Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
A top global exporter of high-efficiency condensing boilers and water heaters managing complex manufacturing operations across 47 countries.
Fragmented data and inconsistent processes across the expanding business limited operational visibility and slowed decision-making. Employees spent...
“We concluded that AI-driven management innovation was the answer to closing this gap. And we selected Microsoft as the most suitable partner to bring this innovation to life.”
Manufacturer of condensing boilers, water heaters, and HVAC systems.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KD Navien's Enterprise process automation is part of this use case:
Related implementations across industries and use cases
Doubling revenue buried staff in admin. Bots now automate invoices and extract CAD specs, saving 10,000 hours annually.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
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.
Filling 16 fields per order bottlenecked staff. Now, they type requests in plain English via ChatGPT, cutting process time by 50%.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
A top global exporter of high-efficiency condensing boilers and water heaters managing complex manufacturing operations across 47 countries.
Fragmented data and inconsistent processes across the expanding business limited operational visibility and slowed decision-making. Employees spent...
“We concluded that AI-driven management innovation was the answer to closing this gap. And we selected Microsoft as the most suitable partner to bring this innovation to life.”
Manufacturer of condensing boilers, water heaters, and HVAC systems.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KD Navien's Enterprise process automation is part of this use case:
Related implementations across industries and use cases
Doubling revenue buried staff in admin. Bots now automate invoices and extract CAD specs, saving 10,000 hours annually.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
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.
Filling 16 fields per order bottlenecked staff. Now, they type requests in plain English via ChatGPT, cutting process time by 50%.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.