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.
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Staff struggled to spot correlations across thousands of data points. Now, a multi-agent system answers voice queries in under 3 seconds.
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.
Routine VPN and payslip queries bottlenecked support. Now, embedded AI agents resolve basic requests in Teams, deflecting 65% of tickets.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
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.
Related implementations across industries and use cases
Staff struggled to spot correlations across thousands of data points. Now, a multi-agent system answers voice queries in under 3 seconds.
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.
Routine VPN and payslip queries bottlenecked support. Now, embedded AI agents resolve basic requests in Teams, deflecting 65% of tickets.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.