Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
A technology incubation engine's platform engineering team manages complex, distributed cloud-native software environments across multiple heterogeneous systems.
Engineers faced constant context-switching to fulfill routine developer requests for access management and infrastructure provisioning, which often...
Networking, security, and IT infrastructure for enterprise digital operations.
Framework and developer platform for building LLM-powered applications.
Cisco's Internal developer support is part of this use case:
Related implementations across industries and use cases
Fixing defects in massive C++ systems took weeks. AI agents now run autonomous compile-test-fix loops, resolving issues in hours.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
A technology incubation engine's platform engineering team manages complex, distributed cloud-native software environments across multiple heterogeneous systems.
Engineers faced constant context-switching to fulfill routine developer requests for access management and infrastructure provisioning, which often...
Networking, security, and IT infrastructure for enterprise digital operations.
Framework and developer platform for building LLM-powered applications.
Cisco's Internal developer support is part of this use case:
Related implementations across industries and use cases
Fixing defects in massive C++ systems took weeks. AI agents now run autonomous compile-test-fix loops, resolving issues in hours.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.