Traditional tools couldn't link $50k spikes to features. Claude now maps spend to specific code, letting teams trace costs instantly.
A FinOps software provider helps enterprises manage millions in cloud spending across shared Kubernetes clusters, databases, and AI workloads.
Traditional tools provided only billing summaries, making it impossible to connect a $50,000 spike to the specific feature launch or customer surge...
AI platform for cloud cost management and FinOps intelligence.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Finance teams manually checked every receipt. AI now uses calendar context to auto-verify 60% of spend, leaving only exceptions.
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Root cause analysis was manual. AI agents now scan 30 production sites to isolate bottlenecks automatically.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.