Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Global agricultural machinery manufacturer with brands including Fendt and Massey Ferguson, operating in 140 countries with equipment ranging from tractors to precision agriculture systems.
Employees were already experimenting with AI on personal devices outside enterprise governance, creating shadow IT risk. Manufacturing quality and...
“This is not about experimenting with AI for its own sake—it’s about applying it where it matters most. Together with Microsoft, we’re building an AI foundation that helps AGCO move faster, reduce friction, and equip our teams to make better decisions for the farmers and customers we serve.”
Agricultural machinery and precision farming technology manufacturer.
Enterprise software, cloud infrastructure, and consumer electronics platform.
AGCO's Workflow automation is part of this use case:
Related implementations across industries and use cases
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Global agricultural machinery manufacturer with brands including Fendt and Massey Ferguson, operating in 140 countries with equipment ranging from tractors to precision agriculture systems.
Employees were already experimenting with AI on personal devices outside enterprise governance, creating shadow IT risk. Manufacturing quality and...
“This is not about experimenting with AI for its own sake—it’s about applying it where it matters most. Together with Microsoft, we’re building an AI foundation that helps AGCO move faster, reduce friction, and equip our teams to make better decisions for the farmers and customers we serve.”
Agricultural machinery and precision farming technology manufacturer.
Enterprise software, cloud infrastructure, and consumer electronics platform.
AGCO's Workflow automation is part of this use case:
Related implementations across industries and use cases
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.