Kimley-Horn
Project coordination
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
- 50% reduction in grading for solar sites using AI tools
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
A global architecture, engineering, and construction firm with 75,000 professionals operating across more than 50 countries to deliver large-scale infrastructure projects.
Overall productivity levels in the industry have remained largely constant for more than fifty years. Furthermore, complex infrastructure programs...
“WSP is 75,000 professionals who wake up every morning to work on iconic projects that bring value to communities and to the planet. We are continually striving to streamline routine processes to allow our engineers and scientists to focus on innovation and impact. Our partnership with Microsoft helps us fulfill that ambition. By empowering our people with AI, we can deliver even greater results to our clients.”
Global engineering, design, and environmental consultancy services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
WSP's Engineering productivity is part of this use case:
Related implementations across industries and use cases
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
Engineers sifted through thousands of pages of municipal PDFs. Now, an AI agent instantly surfaces local codes with direct citations.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
Japan's shrinking workforce capped headcount. Instead of relying on IT, non-coding staff built AI workflows for daily budget approvals.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
A global architecture, engineering, and construction firm with 75,000 professionals operating across more than 50 countries to deliver large-scale infrastructure projects.
Overall productivity levels in the industry have remained largely constant for more than fifty years. Furthermore, complex infrastructure programs...
“WSP is 75,000 professionals who wake up every morning to work on iconic projects that bring value to communities and to the planet. We are continually striving to streamline routine processes to allow our engineers and scientists to focus on innovation and impact. Our partnership with Microsoft helps us fulfill that ambition. By empowering our people with AI, we can deliver even greater results to our clients.”
Global engineering, design, and environmental consultancy services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
WSP's Engineering productivity is part of this use case:
Related implementations across industries and use cases
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
Engineers sifted through thousands of pages of municipal PDFs. Now, an AI agent instantly surfaces local codes with direct citations.
Privacy rules and poor accuracy capped AI use at 30%. A self-hosted model hit 90% precision, driving adoption to 100%.
Engineers lost time to coordination, tracking comments across systems. Now, AI summarizes meetings, letting them focus on critical design work.
Japan's shrinking workforce capped headcount. Instead of relying on IT, non-coding staff built AI workflows for daily budget approvals.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.