Q

2.0

๐Ÿ“ˆ AI BI Specialist Narratix ยท GenBI Report Canvas ยท Auto-Narrative

Dashboards that tell stories. Reports that drive action.

Drag. Drop. Done. Build a dashboard from any data product, click Execute, and get a full executive narrative โ€” summary, insights, cross-chart correlations, recommended actions, all auto-generated.

Traditional BI tools โ€” Tableau, Power BI, Looker โ€” show you charts. You're on your own to figure out what they mean. xAQUA BI does the reading for you. Drag charts and metrics from data products, hit Execute, and Narratix returns a complete data story with trends, findings, correlations across charts, and prioritised recommendations.

No coding. No SQL. No "can you make a dashboard for me?" ticket. Just ask, drag, drop โ€” and read the story your data is telling.

๐Ÿ“ˆ
Ask the BI Specialist
Narrative Reports ยท Powered by Narratix
Online
๐Ÿ‘ค
Build me a network alerts dashboard from our site monitoring data and tell me what's going on.
๐Ÿ“ˆ
Built 6 charts on a 3ร—2 grid. Executed in 1.28s. Key finding: High Packet Loss drives 39.9% of all alerts485 outlier.

Cross-chart correlation: Healthcare sites have highest latency + packet loss combinedsystemic risk.

Generated 7 prioritised actions, 5 key takeaways for leadership. full data story ready
๐Ÿ’ฌ
BI reports that write themselves โ€” at enterprise and government scale
Minutes
Dashboard to Insight
0
Lines of Code
6+
Narrative Sections
Auto
Cross-Chart Correlation
3ร—5
Custom Grid Layouts
The BI Reality

A chart is not an insight.
A dashboard is not a decision.

Traditional BI tools stop at the chart. You get a beautiful bar graph and ten minutes of squinting to figure out what it means. xAQUA BI doesn't stop at the chart โ€” it tells you what changed, why it matters, and what to do about it. Executive summary, cross-chart correlations, prioritised actions โ€” all generated the moment you hit Execute.

Traditional BI
Pretty charts. No story.
  • Tableau, Power BI, Looker โ€” build the dashboard yourself, pixel by pixel.
  • Charts render. Numbers show. Meaning? That's your job to figure out.
  • No cross-chart correlation. Each tile is its own island.
  • No recommended actions. No priorities. No "so what."
  • Executives squint, ask the analyst, wait three days for explanation.
โ†’
xAQUA BI Specialist
Charts with the narrative built in.
  • Drag charts from any data product onto a canvas. Click Execute.
  • Narratix returns: executive summary, trends, critical findings, correlations.
  • Cross-chart insights โ€” the AI sees patterns across all tiles at once.
  • Prioritised actions with HIGH/MEDIUM/LOW tags and expected impact.
  • Executives get the story, not a puzzle. Decisions happen in minutes.
The BI Reality

Dashboards are everywhere. Insights are rare.

Every org has more dashboards than analysts. Most go unread. The ones that get read raise more questions than they answer. The BI team is buried in requests that look more like interpretation homework than analysis.

๐Ÿ“Š
Dashboard Sprawl

Your org has 400 dashboards. Nobody can tell you which ones matter. Half are broken. A third are duplicates. The rest are used by one person who built them and then left. Every one of them shows charts โ€” none of them tell a story.

"We have more dashboards than employees. I don't know which one to trust."
๐Ÿงฉ
Charts Without Context

A bar chart drops 18% in Q4. Is that bad? Is that seasonal? Is that the entire story, or is it hiding a worse regional collapse? Traditional BI won't tell you. You need an analyst to interpret โ€” and the analyst is booked for the next two weeks.

"Our dashboards show me numbers. I need someone to tell me what they mean."
๐ŸŽฏ
Missing the "So What"

Executives don't want charts. They want decisions. What changed? What matters? What should we do? Traditional BI stops at the visualization. The translation from chart to recommended action still happens in an analyst's head โ€” if it happens at all.

"By the time the analyst gets back to me with the interpretation, the moment to act is gone."
How the BI Specialist Works

Four simple steps. Complete data story.

Compose a dashboard with drag-and-drop. Execute. Get the narrative. Share with anyone. No SQL, no scripts, no waiting for the BI team.

๐Ÿงฉ
1
Compose
Drag & drop canvas
Open Report Canvas. Pick your grid (3ร—3, 5ร—4, anything). Drag charts, metrics, and KPIs from any data product onto the grid.
โ–ถ๏ธ
2
Execute
One click, full run
Narratix runs every chart against live data, caches results with a TTL, and kicks off the narrative engine across all tiles at once.
๐Ÿ“–
3
Narrate
AI-generated story
Returns executive summary, overall trends, critical findings, cross-chart correlations, business recommendations, and prioritised actions โ€” as a complete data story.
๐Ÿ“ฌ
4
Share
Publish or schedule
Share with anyone, schedule recurring runs, export to PDF, embed in portals, or subscribe via email. Governance inherited โ€” viewers only see what their role permits.
๐Ÿ“ˆ Most BI tools answer "what does the data show?" xAQUA BI answers "what does it mean and what should we do?"
๐Ÿ“ˆ Narratix ยท One Module. Eight Capabilities.

Everything a modern BI team
needs โ€” with the narrative.

All eight capabilities operate on the same semantic layer, the same data products, the same governance. Shared across all six xAQUA agents.

๐Ÿงฉ
Report Canvas

Drag-and-drop dashboard builder. Configurable grid (rows, columns, gap, cell height). Drop charts and metrics from any data product. No code, no SQL.

โ— live
๐Ÿ“š
Chart Library

Every chart from every data product โ€” bar, pie, line, violin, heatmap, treemap, scorecard. Search, filter, drag. Thirteen assets, thirty-seven charts out of the box.

โ— catalogued
๐Ÿ“–
Narrative Engine

AI-generated executive synthesis: overall trends, critical findings, cross-chart correlations, business recommendations, key takeaways for decision makers.

ai-generated
๐Ÿ’ก
Per-Chart Data Stories

Every chart gets its own story โ€” key metrics summary, plain-English insights, recommended next steps. Numbers in context, not in isolation.

ai-generated
๐ŸŽฏ
Recommended Actions

Prioritised action list with HIGH/MEDIUM/LOW tags, expected impact, and suggested owners. Decisions ready to be made, not just suggested.

prioritised
๐Ÿ”„
Execution & Cache

One-click execute. Configurable Cache TTL. Refresh on demand. See last-run time, expiry, duration. Recent executions history with status tags.

continuous
๐Ÿ“ค
Share, Export & Subscribe

Share with teammates. Export to PDF. Schedule recurring runs. Pending invites, sharing activity, expiring shares โ€” all tracked in one dashboard.

governed
๐Ÿ›ก๏ธ
Governance & Trust

Inherits PII masking, row-level security, and lineage from the shared semantic layer. Viewers only see what their role permits. Every number has provenance.

inherited
From Canvas to Story
Drag, drop, execute โ€” the story writes itself.

Start with an empty canvas. Drop charts from the library. Click Execute. Get a complete executive narrative with trends, correlations, and prioritised actions.

Report Builder Canvas ยท Ameriband Site Network and Alert Analysis
Save Report
๐Ÿ“š Chart Library
๐Ÿ“Š
Total Alerts by Type
๐Ÿฅ
Sites by Severity
๐Ÿ“ˆ
Signal Strength
๐Ÿฅง
Alert Distribution
๐Ÿ“‰
Latency by Region
๐Ÿ“Š
Client Counts
Total Alerts by Type
Site Counts by Type
Alerts by Severity
Signal Strength
Latency by Region
+ drop chart
โš™ Properties
Grid
3 ร— 2
Cache TTL
36000 s
Cell Height
200 px
Status
โ— Active
โ†“ click Execute โ†“
๐Ÿ“– Executive Synthesis Report auto-generated
Executive Summary
Across six analyzed charts, several clear patterns emerge regarding network health, alert distribution, and site performance. The vast majority of network alerts are concentrated in three categories โ€” high packet loss, high channel utilization, and high latency โ€” accounting for over 87% of all alerts. High packet loss alone represents nearly 40% of total alerts.
Cross-Chart Correlation ยท Insight
Sites with better network performance (Retail and Hospitality) correspond to lower alert severity. Healthcare sites underperform in both latency and packet loss โ€” suggesting targeted infrastructure weakness rather than random failure.
Recommended Actions
Investigate high packet loss incidents โ€” 485 outlier events require immediate root-cause analysis. Address channel utilization to prevent congestion. Review signal strength in weak-signal areas.
High High Medium Medium Low
Key Takeaways for Decision Makers
Network reliability is compromised by recurring high packet loss, with a particularly severe incident requiring urgent attention. Healthcare sites are at heightened risk โ€” prioritise for remediation. Uniform client distribution suggests issues stem from infrastructure, not overloading.

Every execution returns executive summary, cross-chart correlations, prioritised actions, and decision-maker takeaways โ€” auto-generated by Narratix.

See It Work

Same Specialist. Every audience.

From a regional manager asking "what's going on this week" to a CEO reading the quarterly board deck โ€” same agent, same canvas, same data story.

๐Ÿ’ผ Business User
๐Ÿ“Š BI Analyst
๐ŸŽฏ Executive
AI BI Specialist ยท Narratix ยท Report Canvas
๐Ÿ’ผ
Priya Desai
Regional Operations Manager
๐Ÿ‘ค
Priya asks
Build me a weekly operations dashboard for my three sites and tell me what's going on.
๐Ÿ“ˆ
Narratix builds & narrates
Composed a 2ร—3 dashboard โ€” uptime, alerts, tickets, SLA, top incidents, client volume. Executed against last-7-day data 1.1s.

What's going on: Site B alert volume up 34% WoW. Mostly packet-loss events โ€” same signature as the networking issue from three weeks ago. Site A and C nominal.

Recommended: Escalate Site B packet-loss to the network team today. HIGH priority โœ“ Built in 14s ยท executed in 1.1s ยท narrative ready
๐Ÿ“Š
Marcus Chen
Senior BI Analyst ยท IT Operations
๐Ÿ‘ค
Marcus asks
Compose a site network and alert analysis dashboard โ€” 6 charts: alerts by type, sites by severity, signal strength distribution, latency by region, client counts, packet-loss outliers. Execute and give me the full executive synthesis.
๐Ÿ“ˆ
Report Canvas + Narrative Engine
Dashboard composed on a 3ร—2 grid. Executed across all 6 charts in 1.28s against 1,775 alerts across 50 sites.

Narrative generated:
โ€ข Executive summary · 6 paragraphs
โ€ข Cross-chart correlations · Healthcare = high latency + packet loss (systemic)
โ€ข 7 recommended actions · 2 HIGH, 3 MEDIUM, 2 LOW prioritised
โ€ข 5 key takeaways for decision makers leadership-ready

Every chart also has its own data story: key metrics, insights, per-chart recommendations. โœ“ 6 charts executed ยท full synthesis in 1.28s ยท shareable report live
๐ŸŽฏ
Dana Walker
CEO ยท Monday 7am board prep
๐Ÿ‘ค
Dana asks
I'm presenting to the board in 90 minutes. Give me the Q4 revenue narrative โ€” what happened, why, what we're doing about it. I don't want charts, I want the story.
๐Ÿ“ˆ
Narratix answers
Pulled the Q4 Revenue dashboard executed this morning. Here's the story:

What happened: Revenue $4.2M, up 12% YoY. Enterprise segment up 23%. SMB down 8% contributor to margin drop.

Why: Cross-chart correlation โ€” SMB decline aligns with support ticket SLA miss in weeks 6-10. Customer satisfaction dropped in parallel. Not a pricing or product issue.

What we're doing: 3 HIGH-priority actions already underway. Support team headcount +5, SLA tightened, SMB win-back campaign launched. โœ“ Full board narrative ยท export to slides ยท ready to present

Different audience. Different question. Same narrative engine.

๐Ÿ“ˆ
Meet the AI BI Specialist

Dashboards. With the story built in.

The AI BI Specialist is your narrative-first BI agent. Every report, every dashboard, every KPI rollup ships with a complete executive synthesis โ€” not just charts, but what they mean and what to do.

It doesn't just visualise. It reads across tiles, finds correlations no single chart reveals, prioritises actions by impact, and delivers a leadership-ready story in the same motion. Powered by Narratix on the shared semantic layer.

๐Ÿงฉ Drag-and-drop canvas ๐Ÿ“– Auto-narrative engine ๐ŸŽฏ Prioritised actions ๐Ÿ›ก๏ธ Governance inherited
Why It's Different

Not a dashboard tool. Not a report builder.
A narrative BI agent.

Tableau draws charts. Power BI models data. Looker queries the warehouse. The xAQUA BI Specialist does all of that โ€” and then reads the result for you.

๐Ÿ“–
From Chart to Narrative, in One Pass.
Most BI tools stop at the visualization. Narratix runs the charts, reads across them, finds patterns, prioritises actions, and returns a complete executive synthesis โ€” all from the same Execute click.
๐Ÿ”—
Cross-Chart Correlation, Not Tile-by-Tile.
Traditional BI treats each chart as an island. Narratix's narrative engine reads all tiles together โ€” finding the relationships between packet loss and site type, revenue and support SLA, churn and feature adoption. That's where the real insight lives.
๐Ÿ›ก๏ธ
Governance Inherited, Not Bolted On.
Every chart, every metric, every generated narrative respects PII classification, row-level security, and lineage from the shared semantic layer. A viewer can't see what their role can't see โ€” by design.
๐Ÿ“ˆ
BI Specialist
Narratix ยท 8 caps
๐ŸงฉReport Canvas
๐Ÿ“šChart Library
๐Ÿ“–Narrative
๐Ÿ’กPer-Chart Story
๐ŸŽฏActions
Exoskeleton for BI Teams โ€” Not a Replacement

Your BI team stops being
the org's interpretation service.

The AI BI Specialist takes the routine 80% โ€” building dashboards, running queries, writing interpretation summaries, scheduling reports โ€” so your BI humans can spend their time on the 20% that needs judgement: framing the right question and challenging the narrative.

"Our BI team stopped being ticket-takers. They're now the trusted narrators of the business."

โ€” xAQUA BI Specialist customer ยท dashboard backlog down 80%
Unblocks the Queue
Business users compose their own dashboards and get narrative insights in minutes โ€” instead of queueing for a week. Your BI team stops being the org's dashboard-making factory.
Amplifies Every Report
Every dashboard built becomes a narrative asset โ€” executive summaries, correlations, actions. Reports that used to need a human analyst to present now present themselves.
Scales Without Hiring
You have 5 BI analysts and 5,000 employees who want dashboards. Hiring won't fix that. The BI Specialist gives every employee self-serve narrative BI โ€” and your analysts finally get to do strategy.
Built For

Every role that needs a story, not a chart.

๐Ÿ’ผ
Business Users
Can I build my own dashboard without waiting for BI?
Drag charts from data products, execute, get the narrative. Self-serve dashboards with built-in interpretation. No ticket. No Monday-morning wait.
๐Ÿ“Š
BI Analysts
How do I publish reports that don't need me to explain them?
Every report ships with executive summary, correlations, prioritised actions. Your reports defend themselves โ€” you get back to strategy instead of walkthroughs.
๐ŸŽฏ
Executives
Can I get the story, not the charts?
Executive summary, key takeaways, prioritised actions โ€” at the top of every report. Decision-ready, not decoding-required.
๐Ÿฅ
Ops & Field Teams
What's different this week vs last โ€” and what should I do?
Scheduled reports with auto-generated "what changed, what matters" summaries. Tactical narratives delivered to inbox, portal, or mobile.
๐Ÿ“‹
Board & Investors
Can I get a board-ready narrative without a consultant?
Quarterly reports export to polished PDF with full narrative โ€” trends, findings, actions. Consultant-grade output, zero consultant hours.
๐Ÿ›๏ธ
Public Sector
Can I publish this report inside an air-gapped environment?
Private VPC, FedRAMP-aligned, air-gap ready. No data leaves your tenant โ€” every dashboard, narrative, and shared report stays inside your boundary.
โ€” Works With Your Stack โ€”
Sits on your data products and semantic layer.
The BI Specialist reads from the same data products the Analyst publishes and the Governance agent certifies. No duplicate modelling. No separate metrics layer. Every chart respects the same definitions, same security, same lineage as the rest of your xAQUA stack.
Data Products Semantic Layer Snowflake Databricks MotherDuck PostgreSQL BigQuery Tableau Embed Power BI Embed PDF Export Email / Slack + more
Part of a Bigger Team

The BI Specialist is one of six agents.

All operating on the same semantic layer. All part of your AI Data Team.

๐Ÿ“ˆ
AI BI Specialist
Reports that tell stories.
Narratix
๐Ÿง 
AI Data Steward
Your catalog, alive.
SemantIQ
๐Ÿ›ก๏ธ
AI Data Governance
Quality ยท Privacy ยท Trust
Qualix ยท SenseMask ยท Entity 360
๐Ÿ“Š
AI Data Analyst
Ask. Prepare. Analyze. Act.
Athyna ยท Reeve ยท ConverseDataIQ
โš™๏ธ
AI Data Engineer
Build. Automate. Run.
Composer
๐Ÿ”ฎ
AI Data Scientist
Point. Click. Predict.
ClickML
Ready to see dashboards that read themselves?

Your BI team. On narrative autopilot.

See how the AI BI Specialist turns drag-and-drop dashboards into executive narratives โ€” with cross-chart correlations, prioritised actions, and key takeaways. Live in weeks. Private by default. Works on the data products you already have.