PLM & Digital Engineering

Designing, deploying, and transforming the digital engineering ecosystem

From digital continuity to model-based engineering, from PLM platform transformation to product configuration, we help companies master the digital systems that underpin how their products are designed, developed, and managed.

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How we transform PLM & Digital Engineering

Engineering organisations face a compounding challenge. Their products are more complex — spanning mechanical, electrical, software, and systems domains. Their portfolios are broader — with more variants, configurations, and lifecycle obligations. And the digital engineering ecosystem that connects design to manufacturing and service has grown organically, creating fragmentation where there should be continuity. Four priorities determine whether the engineering backbone keeps pace with what it needs to support.

01

Achieving digital continuity across the engineering ecosystem

Engineering teams accumulate tools for design, simulation, product data, software, requirements, test. Each does its job. But the data between them is fragmented, duplicated, or lost. Engineers spend more time searching for information than creating value. Digital continuity - connecting this entire ecosystem into a coherent thread from early design to manufacturing and service - is the foundation everything else depends on.

Digital Thread Architecture
Designing the data flows and integration logic that connect the full engineering tool landscape across the product lifecycle
Master Data Management
Centralising control of master data and establishing the standards, ownership models, and governance that make digital continuity sustainable at scale
Bill of Materials Integration
Aligning engineering, manufacturing, and service BOMs to ensure consistency across the value chain
IT Platform & Interfaces Strategy
Positioning your PLM platform within the broader engineering ecosystem with robust connections to simulation, requirements, test, and downstream systems
Hardware-Software Lifecycle Integration
Bridging PLM and ALM as products become increasingly software-defined, ensuring traceability and synchronisation across engineering domains
02

Deploying and transforming PLM platforms

PLM is the backbone of the engineering digital ecosystem — the central hub through which product data, workflows, and collaboration flow. Whether migrating to a new platform, upgrading an existing one, or extending PLM to new business units and geographies, these deployments are among the most complex digital transformations in industry. They touch every engineer, every process, every product. Getting the technology right is necessary. Getting the business transformation right is what determines success.

PLM Strategy & Platform Selection
Benchmarking solutions against your specific engineering needs, organisation, and existing tool landscape - vendor-agnostic
PLM Foundations
Defining the functional backbone: configuration rules, nomenclatures, workflows, process standards, and business continuity
Programme Governance
Structuring rollout phases, migration strategies, and governance for multi-site, multi-country deployments
Change Management & Adoption
Ensuring engineers actually use the platform, not work around it — through training, embedded coaching, and process redesign
03

Adopting model-based systems engineering for complex products

Some products are inherently complex systems - an aircraft, a satellite, a combat system - with thousands of components interacting across mechanical, electrical, thermal, and software domains. When the product itself is this complex, traditional document-based engineering breaks down: requirements are ambiguous, interfaces are misunderstood, verification is incomplete. MBSE offers a shared, model-based representation of the system that connects requirements, architecture, behaviour, and verification. But adopting it is not a tool deployment - it is a deep methodological and organisational transformation.

MBSE Strategy & Roadmap
Defining ambition level, scope, and sequencing based on product complexity and organisational maturity
Methodology & Standards
Establishing modelling frameworks and conventions tailored to your engineering culture and product domain
Tool Selection & Integration
Choosing and connecting systems modelling tools with PLM, ALM, and simulation environments
Pilot, Scale-up & Competence Building
Running pilots on real programmes, then scaling with proven methods and embedded coaching
04

Structuring product data to master portfolio complexity

A different kind of complexity: not the system itself, but the sheer number of variants, options, and configurations that industrial companies must manage across their product portfolio. A vehicle manufacturer with dozens of models, hundreds of options per model, and multiple production regions. A defence contractor managing configuration baselines across decades of service life. When product data is poorly structured in the PLM, errors cascade into manufacturing, supply chain, and service — often discovered far too late.

Configuration Management
Defining and implementing the rules, workflows, and governance within the PLM that manage variants, baselines, effectivity, and engineering changes throughout the lifecycle
Product Line & Modularity Implementation
Structuring BOMs, configuration rules, and variant management within the PLM to translate modular product strategies into enforceable digital processes that drive reuse at scale
Digital Change Process Optimisation
Leveraging PLM automation for impact analysis, approval routing, and traceability to streamline engineering change workflows (ECR/ECN) in multi-partner environments
PLM for Sustainability
Exploiting well-structured product data to measure environmental footprint, support eco-design decisions, and enable lifecycle assessments

R&D Link

PLM & Digital Engineering is the technology enabler of R&D transformation. Our PLM engagements are often combined with strategic R&D consulting, from innovation strategy to programme management. 

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R&D Link

Powered by Mews Labs

Mews Labs augments our PLM expertise with advanced data science and AI.

AI-Augmented PLM Applying machine learning to engineering data to automate classification, detect anomalies in product structures, and recommend design reuse — accelerating development whilst reducing errors.
Data-Centric Engineering Structuring and exploiting engineering data assets beyond traditional PLM boundaries, enabling advanced analytics and decision support across the product lifecycle.
Digital Twin & Connected Product Connecting PLM data with physics-based simulation and real-world performance data to create living digital representations that evolve throughout the product lifecycle.
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Selected PLM & Digital Engineering projects

Digital Continuity across 4 Business Groups for a major automotive supplier
Automotive & Mobility PLM & Digital Engineering

Digital Continuity across 4 Business Groups for a major automotive supplier

Structure and deploy a digital continuity programme between PLM, MBSE, and ALM across 4 Business Groups with different tools, practices, and organisations.

Digital project management tools deployed across all groups — planning, resource management, and risk tracking integrated.

4 Go-Lives on time.

Product Line Approach for Modular Avionics
Airbus Aerospace & Defence PLM & Digital Engineering

Product Line Approach for Modular Avionics

Define and implement the processes, performance measurement, and governance framework for the transition to modular avionics product lines.

Product line maturity gates and governance framework defined.

Business case evaluation tool, value guide, and transformation roadmap delivered.

Engineering Toolchain for Digital Continuity for a major company in space exploration
Aerospace & Defence PLM & Digital Engineering

Engineering Toolchain for Digital Continuity for a major company in space exploration

Design and implement an integrated engineering toolset for 1,000+ engineers on a €1bn+ satellite programme — ensuring digital continuity across design, simulation, and manufacturing.

Digital maturity assessment completed.

Target toolset defined and deployed.

Integrated toolchain ensuring end-to-end digital continuity across the programme.

Our PLM & Digital Engineering clients

Meet our PLM & Digital Engineering team

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Connect your engineering data. Accelerate your product lifecycle.

Whether you're deploying a new PLM platform, transitioning to model-based engineering, or building digital continuity across your engineering ecosystem, we bring the expertise to make it work.

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