IR research meant sifting hundreds of SharePoint docs by hand. Now specialized agents route and synthesize it—26% faster, citations sharper.
An enterprise workflow software company with approximately 28,000 employees and its own AI platform, whose investor relations team relied on Microsoft 365 as its primary research environment, with data spread across SharePoint, Excel spreadsheets, and licensed external sources.
Analysts preparing market research had to manually search hundreds of SharePoint documents, review public and licensed websites, and perform Excel...
“With Copilot Studio, we're able to offer our employees an easy-to-use agentic development platform that also integrates nicely with our Microsoft 365 files and services.”
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
ServiceNow's Investor relations research is part of this use case:
Related implementations across industries and use cases
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
Engineers lost up to an hour digging through Jira and wikis. Now, an AI assistant instantly surfaces secure, attributed answers.
Senior marketers manually answered hundreds of reviews. Now, custom AI agents categorize feedback and draft tailored, on-brand replies.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Analysts were capped at 15 companies. AI agents cut alpha discovery from 12 months to two and generate reports 60% faster.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
IR research meant sifting hundreds of SharePoint docs by hand. Now specialized agents route and synthesize it—26% faster, citations sharper.
An enterprise workflow software company with approximately 28,000 employees and its own AI platform, whose investor relations team relied on Microsoft 365 as its primary research environment, with data spread across SharePoint, Excel spreadsheets, and licensed external sources.
Analysts preparing market research had to manually search hundreds of SharePoint documents, review public and licensed websites, and perform Excel...
“With Copilot Studio, we're able to offer our employees an easy-to-use agentic development platform that also integrates nicely with our Microsoft 365 files and services.”
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
ServiceNow's Investor relations research is part of this use case:
Related implementations across industries and use cases
Same work tracked in four disconnected tools. AI pulls live context from all of them—drafts land ready to sharpen, not start.
Engineers lost up to an hour digging through Jira and wikis. Now, an AI assistant instantly surfaces secure, attributed answers.
Senior marketers manually answered hundreds of reviews. Now, custom AI agents categorize feedback and draft tailored, on-brand replies.
Manual analysis of 9,000 firms held back research. Teams now build custom tools to automate workflows without waiting for IT support.
Analysts were capped at 15 companies. AI agents cut alpha discovery from 12 months to two and generate reports 60% faster.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.