Closing The MES Value Gap: Why Technology Isn't The Problem

By Ciera Clayton, BioPhorum

What does MES look like today? In recent years, manufacturers have made significant progress in expanding the technical capabilities of manufacturing execution system (MES) ecosystems. The 2021–2023 industry push toward supplier road map alignment and the publication of BioPhorum’s MES of the Future Manifesto produced more than 120 proposed solutions, many of which suppliers have since delivered across MES, automation, analytics, and integration layers, as shown in the subsequent progress report.

Technical maturity is rising. Yet, despite this advancement, adoption across manufacturing sites remains uneven. A 2025 survey of BioPhorum’s MES of the Future members revealed an average Digital Plant Maturity Model (DPMM) score of around 2.5 — evidence that many organizations remain stuck between localized digital improvements and true enterprise integration. The challenge is no longer innovation; it is converting available capabilities into sustainable, measurable business value.

Understanding why this gap persists requires looking beyond technology alone and toward organizational readiness, operating models, and the broader ecosystem in which MES initiatives are delivered.

The Gap Between Technology And Organizational Readiness

The challenges here are not due to a lack of innovation or vision, but rather a persistent gap between what is technically possible and what organizations can practically adopt, sustain, and realize value from.

The core challenge facing the industry today is not technology readiness but organizational readiness. Advanced capabilities such as AI, predictive analytics, digital twins, and autonomous execution are increasingly available, yet most organizations struggle to absorb them in ways that deliver meaningful, repeatable business value. There is a mismatch between what is possible and what is practical.

This mismatch manifests when:

• Technologies are introduced faster than foundational integration, data quality and operating models can support.
• Ambitious future-state visions are pursued without sufficient alignment to current maturity.
• Success is measured by system deployment rather than outcomes realized.

As a result, organizations invest heavily but experience delayed time-to-value, increased validation effort, rework, and growing skepticism around MES-led transformation projects.

Cultural And Operating Model Inertia

Many MES initiatives stall not because the business case is weak but because entrenched ways of working slow or dilute execution. Legacy validation practices, bespoke configurations, fragmented ownership, and risk-averse decision-making often persist even when the intent to modernize is strong.

In practice, this leads to:

• incremental change that lacks a consistent direction
• short-term ROI thinking that discourages foundational investment
• acceptance of suboptimal solutions to meet immediate schedule pressures
• “human middleware” where people compensate for system gaps through manual workarounds.

These patterns reinforce the perception of MES as a cost center rather than a strategic enabler of business value.

Long Implementation Timelines And The Burden Of Validation

In highly regulated environments, most effort associated with MES adoption is not in software configuration but is in the surrounding ecosystem of documentation, validation, and compliance activities. While necessary, these processes significantly extend implementation timelines and delay value realization.

When new capabilities are layered onto weak or fragmented foundations, organizations often face:

• revalidation and rework when systems are later standardized or replaced
• increased effort to maintain compliance across siloed systems
• limited ability to incrementally introduce new capabilities without disrupting operations.

These reinforce conservative adoption behavior, even when the potential benefits are well understood.

Misalignment Across The Ecosystem

Another critical challenge is misalignment across manufacturers, technology providers, system integrators, and leadership teams.

This tension is particularly visible in the industry’s approach to cloud-based MES, where technical feasibility often outpaces organizational confidence in regulatory interpretation, validation ownership, and trust models.

Manufacturers may hesitate to demand more advanced or integrated solutions due to perceived risk, while suppliers incrementally introduce features to test market readiness. Leadership expectations are often shaped by advances in consumer and enterprise IT, leading to assumptions that industrial and regulated environments can adopt similar capabilities at the same pace.

This misalignment often results in solutions that are technically compliant but difficult to scale, adapt, or evolve, reinforcing long implementation cycles and delayed value realization. These dynamics, particularly how solution-led requirements and overspecification shape downstream outcomes, are explored in more detail in the accompanying BioPhorum article Why your MES RFP is failing before it starts from the MES of the Future team. Without a shared value-led framework, these disconnects persist and slow collective progress.

Many of these challenges are structural, rooted in how MES has historically been architected and deployed. A deeper discussion of why MES architecture has lagged behind enterprise IT, and what this means for scalability and time-to-value, is explored in the companion article MES Is Still In The CD ROM Era But The Data Architecture Has Moved On.

Implications For Manufacturers And Providers

For manufacturers and CDMOs, this gap means that many organizations do not yet have the infrastructure, processes, or workforce capabilities required to support or benefit from advanced (Digital Plant Maturity Level 4–5) MES capabilities. Systems remain siloed, data quality and consistency vary, and operations continue to rely heavily on manual interventions.

Attempting to leap directly to advanced capabilities without addressing these foundational gaps increases the risk of failed implementations, wasted investment, and operational disruption. In practice, the primary constraint is not intent but execution: sites struggle to absorb transformation work alongside live production schedules.

As a result, maturity road maps often exist on paper but fail to translate into sustained change at the site level. This disconnect is increasingly recognized as mindset and operating-model challenges rather than a lack of ambition, where legacy validation approaches, bespoke configurations, and fragmented ownership slow progress even when the business case is compelling.

For technology providers and system integrators, the same gap manifests as a persistent misalignment between advanced solution capabilities and customer readiness. Suppliers are frequently required to scale back, modularize, or delay the adoption of higher maturity features to meet customer readiness.

This increases the burden on providers to support incremental adoption through additional integration, training, and change management effort, often extending delivery timelines and complicating value realization. While these adaptations are necessary to enable progress, they also make it harder to deliver consistent, scalable outcomes across the ecosystem.

Becoming Unstuck And Closing The Value Gap

Ultimately, many organizations are not stuck because they lack ideas or tools but because they lack a structured way to link digital maturity, organizational readiness, and business value. Focusing solely on advanced capabilities without addressing people, process, and governance challenges increases the likelihood of stalled initiatives and unrealized benefits.

By reframing By adopting MES around clearly defined business values, realistic maturity-based sequencing, and outcome-led measurement, organizations can move beyond fragmented progress and begin translating digital intent into sustained, measurable value. As the manufacturing industry moves toward more complex, interconnected, and digitally enabled operations, the organizations that will break free from the Level 2.5 plateau are those that anchor their MES journey in business value, not technology alone.