Outsourcing restricted confidential data. A two-week sprint equipped teams with standardized workflows to securely build AI in-house.
A construction and civil engineering enterprise founded in 1840 provides centralized IT platforms for 20,000 employees across its domestic group companies.
The organization traditionally outsourced system development to external vendors, a slow process that prevented the integration of highly...
“At Kajima, each department outsources its systems development to an IT vendor as it requires a high level of expertise. Our IT Solutions Department, on the other hand, provides platforms used by all employees. Utilization of our vital business data is one of the challenges in company-wide IT solutions. It is possible to tell a vendor what we want to do and have them develop systems without sharing our internal data. However, this method requires a lot of time, and we find it difficult to keep up with changes in the business world and the increasing need for speed. That is why we decided to shift to in-house development for systems utilizing critical data that enhance our competitive edge.”
Construction and civil engineering for infrastructure and urban development.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Kajima's Internal virtual assistant is part of this use case:
Related implementations across industries and use cases
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Sluggish PCs once forced 17-minute helpdesk calls. An AI assistant now clears caches and resets sessions automatically.
Sluggish PCs once forced 17-minute helpdesk calls. An AI assistant now clears caches and resets sessions automatically.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Outsourcing restricted confidential data. A two-week sprint equipped teams with standardized workflows to securely build AI in-house.
A construction and civil engineering enterprise founded in 1840 provides centralized IT platforms for 20,000 employees across its domestic group companies.
The organization traditionally outsourced system development to external vendors, a slow process that prevented the integration of highly...
“At Kajima, each department outsources its systems development to an IT vendor as it requires a high level of expertise. Our IT Solutions Department, on the other hand, provides platforms used by all employees. Utilization of our vital business data is one of the challenges in company-wide IT solutions. It is possible to tell a vendor what we want to do and have them develop systems without sharing our internal data. However, this method requires a lot of time, and we find it difficult to keep up with changes in the business world and the increasing need for speed. That is why we decided to shift to in-house development for systems utilizing critical data that enhance our competitive edge.”
Construction and civil engineering for infrastructure and urban development.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Kajima's Internal virtual assistant is part of this use case:
Related implementations across industries and use cases
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Sluggish PCs once forced 17-minute helpdesk calls. An AI assistant now clears caches and resets sessions automatically.
Sluggish PCs once forced 17-minute helpdesk calls. An AI assistant now clears caches and resets sessions automatically.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.