Enhance infrastructure projects and maintenance with connected data and AI

Infrastructure organizations are under increasing pressure to deliver and maintain critical infrastructure while navigating aging assets, workforce shortages, extreme weather events, and rising capital costs—all while simultaneously needing to strengthen operational performance and extend asset lifecycles.

But when projects rely on disconnected data and inconsistent workflows, that’s a feat easier said than done.

Many leaders in infrastructure have turned to artificial intelligence (AI) to help teams make better decisions, reduce manual effort, and improve delivery outcomes across the infrastructure lifecycle. AI is a central driver for efficiency and perceived as essential to stay competitive. And nearly all (99%) of transportation leaders see AI as necessary.1

In fact, organizations embracing and integrating AI are realizing greater benefits than peers who are slower to adopt.2

However, these benefits can only be realized when AI is built on a trusted and connected data foundation.

A strong digital foundation connects your teams, processes, and data so that your projects stay on-budget and on-schedule. More than that, it can also empower your teams to work faster and reduce risk, so you deliver higher-quality projects faster.

34% of AI leaders outperform their peers3

29% of leaders show greater resilience4

34% had greater growth prospects5

1 Autodesk 2 Autodesk 3 Autodesk 4 Autodesk 5 Autodesk2

Enhance infrastructure projects and maintenance with connected data and AI

https://boards.autodesk.com/aec-ai-innovation/research--innovation/report-spotlight-on-transportation?fw=b155e https://boards.autodesk.com/aec-ai-innovation/research--innovation/ai-pulse-report?fw=b155e https://boards.autodesk.com/aec-ai-innovation/research--innovation/the-blueprint-of-an-ai-leader?fw=b155e https://boards.autodesk.com/aec-ai-innovation/research--innovation/the-blueprint-of-an-ai-leader?fw=b155e https://boards.autodesk.com/aec-ai-innovation/research--innovation/the-blueprint-of-an-ai-leader?fw=b155e

Infrastructure projects generate enormous amounts of data across planning, design, construction, operations, and maintenance. But too often, that information lives across disconnected systems and teams, leading to miscommunication and project delays. According to Autodesk’s State of Design & Make: Spotlight on Transportation report, 40% of companies struggle with siloed data, and more than 8 out of 10 say poor data management impacts project efficiency.6

The first step toward a successful AI strategy is to break down silos by shifting from paper-based processes to a common data environment (CDE). Without connected and accessible project data, AI cannot deliver meaningful insights or automation.

Accelerate reviews and approvals by taking control of your data1

6 Autodesk 7 Autodesk

73% of Design & Make organizations say having a CDE has improved trust between project collaborators.7

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Enhance infrastructure projects and maintenance with connected data and AI

https://boards.autodesk.com/aec-ai-innovation/research--innovation/report-spotlight-on-transportation?fw=b155e https://boards.autodesk.com/aec-ai-innovation/research--innovation/ai-pulse-report?fw=b155e

Why: A CDE centralizes all the data generated during all stages of your future infrastructure projects. This can give you full control over project data, which can then help you share it easily across multidisciplinary teams. It also provides traceability across reviews, approvals, and decisions, ensuring compliance requirements while improving confidence in project records.

When the most up-to-date information is reliably accessible, things like reviews and approvals can happen faster, ensuring that your projects stay on-track and on-budget.

More detail: What’s more, a CDE can help track project progress and asset conditions and flag issues for every other stakeholder to see. That way, your teams can get ahead of potential problems or bottlenecks by addressing them before they even occur— minimizing the risk of misalignment and leading to less time and budget spent on rework.

A CDE can also help: • Improve knowledge sharing by centralizing all

information and data in a single source of truth • Enhance quality assurance and quality control

efforts by reducing the need to manually enter or recreate data

• Streamline collaboration across internal and external teams by enhancing coordination and communication

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Enhance infrastructure projects and maintenance with connected data and AI

2 Once your CDE is in place, the next step is implementing standardized processes and AI-supported automated workflows. This can help improve productivity without the need for additional funds or resources. For example, your team can use AI to automate repetitive tasks like updating schedules and entering costs so that they can focus on more high-impact work.

More than that, standardized workflows can also uphold consistent compliance across internal and external projects.

Ensure compliance with standardized workflows and automated systems

84% of Design & Make organizations say AI improves productivity.8

8 Autodesk

Discover the power of optimized factory designEnhance infrastructure projects and maintenance with connected data and AI

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https://boards.autodesk.com/aec-ai-innovation/research--innovation/ai-pulse-report?fw=b155e

Why: Teams can apply standardized workflows to maintain compliance across projects. This can reduce variability and make it easier to meet agency standards, regulatory requirements, and delivery expectations at the start of a project.

You can also take standardized workflows a step further with automation. AI-supported automation reduces manual coordination so teams can stay consistent across reviews and maintain delivery standards across increasingly complex infrastructure programs. Doing so enables stronger delivery reliability and higher engineering quality.

More detail: AI can help preserve and scale institutional knowledge by making project information easier to find, understand, and apply across teams. Instead of having to sift through multiple files spread across multiple locations, your project teams can centralize all relevant project information into your CDE. Then if a new team member joins, they can use AI to confidently surface the right data needed to keep project momentum.

Discover the power of optimized factory designEnhance infrastructure projects and maintenance with connected data and AI

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3 Reduce rework with AI insights across the infrastructure lifecycle At this stage, you’ll be ready to use AI insights across planning, delivery, operations, and long-term asset management. As infrastructure organizations continue modernizing operations, AI can help:

Improve compliance across infrastructure delivery by analyzing real-time project and asset data against established requirements to identify potential compliance gaps earlier.

Reduce manual quality assurance and quality control efforts while improving consistence and engineer confidence.

Identify risks and minimize rework by automatically converting findings into trackable actions your teams can act on.

73% of leaders say AI increases quality of output.9

9 Autodesk7

Enhance infrastructure projects and maintenance with connected data and AI

https://boards.autodesk.com/aec-ai-innovation/research--innovation/ai-pulse-report?fw=b155e

Why: AI-driven insights can help identify risks earlier to improve delivery predictability and prevent rework before issues escalate into downstream delays. Additionally, your CDE can give you more visibility into project performance, dependencies, approvals, risks, and asset conditions. This can help your teams make more confident delivery decisions and extend infrastructure lifespan.

More detail: But insights alone don’t move projects forward, action does. The real value of AI comes when findings are automatically translated into next steps that can be assigned to the right team, with the right context, and at the right time. That’s how organizations close the loop between what AI detects and what gets resolved—turning early warnings into measurable improvements that can optimize asset performance and extend longevity.

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Enhance infrastructure projects and maintenance with connected data and AI

Podcast: Digital delivery with WSB Engineering service provider WSB helps transportation and infrastructure organizations modernize how they deliver and manage infrastructure projects. Listen in on how they’ve seen tech like CDEs, digital delivery, standardized workflows, and AI-enabled automation help agencies:

Improve interoperability, maintain compliance, and reduce rework

Enhance delivery predictability and streamline QA and QC processes

Empower teams to do more with existing resources while improving engineering reliability and operational visibility

Discover the power of optimized factory designEnhance infrastructure projects and maintenance with connected data and AI

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https://boards.autodesk.com/infrastructure-insider-podcast?token=c242d9014f https://open.spotify.com/episode/3RdoLywVWegChfRnTHDJgu?si=e097fbd3fb5d471c https://podcasts.apple.com/us/podcast/infrastructure-insider-transportation-chronicles/id1896279468

Take the next step AI in infrastructure holds immense potential to make the industry more predictable and resilient. But realizing that value requires more than adopting point solutions. Successful AI implementation demands alignment across people, processes, data, and technology. More than that, it is only effective when AI-generated insights connect directly to the actions, decisions, and outcomes that move projects forward.

Organizations that begin preparing now will be far better positioned to scale and compete as the industry evolves. Those that delay risk falling further behind as AI-driven workflows and delivery models become standard across infrastructure projects.

To prepare for the future you need to:

Choose a technology partner with infrastructure lifecycle expertise A solutions partner that understands your company’s needs and challenges is integral for successful implementation of AI.

Ensure data security and governance across your ecosystem Lifecycle expertise isn’t the only thing you should consider when choosing a technology partner. Things like risk management, accountability structures, and lifecycle oversight are key to finding the right fit.

Build workforce readiness for AI- supported workflows Upskilling your existing workforce to close skill gaps and training the next generation to work alongside AI is crucial for continued success.

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Enhance infrastructure projects and maintenance with connected data and AI

Autodesk’s approach to AI Autodesk AI helps infrastructure teams work more efficiently, make better decisions, and improve project outcomes across the entire infrastructure lifecycle. Autodesk AI is built on the data, workflows, and expertise that power infrastructure delivery, enabling more relevant insights, automation, and assistance than generic AI tools.

Connected data creates the context AI needs to deliver meaningful insights, automation, and assistance across infrastructure workflows.

Because Autodesk AI understands the relationships between people, projects, models, documents, requirements, and assets, it can provide industry-aware assistance and recommendations that generic AI tools cannot.

Build a stronger foundation for more predictable, resilient infrastructure delivery today.

Discover the power of optimized factory designEnhance infrastructure projects and maintenance with connected data and AI

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Autodesk, the Autodesk logo are registered trademarks or trademarks of Autodesk, Inc., and/or its subsidiaries and/or affiliates in the USA and/or other countries. All other brand names, product names, or trademarks belong to their respective holders. Autodesk reserves the right to alter product and services offerings,

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