Selling AI transformation required proving it internally first. A company-wide rollout wired Copilot into daily work across every function.
One of Japan's leading global technology companies, with more than 100,000 employees worldwide and a Customer Zero strategy requiring internal AI transformation to precede and prove its enterprise AI offerings to clients.
To maintain competitive standing as generative AI evolves and credibly sell AI transformation services, the company needed to embed AI deeply into...
“The first priority is to transform our core business processes around AI and make the work itself AI-enabled.”
IT services, consulting, and technology hardware provider.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Fujitsu's Employee productivity is part of this use case:
Related implementations across industries and use cases
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Routine admin bottlenecked teams navigating rapid FinTech shifts. Now, employees use Copilot to draft minutes and surface internal data.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Routine admin bottlenecked teams navigating rapid FinTech shifts. Now, employees use Copilot to draft minutes and surface internal data.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Selling AI transformation required proving it internally first. A company-wide rollout wired Copilot into daily work across every function.
One of Japan's leading global technology companies, with more than 100,000 employees worldwide and a Customer Zero strategy requiring internal AI transformation to precede and prove its enterprise AI offerings to clients.
To maintain competitive standing as generative AI evolves and credibly sell AI transformation services, the company needed to embed AI deeply into...
“The first priority is to transform our core business processes around AI and make the work itself AI-enabled.”
IT services, consulting, and technology hardware provider.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Fujitsu's Employee productivity is part of this use case:
Related implementations across industries and use cases
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Routine admin bottlenecked teams navigating rapid FinTech shifts. Now, employees use Copilot to draft minutes and surface internal data.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Routine admin bottlenecked teams navigating rapid FinTech shifts. Now, employees use Copilot to draft minutes and surface internal data.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.