Drafts bounced between analysts and managers for days; decks took weeks. Copilot reclaims those hours for the judgment clients pay for.
A global professional services firm of ~11,000 people delivering strategy, operations, and technology work to hospitals, health systems, universities, and commercial businesses.
Consultants lost hours to work requiring no expertise: hunting for information across email, calendars, and documents; building 200-slide client...
“It was a very intentional thing from our leadership of trying to be aggressive about driving the adoption throughout our firm of 11,000 people.”
Management consulting firm for healthcare, education, and financial services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Huron's Consultant productivity is part of this use case:
Related implementations across industries and use cases
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Weeks of scattered workshops to scope a single use case. An AI intake agent now delivers briefs, architecture, and prototypes in days.
Across 7,500 fuel stations, AI was stuck in tech teams. When VPs used Copilot openly and daily, skepticism broke. 1,300 employees followed.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Weeks of scattered workshops to scope a single use case. An AI intake agent now delivers briefs, architecture, and prototypes in days.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Fact-finding across years of dispute docs ran on keyword recall. Now critical answers surface mid-hearing, not after the witness steps down.
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.
Drafts bounced between analysts and managers for days; decks took weeks. Copilot reclaims those hours for the judgment clients pay for.
A global professional services firm of ~11,000 people delivering strategy, operations, and technology work to hospitals, health systems, universities, and commercial businesses.
Consultants lost hours to work requiring no expertise: hunting for information across email, calendars, and documents; building 200-slide client...
“It was a very intentional thing from our leadership of trying to be aggressive about driving the adoption throughout our firm of 11,000 people.”
Management consulting firm for healthcare, education, and financial services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Huron's Consultant productivity is part of this use case:
Related implementations across industries and use cases
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Weeks of scattered workshops to scope a single use case. An AI intake agent now delivers briefs, architecture, and prototypes in days.
Across 7,500 fuel stations, AI was stuck in tech teams. When VPs used Copilot openly and daily, skepticism broke. 1,300 employees followed.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Weeks of scattered workshops to scope a single use case. An AI intake agent now delivers briefs, architecture, and prototypes in days.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Fact-finding across years of dispute docs ran on keyword recall. Now critical answers surface mid-hearing, not after the witness steps down.
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.