
- Challenge custom requirements and confirm that they are genuinely necessary.
- Define authoritative data sources, ownership and governance early.
- Map dependencies between GLM and other enterprise systems.
- Involve labelling, regulatory, quality, operational and technology teams in the design.
- Test processes against real operational scenarios and exceptions.
- Plan for user support, governance and optimisation beyond go-live.
These steps help reduce configuration, rework and unnecessary validation effort during implementation. They also reduce the likelihood of reaching go-live with a platform that works technically but does not yet work effectively within the organisation.
Cost, time and risk should not be managed as separate workstreams. A decision that adds process complexity can increase build cost, extend testing and make adoption more difficult. Poor data governance can slow the project while also weakening future control. Limited user engagement may appear to save time during design, only for the same issues to return later through rework, resistance or operational workarounds.
Understanding those connections allows programme teams to make better decisions throughout the implementation and maintain stronger control over scope.
A controlled GLM implementation creates long-term confidence
A successful Global Labelling Management implementation should do more than deliver a new system on time. It should leave the organisation with clearer ownership, stronger data control, more consistent processes and a labelling environment that can continue to perform as products, markets and regulatory requirements change.
When implementation is poorly structured, the effects can continue long after go-live. Teams may face increased manual work, difficult change management, inconsistent processes and higher support requirements, while confidence in the new system begins to fall.
Removing cost, time and risk therefore starts with the foundations around the technology. Processes need to be simplified before they are digitised. Information needs clear ownership and controlled routes through the organisation. Users need to be involved early enough to ensure that the future operating model works in practice.
ScotMed Solutions supports life sciences organisations with Global Labelling Management programme design, implementation, migration, optimisation and ongoing operational support. By bringing practical GLM expertise into the programme, ScotMed helps organisations strengthen these foundations, maintain control of scope and build labelling environments that remain controlled, compliant and effective beyond go-live.