Turn business questions into live data calls, structured analysis, charts, and decision-ready reports through one capability routing layer.
Business intelligence changes constantly. Revenue changes, competitors launch, markets move, customers churn, inventory shifts, and news changes the context. A BI agent that relies only on model memory or static dashboards is answering yesterday's questions — not today's.
Business questions rarely live in one system. A simple question such as "Why did sales slow down this week?" may require CRM data, order data, spreadsheet exports, market signals, news context, and visual reporting. Without access to the right capabilities, an AI agent can only guess.
QVeris gives BI agents a unified capability routing layer to discover, inspect, and call the right business data, market signals, analysis tools, and reporting capabilities — without hardcoding every data source.
Five layers of capabilities a business intelligence agent needs to go from question to decision-ready output.
The agent searches QVeris for the right capability based on the business question — CRM data, market signals, news, charting, or reporting tools.
The agent checks inputs, outputs, cost, latency, and examples before calling. No blind calls to unknown data sources or analysis tools.
The agent executes the selected capability and receives structured output — revenue figures, market context, competitor signals, or chart data.
The agent combines data from multiple sources into a coherent analysis — cross-referencing internal metrics with external signals.
The agent generates an executive-ready summary, chart, or workflow output with recommended next actions.
How a BI agent uses QVeris to go from "Why did revenue drop?" to an executive decision brief.
Pull weekly revenue by region, compare EMEA against previous weeks, segment by product, channel, and customer type through connected data capabilities.
Check relevant market and industry news through external signal capabilities. Pull competitor updates if available through market intelligence tools.
Generate a chart showing the trend using chart generation capabilities. Summarize likely drivers from the combined data.
Suggest follow-up questions and next actions. Generate an executive-ready decision brief for human review.
EMEA revenue declined 12.4% week over week, driven primarily by lower enterprise renewals and weaker conversion in paid acquisition channels.
This is an illustrative example of BI agent output. It does not represent real company data, financial results, or guaranteed business analysis. All outputs should be reviewed by qualified humans before business decisions.
Six business intelligence workflows powered by QVeris capabilities.
Generate daily or weekly executive summaries with live data, trend charts, and variance explanations — not static screenshots.
Analyze revenue movements by region, product, channel, and segment. Cross-reference with external market signals for context.
Monitor competitor updates, pricing changes, product launches, and market positioning through discoverable research capabilities.
Track industry trends, macro indicators, regulatory changes, and sector movements that impact business performance.
Segment churn data, identify at-risk accounts, and cross-reference with product usage, support tickets, and NPS signals.
Turn structured data and analysis into presentation-ready summaries, charts, and narrative briefs for stakeholders.
Dashboards show what happened. BI agents should help explain what happened, fetch the missing context, and recommend what to do next.
| Requirement | Static dashboards | QVeris-powered BI agent |
|---|---|---|
| Data access | Predefined queries and fixed data sources | ✓Dynamic capability discovery based on the business question |
| Context | Limited to connected data sources | ✓Can pull external market signals, news, and competitor context |
| Analysis | Pre-built charts and reports | ✓Combines internal data with external signals for richer analysis |
| Explanation | Shows variance but does not explain why | ✓Generates structured explanations with potential drivers and recommendations |
| Adaptability | New questions require new dashboards | ✓Agents can discover new capabilities dynamically as questions evolve |
Multiple integration paths for production systems, data apps, and agent clients
How to instruct a BI agent to use QVeris for business intelligence workflows.
Developers building intelligent BI agents that need live data, external signals, and reporting capabilities beyond model context.
Teams moving from static dashboards to agent-driven analysis that explains variance, fetches context, and recommends actions.
Teams analyzing revenue movements, pipeline health, conversion trends, and churn signals with richer external context.
Teams needing structured competitive and market intelligence to inform positioning, pricing, and product decisions.
Teams building automated reporting workflows that combine internal financial data with market and industry context.
Teams building analytics copilots, reporting agents, or internal BI tools on top of existing data infrastructure.
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Let your AI agent discover the right data, call the right capabilities, and generate decision-ready business intelligence.
Discover. Inspect. Call. Analyze. Report.
