Digital Engineering and Manufacturing

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Product reinvention at the core for enterprise transformation- at speed and scale

Our digital engineering team partners with organisations to re‑imagine how products are designed, manufactured, operated, and evolved.  We combine deep engineering expertise, industry‑grounded next generation digital capabilities, and our firm’s trusted advisory approach to help enterprises move beyond isolated digital initiatives to scaled, production‑ready engineering transformation—across R&D, manufacturing, and industrial operations.

Our purpose

From digital experiments to industrial‑scale impact in product design

Most organisations have experimented with digital tools. Few have industrialised them.

Our digital engineering consulting practice exists to bridge that gap—helping enterprises:

  • Modernise legacy engineering systems and toolchains
  • Build cloud‑native, AI‑enabled, Generative engineering platforms
  • Embed reliability, security, and compliance by design
  • Deliver real business outcomes—not just technology pilots

Our focus is engineering reality for products, not slideware.

Let’s engineer what matters

Digital transformation only delivers value when it is engineered for reality.

Our Digital Engineering practice helps you build platforms, products, and capabilities that are:

  • Scalable
  • Secure
  • Reliable
  • Future‑ready

The PwC advantage in digital engineering

Engineering‑first, not IT‑only

We operate at the intersection of software, systems, and physical engineering environments—including Product Lifecycle Management ( PLM), Computer-Aided Design (CAD), simulation, IoT, OT, and industrial platforms—going far beyond traditional enterprise IT transformations.

We modernise the engineering toolchain itself — replacing fragmented PLM, CAD, and ALM environments with a unified, AI-augmented R&D backbone where every design decision, simulation result, and field signal is traceable through a digital thread. Gen-AI for R&D moves beyond co-pilot features: compliable engineering agents autonomously generate, validate, and iterate engineering artefacts, compressing design cycles from weeks to hours.

  • Engineering Application Modernisation — Application Lifecycle Management (ALM), Model-Based Systems Engineering (MBSE), PLM, CAD and associated toolchains
  • Gen-AI for R&D: Compliable Engineering + MCP-enabled autonomous agents
  • Digital twin & simulation-led validation — virtual prototyping replacing physical test cycles
  • Digital Thread + federated governance across the product and engineering lifecycle

Product Lifecycle Management: The comprehensive platform that integrates and governs all phases of a product’s lifecycle—from initial concept and design, through development, manufacturing, and maintenance—enabling seamless collaboration, traceability, and data continuity across engineering disciplines. In a modernised engineering toolchain, PLM acts as the backbone facilitating the Digital Thread that connects design decisions, simulations, and real-world data for efficient, autonomous R&D workflows.

Computer-aided design (CAD): Advanced software tools that allow engineers to create, iterate, and optimise precise digital models and drawings of products. Within a unified, AI-augmented engineering ecosystem, CAD goes beyond traditional design drafting, feeding directly into simulation, validation, and autonomous engineering agents that accelerate design cycles while ensuring accuracy and innovation.

Built for production, not proof‑of‑concepts

Our solutions are designed to run at scale, under real‑world engineering constraints:

  • High‑frequency data
  • Complex system dependencies
  • Regulatory and safety requirements
  • Mission‑critical availability and reliability targets.

Digital + advisory, together

We embed engineering execution within PwC‑grade governance, risk, compliance, and value realisation frameworks—ensuring digital engineering investments deliver measurable business outcomes.

Our offerings

Core digital engineering of products

Core digital engineering of products​

We build the digital foundation required to industrialise engineering platforms:

  • Cloud‑native engineering architectures (AWS, Azure, GCP)
  • DevOps, Platform Engineering, and CI/CD automation
  • Reliability Engineering (SRE, observability, SLI/SLO frameworks)
  • Secure‑by‑design engineering environments aligned to ISO and enterprise standards.
Engineering systems and toolchain transformation

Engineering systems and toolchain transformation

We help organisations modernise and rationalise complex engineering ecosystems:

  • PLM, CAD, and Simulation toolchain assessment and rationalisation
  • PLM implementation and optimisation (Teamcenter, Windchill, 3DEXPERIENCE)
  • ERP‑PLM‑MES integration
  • Business case development and TCO optimisation for engineering platforms.
Industry‑grade GenAI for engineering products

Industry‑grade GenAI for engineering products​

We move GenAI beyond product demos into production engineering workflows:

  • GenAI for engineering data mapping, code generation, and document processing
  • Agentic AI for engineering change management and design automation
  • AI‑enabled simulation, testing, and validation workflows
  • Secure enterprise GenAI architectures (RAG, vector databases, model governance).
IoT, OT and industrial platforms

IoT, OT and industrial platforms​

We connect the physical and digital worlds:

  • Sensor‑to‑cloud industrial IoT architectures
  • Real‑time data streaming and time‑series platforms
  • Edge computing and embedded systems engineering
  • OT security and industrial protocol integration (Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controllers (PLCs), Remote Terminal Units (RTUs)).
Delivery and programme orchestration

Delivery and programme orchestration​

Complex engineering transformation demands equally robust delivery.

  • Multi‑workstream programme governance
  • C‑suite reporting and benefits realisation
  • Scaled delivery models across geographies and vendors
  • Risk, compliance, and dependency management at enterprise scale.
Prioritise sustainability by design

Prioritise sustainability by design​

Embed circular and intelligent product design principles to extend product lifecycles, reduce environmental impact, and drive innovation. This strengthens R&D operations by improving efficiency and accelerating time to market.

Embedded software development

Embedded software development

Our capabilities in building and integrating software for constrained environments include:

  • Hardware and software integration: Developing software tailored for highly constrained hardware environments using low-level communication protocols including UART, SPI, I²C, CAN, and GPIO.
  • Embedded tool chain: Application life cycle management, DevSecOps, and AI/ML Ops.
  • Real-time Operating Systems (RTOS) and Linux: Customising real-time architectures using Yocto Build and Buildroot environments for industrial and connected devices.
  • Edge AI and smart infrastructure: Deploying machine learning models directly onto resource-constrained physical chipsets to enable decentralised, real-time data processing.
  • Connected product cyber security: Embedding secure-by-design frameworks into firmware, managing memory-mapped peripheral protection, and creating end-to-end device telemetry security.
Software defined vehicles

Software defined vehicles

    Strategy and operating model transformation

  • Business Model Reinvention: Defining monetisation strategies for digital platforms and vehicle-to-cloud customer experiences.
  • Control point ownership: Helping automakers identify where to invest and which specific parts of the vehicle technology stack they need to own.
  • Organisation restructuring: Moving rigid manufacturing structures toward agile, digital-native software structures.

    Core domain applications

  • Autonomous driving and ADAS: Feature development, system engineering, functional safety, and AI-based perception and planning.
  • Electric and conventional propulsion: Power electronics software, Battery Management Systems (BMS), Inverters, and Vehicle Control Units (VCU).
  • Digital cockpit: Infotainment platforms, instrument clusters, virtualisation solutions, and personalised user experience systems.
  • E/E Architecture and middleware: Service-Oriented Architecture (SOA) definitions, AUTOSAR compliance, and network topology engineering.

    Software and integration services

  • Software and system integration: End-to-end multi-party software execution and system consolidation.
  • Testing and validation: Automated validation suites, Hardware-in-the-Loop (HIL) testing, and virtual simulation.
  • Cloud, Edge Analytics & Data Management: Cloud-native automotive applications, Over-the-Air (OTA) updates, and edge data pipeline services.

Industries we serve

Our digital engineering brings deep experience across:

AI Edge for Viksit Bharat
Raghavendra Kulkarni

The future won’t be won by those who build faster or cheaper, but by those whose engineering and R&D organisations move faster than the market.

Raghavendra Kulkarni, Partner, Digital Engineering, PwC India

The PwC Edge

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Trusted C‑suite advisor with global reach

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Hands‑on engineering capability, not just recommendations

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Industry‑specific depth across complex engineering domains

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End‑to‑end accountability, from roadmap to realisation

Digital engineering and R&D transformation insights

Get in touch

FAQs

It is our specialised practice focused on leveraging AI, digital technologies, and advanced analytics to transform engineering and manufacturing operations, driving efficiency, innovation, and smarter decision-making. 

We enable real-time optimisation, predictive insights, and smarter workflows by integrating AI into manufacturing processes. Our approach focuses on scaling AI from pilots to enterprise-wide adoption with trusted governance.

We serve diverse sectors including automotive, aerospace, consumer goods, industrial manufacturing, and more, helping them enhance product lifecycle management, supply chain resilience, and production agility. 

PwC embeds governance by design and risk management frameworks early in the AI adoption journey to foster trustworthy, transparent, and compliant AI solutions. 

Our suite includes AI-driven simulations, digital twins, automation, real-time analytics, and workforce upskilling to accelerate innovation and speed to value. 

Yes, we work with clients to redesign workflows and develop human-AI collaboration models that empower employees to thrive in the evolving manufacturing landscape.

We focus on outcome-led transformations backed by strong governance, continuous assurance, and integration into enterprise workflows to unlock tangible impact and productivity gains.

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