Decades of data were buried in rigid keyword searches. Now, custom AI agents let the campus query millions of records in natural language.
A private New York research university with more than 20,000 students sought to modernize decades of accumulated institutional data across advising, fundraising, and campus operations.
The institution faced a dual challenge of updating a century-old classroom teaching model and untangling complex, undocumented data relationships....
“Whether there are 200 students or 15 students, the problem is always reaching every student, where they are. Some students believe the content is moving too fast, some too slow. You can't individualize it.”
Private research university offering undergraduate, graduate, and professional programs.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Syracuse University's Internal data search is part of this use case:
Related implementations across industries and use cases
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Resume edits consumed entire coaching sessions. With AI handling drafts, staff now focus purely on high-stakes career strategy.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Manual ethics checks held back research. Now, students and staff co-build AI agents to automate documentation and approvals.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.
Decades of data were buried in rigid keyword searches. Now, custom AI agents let the campus query millions of records in natural language.
A private New York research university with more than 20,000 students sought to modernize decades of accumulated institutional data across advising, fundraising, and campus operations.
The institution faced a dual challenge of updating a century-old classroom teaching model and untangling complex, undocumented data relationships....
“Whether there are 200 students or 15 students, the problem is always reaching every student, where they are. Some students believe the content is moving too fast, some too slow. You can't individualize it.”
Private research university offering undergraduate, graduate, and professional programs.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Syracuse University's Internal data search is part of this use case:
Related implementations across industries and use cases
Manual data cleaning and report drafting bottlenecked workflows. Now, faculty and staff use Copilot to synthesize research and speed admin.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Resume edits consumed entire coaching sessions. With AI handling drafts, staff now focus purely on high-stakes career strategy.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Manual ethics checks held back research. Now, students and staff co-build AI agents to automate documentation and approvals.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Admin tasks bogged down 364k consultants. Copilot now drives 40M+ actions, reclaiming $150M in time for client advisory.