Bespoke builds slowed AI scaling. A standardized framework now automates 65% of IT tickets and 100% of select order workflows.
A global IT services provider and one of the largest Microsoft Operator Connect partners, employing over 10,000 people.
The company needed to scale AI implementations for clients but struggled to balance rapid deployment with strict enterprise security and integration...
“We needed an agentic AI solution that was fast to deploy, seamlessly integrated with our existing tech stack, and highly secure. As a service provider, our priority is enabling AI use cases that maximize efficiency, automation, and performance for our clients. That’s why we built our agentic AI services using Microsoft Copilot Studio and Power Platform—a move that’s already delivering significant results.”
NTT DATA's Business process automation is part of this use case:
Global IT services and consulting provider for digital transformation and cloud.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Corporate staff struggled to write AI prompts. SCSK bypassed this with 3 custom agents that automate daily workflows using Teams data.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
7,000 weekly tickets delayed by manual notes. AI now drafts instant summaries, slashing resolution time by 47%.
Holiday bookings took an hour. AI agents now automate discovery and confirmation, cutting conversion to under 15 minutes.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Bespoke builds slowed AI scaling. A standardized framework now automates 65% of IT tickets and 100% of select order workflows.
A global IT services provider and one of the largest Microsoft Operator Connect partners, employing over 10,000 people.
The company needed to scale AI implementations for clients but struggled to balance rapid deployment with strict enterprise security and integration...
“We needed an agentic AI solution that was fast to deploy, seamlessly integrated with our existing tech stack, and highly secure. As a service provider, our priority is enabling AI use cases that maximize efficiency, automation, and performance for our clients. That’s why we built our agentic AI services using Microsoft Copilot Studio and Power Platform—a move that’s already delivering significant results.”
NTT DATA's Business process automation is part of this use case:
Global IT services and consulting provider for digital transformation and cloud.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Corporate staff struggled to write AI prompts. SCSK bypassed this with 3 custom agents that automate daily workflows using Teams data.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
7,000 weekly tickets delayed by manual notes. AI now drafts instant summaries, slashing resolution time by 47%.
Holiday bookings took an hour. AI agents now automate discovery and confirmation, cutting conversion to under 15 minutes.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.