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.”
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.
Siloed data bottlenecked equipment repairs. Now, engineers scan a QR code to let AI instantly correlate telemetry and technical manuals.
One IT agent per 1,000 staff battled "tab chaos." AI now resolves 90% of requests autonomously, freeing humans for high-value work.
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.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Agents sifted through notes on 1M annual tickets. AI now drafts resolutions and summaries, saving 160,000 hours of work per year.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
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.”
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.
Siloed data bottlenecked equipment repairs. Now, engineers scan a QR code to let AI instantly correlate telemetry and technical manuals.
One IT agent per 1,000 staff battled "tab chaos." AI now resolves 90% of requests autonomously, freeing humans for high-value work.
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.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Agents sifted through notes on 1M annual tickets. AI now drafts resolutions and summaries, saving 160,000 hours of work per year.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.