Customers sifted through marketing pages for specs. AI agents now interpret intent to surface technical data, ending dead-end searches.
A global technology leader with 300,000 employees operating in 130 countries, managing complex product data across nearly 20 interconnected websites and ecommerce portals.
Customers struggled to navigate restrictive keyword searches, often sifting through pages of marketing content to find specific technical...
“Users told us that they often have to sift through pages of marketing content just to find technical specifications, which slows them down. We knew that there must be something better.”
Industrial automation, smart infrastructure, and energy technology provider.
Cloud computing platform and on-demand infrastructure services.
Siemens's Website search is part of this use case:
Related implementations across industries and use cases
Teams kept rebuilding agents others had already built—no shared standard, no way to find them. A mesh gave every agent a discoverable home.
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Critical know-how was retiring with veteran engineers. Now, AI agents turn expert videos into instant, searchable guidance for new hires.
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.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Customers sifted through marketing pages for specs. AI agents now interpret intent to surface technical data, ending dead-end searches.
A global technology leader with 300,000 employees operating in 130 countries, managing complex product data across nearly 20 interconnected websites and ecommerce portals.
Customers struggled to navigate restrictive keyword searches, often sifting through pages of marketing content to find specific technical...
“Users told us that they often have to sift through pages of marketing content just to find technical specifications, which slows them down. We knew that there must be something better.”
Industrial automation, smart infrastructure, and energy technology provider.
Cloud computing platform and on-demand infrastructure services.
Siemens's Website search is part of this use case:
Related implementations across industries and use cases
Teams kept rebuilding agents others had already built—no shared standard, no way to find them. A mesh gave every agent a discoverable home.
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Critical know-how was retiring with veteran engineers. Now, AI agents turn expert videos into instant, searchable guidance for new hires.
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.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.