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
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
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
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
Each affiliate ran AI in isolation—what worked never spread. One sprint produced 27 agents, cutting decisions from two weeks to three days.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.