Engineering smarter with industrial AI
Engineering teams are under constant pressure to deliver safe, high-quality designs faster while managing growing complexity, frequent changes, and disconnected disciplines. Valuable time is often lost in resolving inconsistencies, correcting issues late in the process, or reworking deliverables when requirements shift. These challenges increase cost and risk and limit the ability to innovate.
AVEVA's industrial AI helps teams overcome common challenges by turning complex project information into clear insight. It supports faster decisions, reduces uncertainty early in the process, and helps teams progress with greater confidence. By improving consistency, strengthening collaboration, and giving engineers the clarity they need when they need it, we enable organizations to deliver more mature designs, reduce rework, and stay ahead of changing project demands.
AVEVA's industrial AI also supports:
- More predictable project outcomes through more informed decisions
- Stronger coordination across engineering disciplines
- Faster progress with less manual effort
Benefits of industrial AI for engineering
Industrial AI helps engineering teams work with greater clarity and speed by turning complex project information into insight. It reduces time spent on manual effort, strengthens collaboration, and improves consistency across every stage of design.
Higher design confidence
Industrial AI supports better decisions early in the process by providing clarity when requirements change and helping teams progress with fewer errors and less rework.
Faster time to value
With clearer insight and simplified access to information, engineering teams move through design stages more quickly, reduce delays, and speed up delivery of high-quality work.
Smarter project coordination
AVEVA's industrial AI improves alignment across disciplines, helping teams stay connected, share understanding, and respond more effectively to changes throughout the project lifecycle.
Improving engineering accuracy and efficiency
AP Consultoria e Projetos improved engineering efficiency, reducing hardware costs by 56% and analysis time by 90%. At the same time, the company shortened documentation cycles, reduced rework, and improved project delivery.
Industrial AI use cases
- Early design clarity
- Faster design cycles
- Connected collaboration
- Smarter retrofit design
- Repetitive tasks
- Data intelligence
Improve early design accuracy and decision-making
Generative design AI analyzes project constraints and directives to automatically produce optimized and feasible layout options for engineers to evaluate and select. Early engineering often starts with limited clarity and scattered data, raising the risk of rework. By grounding early decisions in trusted project and operational data, teams reduce guesswork, avoid late corrections, stabilize FEED packages, and create a stronger project foundation.
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Speed up design cycles with generative and predictive intelligence
Design teams often face bottlenecks in FEED and early detailed design because layout options are explored manually, and decisions require repeated validation. AVEVA’s Industrial AI speeds this up by combining generative and predictive intelligence in AVEVA Unified Engineering E3D Design. Generative AI produces multiple clash-free options in minutes, while predictive models guide choices like pipe supports and stress thresholds. Teams move through iterations faster, shorten design cycles, and reduce project uncertainty.
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Enhance collaboration and model alignment across disciplines
Complex projects need constant communication, yet traditional workflows isolate disciplines and slow project alignment. AVEVA’s Industrial AI improves collaboration by giving all teams a shared connected model. With AVEVA Unified Engineering as the backbone, design changes update across deliverables automatically, and AI-driven logic keeps rules and specifications consistent. Teams spend less time reconciling models and more time advancing design maturity, improving visibility, reducing friction, and keeping projects moving with fewer coordination delays.
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Streamline brownfield and retrofit engineering with Point Cloud Intelligence
Brownfield projects rely on extensive site validation to understand actual asset conditions, which can add cost and slow progress. AVEVA’s Industrial AI streamlines this by transforming raw laser scans into usable design data. Point Cloud Intelligence automates data classification, segmentation and tagging, so accurate site conditions flow directly into AVEVA E3D Design. This reduces manual verification, minimizes mismatches, and helps teams work confidently from the start, reducing survey effort, avoiding rework, and accelerating retrofit projects with fewer uncertainties.
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Deliver consistent, high-quality drawings with less manual effort
As engineering moves toward construction, teams often struggle with manual formatting, specification alignment, and consistent quality across drawings. AVEVA’s Industrial AI streamlines this stage by automating many time-consuming tasks. The Whitespace Optimizer in AVEVA Unified Engineering creates clear, consistent layouts automatically, while the AI-infused Rules Manager applies specifications correctly. By reducing repetitive work and late corrections, teams deliver higher-quality documentation faster and ensure a smoother handover to construction.
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Speed up engineering decisions
Across the engineering workflows, teams lose time searching for information or navigating complex commands. The Industrial AI Assistant acts as a true design aide by giving instant natural language access to data, system actions, and workflow guidance. Integrated into AVEVA Unified Engineering, it retrieves information in seconds, resolves routine questions, triggers tools through simple requests, and supports consistent understanding, so engineers work faster and with greater confidence at every stage.
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Experts in industrial AI
FAQs
Industrial AI embeds intelligence into AVEVA's Unified Engineering environment. It uses a combination of expert systems optimization algorithms and machine learning models trained on design and operational data to guide engineering decisions, automate design logic, accelerate layout exploration, and streamline workflows from concept through detailed design.
The Industrial AI Assistant for engineering is currently available. It acts as a true design aide, providing conversational guidance, technical support, and natural language command invocation directly within engineering workflows.
We are committed to growing our AI capabilities in close partnership with our customers, bringing cutting-edge industrial AI to the industries we’ve served for decades.
AVEVA offers are frequently used by customers in highly regulated sectors. AVEVA certifications with industry standards, such as ISA Secure, ISO 27001, ISO 9001, SOC2, and ISO 14001, reduce system integration compliance efforts for such environments. Additional information is available at AVEVA’s Trust Center.
Some of the solutions require CONNECT to function, though many are built directly within the application. Please speak with your AVEVA representative to learn about the specific AI tool requirements suitable for your organization’s needs.
No, AVEVA’s AI products do not fall under the EU AI Act’s definitions of “High Risk” or “Prohibited” systems. The EU AI Act is the first comprehensive regulation for artificial intelligence, designed to ensure AI systems are safe, transparent, and respect fundamental rights.
The EU AI Act explicitly bans certain types of AI systems that are considered to pose unacceptable risks to people’s safety, rights, and freedoms and establishes a set of stringent obligations for AI systems classified as “High Risk.”
AVEVA’s AI solutions are designed to support customers in analyzing their own industrial data and do not fall within the categories identified as “High Risk” or “Prohibited” under the EU AI Act.
Resources
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AVEVA Unified Engineering
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