Industrial Digital Strategy
We build a cohesive industrial technology vision aligned with your operational challenges.
We develop a coherent and aligned vision of your industrial technologies to support operational objectives, improve performance, and secure critical systems.
Industrial Digital Assessment and Roadmap
We analyze your industrial environment to identify modernization opportunities, define priorities, and build a digital roadmap aligned with your operational objectives.
- Assessment of IT/OT digital maturity and existing systems
- Identification of technology gaps and operational risks
- Prioritization of high‑value digital initiatives for operational continuity and performance
- Development of a detailed digital roadmap with strategic and technical recommendations for industrial transformation
Assessing industrial digital maturity requires looking at two complementary dimensions: IT, which includes infrastructure, cybersecurity, and management systems, and OT, which covers production equipment, control systems, and shop‑floor connectivity. A structured assessment analyzes the current state of each layer by examining deployed technologies, integration levels, technical debt, and operational risks, and then compares them against industry best practices.
The outcome is not a generic maturity report, but a precise snapshot of your actual environment. It clearly identifies the most critical gaps and the most accessible improvement opportunities. This factual baseline is essential to avoid launching transformation initiatives without fully understanding what already exists, what works well, and what represents a real risk to operational continuity.
A traditional IT plan focuses primarily on technology, such as which tools to purchase, which infrastructure to deploy, and how to allocate budgets. An industrial digital roadmap starts instead from operational challenges like productivity, quality, equipment availability, regulatory compliance, and cybersecurity. It then determines which digital initiatives address these challenges, in what sequence, and with what expected benefits.
In practice, the roadmap prioritizes initiatives based on their true operational value and feasibility, while accounting for industrial constraints such as legacy equipment, limited maintenance windows, and interdependencies between IT and OT systems. It also explicitly integrates cybersecurity, regulatory compliance, and change management, dimensions often missing from standard IT plans. The result is both a strategic and technical document that operations leadership and IT teams can jointly use to steer digital transformation over multiple years.
Prioritization is often the most complex aspect of industrial digital transformation because nearly every identified gap can appear urgent. A disciplined approach evaluates each initiative along two key dimensions: the operational value it delivers, such as reduced downtime, productivity gains, quality improvements, or lower cybersecurity risk, and the complexity of implementation, including cost, technical dependencies, and production impact during deployment.
Initiatives with high value and low complexity typically represent quick wins. They deliver visible results, build team confidence, and help justify subsequent investments. More structural, long‑term initiatives are then planned in alignment with maintenance windows, budget cycles, and strategic priorities. This approach enables a progressive transformation of the industrial environment without overwhelming teams or jeopardizing operational continuity.
Digital roadmaps that end up unused usually result from assessments that are too theoretical, disconnected from operational realities, or insufficiently anchored in management objectives. Avoiding this outcome requires two essential conditions.
First, the roadmap must be co‑built with operational teams, IT, and leadership rather than developed in isolation by external advisors. Recommendations need to be understood, owned, and defended internally. Second, the roadmap must be structured around concrete and measurable milestones, with clear success indicators for each initiative. A strategic document without follow‑up mechanisms quickly becomes obsolete. Our approach includes governance recommendations to keep the roadmap alive through regular reviews, assigned ownership, and ongoing adjustments based on real‑world feedback.
IT/OT Application Architecture Design and Review
We design and assess robust, secure IT/OT application architectures that enable effective integration between industrial systems and enterprise applications, while meeting performance, availability, and cybersecurity requirements.
- Analysis of application and data flows between OT and IT environments such as SCADA, MES, ERP, and data historians, including protocols and integration mechanisms
- Evaluation of integration approaches such as APIs, integration buses, MQTT, and OPC UA, along with associated performance and latency requirements
- Validation of technology choices and recommendations to optimize scalability, maintainability, and long‑term system evolution
In industrial environments, application architecture determines how data flows between the shop floor and management systems, directly impacting the quality and timeliness of information used for operational decisions. Poor architecture often results in production data reaching the MES too late, fragile integrations that break with every update, unnecessary exposure of SCADA systems to IT networks, or an inability to connect new equipment without redesigning the entire infrastructure.
Conversely, a well‑designed IT/OT architecture becomes a performance enabler. It allows new systems to be integrated without rebuilding everything, maintains operational availability even during incidents, and supports strong cybersecurity controls without restricting data flow. This is a foundational decision that shapes the organization’s ability to evolve digitally over the next five to ten years.
The choice of integration mechanism depends on three factors: the nature of the data being exchanged, latency and performance requirements, and the capabilities of existing equipment. There is no single universal answer, and each architecture must be sized for its specific context.
OPC UA is the reference standard for real‑time communication between industrial systems such as PLCs, SCADA platforms, and data historians, offering a rich semantic data model, built‑in security, and strong multi‑vendor interoperability. MQTT is commonly used in large‑scale IIoT architectures where many sensors publish data to a central broker, as it is lightweight and efficient on low‑bandwidth or distributed networks. REST APIs are typically used for integrations between IT systems such as ERP, MES, CMMS, or cloud applications where real‑time constraints are lower and flexibility and readability are more important.
In most modern IT/OT architectures, these mechanisms coexist and complement each other. The key challenge is combining them appropriately based on the data flows and constraints of each layer.
Long‑term maintainability and scalability depend on a few fundamental principles that are often overlooked during integration projects. These include clear separation of responsibilities between systems, standardization of integration mechanisms, and rigorous documentation of data flows and dependencies.
An architecture review helps identify common weaknesses such as point‑to‑point integrations that create hidden dependencies, proprietary protocols that lock the organization into a single vendor, lack of error handling and failure management, or overly complex integration layers compared to actual needs. Optimization recommendations typically focus on simplifying where possible, standardizing strategically, and documenting what internal teams will need to maintain. A well‑documented and standardized architecture reduces reliance on external experts and makes it easier to integrate new systems as technologies evolve.
In most cases, reviewing an existing architecture is more appropriate than starting from zero, as full rebuilds are rarely justified and often underestimated in terms of risk and cost. An architecture review is particularly relevant when a major integration project is planned, such as deploying a new MES, SCADA system, or cloud platform, and the organization needs to confirm that the existing architecture can support it. It is also warranted when recurring performance, availability, or security issues point to structural weaknesses, or when the architecture has evolved organically over many years without proper documentation or rationalization.
The review provides an objective assessment of strengths and weaknesses, prioritized optimization recommendations, and validation of technology choices against current and future needs. In most situations, this approach preserves what already works while precisely targeting what needs modernization, which is significantly less risky than a complete rebuild.
GMP (Good Manufacturing Practices) Computer System Qualification and Validation
We support regulated organizations in the qualification and validation of computerized systems to ensure compliance with Good Manufacturing Practices (GMP) and operational reliability.
- Definition of validation strategy and system classification (GxP vs non‑GxP) based on product quality impact
- Execution of qualification and validation activities (IQ, OQ, PQ), including deviation and change management
- Development of required documentation such as URS, FDS, SDS, validation plans, and reports, as well as support during regulatory audits
The first step in a validation program is classifying systems based on their impact on product quality and patient safety. Systems directly involved in manufacturing, quality control, storage, or traceability of regulated products are considered GxP systems and require formal qualification and validation. Systems with no direct impact on product quality, such as general office or HR tools, are classified as non‑GxP and do not require the same level of documentation rigor.
In practice, systems most commonly subject to validation in pharmaceutical or biotechnology environments include SCADA, MES, LIMS, data integrity and audit trail systems, ERPs used for batch management, and connected equipment involved in production or quality control. A clearly defined validation strategy ensures effort is applied where it is regulatory required, without over‑validating low‑risk systems.
IQ, OQ and PQ are the three sequential phases in the qualification of a computerized system, each answering a specific and distinct question.
IQ, OQ, and PQ are the three sequential phases of computerized system qualification, each addressing a specific type of risk. Installation Qualification verifies that the system has been installed correctly according to vendor specifications and organizational requirements, including infrastructure, configuration, security, and access controls. Operational Qualification confirms that the system functions as intended across all defined features and test cases described in functional specifications. Performance Qualification verifies that the system consistently performs as expected under real operating conditions using actual production data and processes.
All three phases are required because they cover different failure scenarios. A system can be correctly installed but function incorrectly, or function properly during testing but fail under real operational conditions. Regulatory authorities expect complete and traceable documentation for each phase during inspections.
Any change made to a validated computerized system, whether a software update, configuration change, or infrastructure modification, must go through a formal change management process before being implemented in production. This process evaluates the potential impact on validated functionalities, determines whether partial or full requalification is required, and documents decisions in a traceable manner.
Not all changes carry the same risk. A minor corrective update with no functional impact may only require a documented impact assessment, while a major system upgrade or infrastructure change may trigger full OQ and PQ requalification. The objective is to maintain a process rigorous enough to satisfy regulatory expectations while remaining flexible enough to avoid operational paralysis. We support teams in defining and applying this process case by case.
A regulatory audit of computerized systems, whether conducted by the FDA, EMA, Health Canada, or a pharmaceutical client, primarily evaluates three areas: completeness of validation documentation, integrity of system‑generated data, and robustness of change and deviation management processes.
Effective preparation starts well before the audit. This includes ensuring that all GxP systems are covered by up‑to‑date validation documentation, qualification reports are approved and archived, deviations identified during qualification have been formally addressed and closed, and system audit trails are enabled, protected, and regularly reviewed. We assist quality and IT teams in reviewing the validation status of their system landscape, identifying documentation gaps requiring immediate attention, and preparing structured responses to common auditor questions.
