Chapter 3:
Creating an
AI-supported connected foundation for development,
design and production

Faster innovation, higher quality and more predictable production all rely on how well early decisions reflect real manufacturing conditions.

Yet many organizations still operate with isolated tools and manual processes, making it difficult to see constraints early or share insight across the lifecycle.

Fujitsu helps manufacturers create a connected foundation where development, design, engineering and production planning work from the same trusted information.

The IDC InfoBrief “Data & AI:
The Essentials for Building Robust Manufacturing Operations,”
highlights that, as manufacturers modernize their factories, they prioritize areas such as quality inspection and analysis, process innovation, asset instrumentation and real-time visibility. Success
is often measured through KPIs including overall equipment effectiveness, cycle time and scrap rates. A connected foundation supports these priorities by giving teams consistent access to shared data.

Strengthening early design
and engineering decisions

Design choices influence long term cost, manufacturability, sustainability and compliance, so early work needs structure and consistency.

Fujitsu supports this through environments such as the Engineering Accelerator, PDPM, DI PaaS and Decision-Making Optimization. These
tools give teams reliable access to information, highlight production constraints sooner and reduce reliance on individual expertise.

Performance data from production, inspection and real world use
also plays a key role. Fujitsu helps manufacturers capture and reuse
this information so designs become more robust with each cycle
and updates can be validated with greater accuracy.

Fragmented engineering data is another
challenge. Knowledge is often scattered
or held by a few senior specialists. By unifying
this data in an accessible and AI supported environment, Fujitsu provides information that
is standardized and structured so it can be
used consistently. This helps teams compare
options more effectively, meet compliance expectations earlier and make decisions
with greater confidence.

Connecting
design intent with
production reality

Misalignment between engineering and manufacturing was a recurring client concern. Fujitsu provides a practical way to bring these functions together without requiring
a digital thread where one is not yet available.

Teams gain earlier visibility of how design choices
affect production, can identify risks such as scrap
or delay sooner and communicate more clearly across engineering and manufacturing. This creates smoother transitions into production planning.

AI strengthens collaboration by analyzing large
datasets, detecting anomalies and helping teams understand downstream impacts of design decisions.
As Johans Carstens, Head of Smart and Sustainable Manufacturing at Fujitsu explains:

Embedding intelligence into workflows helps organizations move from prototype to production faster while maintaining compliance and quality.

With a connected foundation in place, teams gain earlier
visibility of constraints, more consistent compliance assurance and smoother flows from concept to production. The lifecycle functions as one system rather than disconnected stages, improving speed, accuracy and confidence across
development, design and manufacturing.