Large volumes of business data, but slow, manual analysis.
OneMetric’s teams were working with large volumes of business data, but extracting meaningful insights often required manual analysis. Identifying KPI trends, spotting anomalies, and understanding performance changes could be time-consuming and require users to work across different views and datasets.
The goal was to make business intelligence faster, more intuitive, and more actionable without disrupting existing data and analytics workflows.
Before
×Insights required manual analysis
×Users worked across different views and datasets
×Spotting KPI changes and anomalies took time
The solution
AI-powered analysis, built into the BI workflow.
Nebula9 partnered with OneMetric to build an Agentic Business Intelligence platform that brings AI-powered analysis directly into the BI workflow.
Live in production. The Agentic BI Platform is deployed in production and supports OneMetric’s ongoing business intelligence and analytics workflows.
The platform uses specialized AI agents to analyze business data, investigate performance changes, and help users move from raw data to decision-ready insights.
Claude by Anthropic is used in production to turn business data and analytical findings into contextual insights, explanations, and decision-ready outputs.
Analyze business context
Interpret KPI changes and business performance signals.
Synthesize insights
Turn analytical results into clear, contextual explanations.
Support root-cause analysis
Help investigate the factors contributing to anomalies and performance changes.
Generate recommendations
Translate findings into potential next steps.
Generate executive outputs
Turn underlying analysis into concise, leadership-ready summaries.
Support human validation
Keep people involved in reviewing and validating important AI-generated outputs.
Product tour
See it in action.
Screens from the Agentic BI Platform, shown with demo data.
Dashboard. KPIs, AI-generated insights, and charts together in one view.
Insight. An anomaly explained: confidence score, likely cause, and a recommended action, with Accept, Reject, or Create Task.
KPI approval. New KPIs wait for a person to review and approve them before they are published to dashboards.
AI Copilot. Ask about a dashboard in plain language and get a summary with critical alerts and trends.
Executive report. A leadership-ready performance report generated from the data, with wins, risks, and critical actions.
Data sources. Connected data with a live data-quality score.
Key capabilities
What the platform does.
01KPI Intelligence
Monitor key business metrics and surface meaningful changes.
02Anomaly Detection
Identify unusual patterns and deviations automatically.
03Root-Cause Analysis
Investigate the factors driving performance changes.
04AI-Powered Insights
Use Claude to turn complex analytical results into clear, contextual explanations of what changed and why.
05Actionable Recommendations
Use Claude to translate analytical findings into potential next steps and recommendations.
06Interactive Analysis
Explore data and insights through natural-language interactions.
07Traceable Intelligence
Maintain context and supporting evidence behind insights.
08Human-in-the-Loop
Keep users involved in reviewing and validating important outputs.
How it works
From data to decisions.
The platform helps users move beyond simply seeing what happened to understanding why it happened and what they can do next.
01Business Data
02KPI Monitoring
03Anomaly Detection
04Root-Cause Analysis
05Recommendations
06Action
The impact at OneMetric
Measurable outcomes in production.
~85% fasterInsight generation
Teams can investigate KPI changes and understand likely causes in minutes instead of hours.
~80% lessManual analysis
AI agents handle the initial investigation while people review and validate important outputs.
Hours → minutesExecutive reporting
Leadership-ready summaries, risks, wins, and actions can be generated directly from the underlying analysis.
From reporting to AI-assisted business intelligence.
OneMetric moved beyond traditional reporting toward AI-assisted business intelligence, giving teams a more efficient way to explore data, identify issues, understand their causes, and turn insights into action.
What happened?→Why did it happen?→What should we do next?
Illustrative view of the workflow, not client data.
In their words
What OneMetric says about the work.
…always thought about the bigger workflow, not just individual features.
“Working with the Nebula9 team on our Agentic BI initiative has been a great experience. They took the time to understand how we actually use our data rather than simply building to the initial requirements.
The solution has made it much easier to explore data, spot anomalies, understand what’s driving them, and turn insights into action. The team was proactive throughout and always thought about the bigger workflow, not just individual features.”
Saurabh KumarProduct Manager, OneMetric
AI & Technology
Claude API · Business data sources · AI agents · KPI analysis · Anomaly detection · Root-cause analysis · Human-in-the-loop validation