Security-first framing drained enthusiasm. Kohler pivoted to 'lead with yes'—C-suite modeling, 200 champions—and adoption followed.
A 153-year-old manufacturer of premium kitchen and bath products with more than 10,000 employees spanning manufacturing, IT, finance, marketing, supply chain, and operations.
Scaling AI adoption across a large, traditional manufacturing workforce required a fundamentally different playbook from a standard technology...
“We have over 3,000 agents and hundreds that are active on a daily basis. Microsoft 365 Copilot is a game-changer, helping us make informed decisions faster and answer questions quicker. There is so much excitement about where this is going. KOHLER’s AI journey has just started.”
Manufacturer of kitchen and bath products, engines, and power systems.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Kohler's Employee productivity is part of this use case:
Related implementations across industries and use cases
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Plant workers dug through scattered systems for best practices — inconsistent site to site. AI agents now surface answers on demand.
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Security-first framing drained enthusiasm. Kohler pivoted to 'lead with yes'—C-suite modeling, 200 champions—and adoption followed.
A 153-year-old manufacturer of premium kitchen and bath products with more than 10,000 employees spanning manufacturing, IT, finance, marketing, supply chain, and operations.
Scaling AI adoption across a large, traditional manufacturing workforce required a fundamentally different playbook from a standard technology...
“We have over 3,000 agents and hundreds that are active on a daily basis. Microsoft 365 Copilot is a game-changer, helping us make informed decisions faster and answer questions quicker. There is so much excitement about where this is going. KOHLER’s AI journey has just started.”
Manufacturer of kitchen and bath products, engines, and power systems.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Kohler's Employee productivity is part of this use case:
Related implementations across industries and use cases
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Plant workers dug through scattered systems for best practices — inconsistent site to site. AI agents now surface answers on demand.
Routine drafting and reports ate hours each week; many feared AI. Structured training with champions turned fear into genuine advocacy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.