Retool
Feature prioritization
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
- Classifier accuracy increased from 72% to 95%
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
A global observability platform enables organizations to monitor critical systems by processing millions of daily data points across metrics, logs, and traces.
Extracting insights required deep technical expertise to write complex queries and build dashboards, effectively locking data away from non-technical...
“Grafana's AI evolution progressed in stages. Where we started with traditional methods to forecast and detect outliers, we rapidly moved into the GenAI space to provide auto-summaries for incidents or explain flame graphs. These tasks were mostly single prompt, single action, single outcome.”
Open source observability platform for monitoring, visualization, and data analysis.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Grafana Labs's System monitoring assistant is part of this use case:
Related implementations across industries and use cases
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
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.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
A global observability platform enables organizations to monitor critical systems by processing millions of daily data points across metrics, logs, and traces.
Extracting insights required deep technical expertise to write complex queries and build dashboards, effectively locking data away from non-technical...
“Grafana's AI evolution progressed in stages. Where we started with traditional methods to forecast and detect outliers, we rapidly moved into the GenAI space to provide auto-summaries for incidents or explain flame graphs. These tasks were mostly single prompt, single action, single outcome.”
Open source observability platform for monitoring, visualization, and data analysis.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Grafana Labs's System monitoring assistant is part of this use case:
Related implementations across industries and use cases
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
Rapid code changes left documentation outdated for weeks. An AI agent now monitors every commit and auto-generates PRs to fix discrepancies.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
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.