Engineers manually scoured dashboards to investigate alerts. Now, they query an AI agent to pinpoint root causes and surface exact fixes.
A global manufacturing enterprise manages a highly complex IT environment containing approximately 550 Microsoft Azure resources within a single architectural monolith.
Site reliability engineering teams were inundated with up to 40 daily performance alerts. Investigating these incidents required manually navigating...
“My vision for the SRE team is to empower them to focus on what truly matters, reducing the time spent on determining root causes. This is where I believe the SRE Agent holds tremendous potential, paving the way for a more efficient and impactful workflow.”
Ecolab's Incident response is part of this use case:
Water, hygiene, and infection prevention services for global industrial markets.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
One IT agent per 1,000 staff battled "tab chaos." AI now resolves 90% of requests autonomously, freeing humans for high-value work.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Engineers manually scoured dashboards to investigate alerts. Now, they query an AI agent to pinpoint root causes and surface exact fixes.
A global manufacturing enterprise manages a highly complex IT environment containing approximately 550 Microsoft Azure resources within a single architectural monolith.
Site reliability engineering teams were inundated with up to 40 daily performance alerts. Investigating these incidents required manually navigating...
“My vision for the SRE team is to empower them to focus on what truly matters, reducing the time spent on determining root causes. This is where I believe the SRE Agent holds tremendous potential, paving the way for a more efficient and impactful workflow.”
Ecolab's Incident response is part of this use case:
Water, hygiene, and infection prevention services for global industrial markets.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
One IT agent per 1,000 staff battled "tab chaos." AI now resolves 90% of requests autonomously, freeing humans for high-value work.
Scouring foreign technical sources took months. AI now translates and analyzes materials in minutes.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.