Your AI data team

Put an AI data team on every business question.

Model your data, find out what changed, forecast what comes next, and build the charts and dashboards your team and customers use — on your data, inside your permissions.

∞Retail performance8 markets · governed sales datasetJan – Jun 2026All regions✦ Drafted by your AI data teamJune revenue$4.36M▲ 28.2% vs JanOrders13,840▲ 6.4% vs MayGross margin30.8%▲ 0.8 pts vs MayRepeat customers63%▲ 3 pts vs MayWhere revenue comes fromJune · USDWest$1.76MCentral$1.16MEast$1.44MANALYSTWhy is the West ahead?California and Washington drovemost of the gain, led by electronics.See the evidence →What customers buyShare of revenue$4.36MJune revenueElectronics36%Home29%Outdoors23%Other12%Revenue trendForecast Jul – SepJanFebMarAprMayJunJulAugSepWhen customers buyOrders by hourMonTueWedThuFriSatSun8a12p4p7pTop productsJuneSmart speakers$412KPatio sets$356KAir fryers$298KTrail bikes$241KDesk lamps$176K
Example data in an InfuseBI dashboard drafted by the AI data team.

Why InfuseBI

Dashboards show what happened. Your team still has to prepare the data, ask why, plan what comes next, and share the answer. InfuseBI gives you an AI data team for every one of those jobs — using your data, inside your permissions, with work you can review before anyone acts on it.

Meet your AI data team

From raw tables to the dashboard your customers use.

  1. For the data team

    Data Modeler

    Pick the tables. It links them, names the fields, and suggests the measures, then checks the result before anyone uses it.

  2. For finance and operations

    Analyst

    Ask why a number moved. It splits the change into drivers and shows the evidence behind every figure.

  3. For planning

    Data Scientist

    Forecasts, segments, and models with an honest range, and a method you can open and check.

  4. For everyday reporting

    Composer

    Ask for a chart, pivot, or report and get it straight from governed data.

  5. For leadership

    Dashboard Agent

    One prompt drafts a complete dashboard. Nothing is published until you review it.

  6. For a polished finish

    Designer

    Restyle charts and dashboards in plain words: colours, labels, formats, and layout.

  7. For SaaS and customer portals

    Inside your product

    Put the same work inside your app or portal. Each customer sees only their own data.

What your AI data team can do

Eight ways your AI data team puts data to work.

  • 01Prepare

    Model your data with AI

    Pick the tables. AI links them and suggests the measures, with no SQL. Every change is checked before it goes live.

    Learn more about prepare
  • 02Investigate

    Find out why a number moved

    Break a change into the drivers behind it — product, region, price, volume, returns — with the evidence attached.

    Learn more about investigate
  • 03Forecast

    Plan with an honest range

    Project demand or revenue with uncertainty bands, and compare the model against a simpler challenger before you trust it.

    Learn more about forecast
  • 04Segment

    See who behaves differently

    Group customers by frequency, value, and behaviour, then explain what sets each segment apart.

    Learn more about segment
  • 05Model

    Go as deep as the question needs

    Regression, classification, clustering, and anomaly detection — with notebooks and output files you can inspect.

    Learn more about model
  • 06Publish

    Share work people can use

    Dashboards, reports, pivots, Excel and PDF exports, and storyboards in PowerPoint, PDF, or interactive HTML.

    Learn more about publish
  • 07Repeat

    Approve once, refresh on schedule

    Turn a reviewed method into a governed dataset that refreshes on a schedule, with execution history.

    Learn more about repeat
  • 08Embed

    Bring it inside your product

    Put dashboards, reports, and the AI workspace inside your SaaS app, with each customer isolated to their own data.

    Learn more about embed

Try it yourself

Pick a business question. Watch the work happen.

Four prepared examples show how a question becomes findings, a method you can check, and a dataset you can download.

TRY THE EXPERIENCEInteractive demo
ANALYSIS WORKSPACEExample ready

A forecast you can plan around.

$6.86MNext-quarter scenario
Sales · $MJanFebMarAprMayJunJulAugSep
Observed salesForecast + uncertainty

The example projects steady growth through September. Use the range around the forecast to plan inventory, rather than treating a single number as a promise.

A guided illustration, not live AI. Questions stay in your browser and select a prepared example. Results use synthetic data.

Built for business questions

What do you want to know about your business?

Start with the decision you need to make. InfuseBI helps you work through the data behind it.

◆

Understand performance

Why did revenue fall? Which products, regions, or customers contributed most to the change?

◇

Plan with more confidence

What might demand look like next quarter? How much uncertainty should our plan allow for?

▲

Know where to focus

Which customer groups behave differently? Which costs deserve a closer look?

Explore the connected view

One dashboard. Several ways to understand the business.

Choose a region or a state. See revenue, product mix, and market performance update together.

RETAIL PERFORMANCE

See the whole business. Then zoom in.

January – June 2026
Showing all regions · 8 marketsChoose a region or a colored state to update every view.
June revenue$4.36MAcross selected markets
Orders13,840Completed in June
Gross margin30.8%Weighted by revenue
Revenue vs. January+28.2%Same selected markets

Where revenue comes from

June · USD
Alabama · no demo dataArizona · no demo dataArkansas · no demo dataCalifornia: $920KColorado: $330KConnecticut · no demo dataDelaware · no demo dataDistrict of Columbia · no demo dataFlorida: $480KGeorgia · no demo dataIdaho · no demo dataIllinois: $420KIndiana · no demo dataIowa · no demo dataKansas · no demo dataKentucky · no demo dataLouisiana · no demo dataMaine · no demo dataMaryland · no demo dataMassachusetts: $290KMichigan · no demo dataMinnesota · no demo dataMississippi · no demo dataMissouri · no demo dataMontana · no demo dataNebraska · no demo dataNevada · no demo dataNew Hampshire · no demo dataNew Jersey · no demo dataNew Mexico · no demo dataNew York: $670KNorth Carolina · no demo dataNorth Dakota · no demo dataOhio · no demo dataOklahoma · no demo dataOregon · no demo dataPennsylvania · no demo dataRhode Island · no demo dataSouth Carolina · no demo dataSouth Dakota · no demo dataTennessee · no demo dataTexas: $740KUtah · no demo dataVermont · no demo dataVirginia · no demo dataWashington: $510KWest Virginia · no demo dataWisconsin · no demo dataWyoming · no demo data
WestCentralEastContiguous US · 8 demo markets

Revenue over time

USD thousands
02,0004,0006,000JanFebMarAprMayJun

A steady increase across the first half.

What customers buy

June revenue share
100%Product mix
  • Electronics36%
  • Home29%
  • Outdoors23%
  • Other12%

Markets to watch

June performance
California
$920K
Texas
$740K
New York
$670K
Washington
$510K

Select a market on the map to see its contribution.

Inside InfuseBI

See your AI data team at work.

  1. 01 Ask Copilot

    A leadership review, written from your data.

    A takeaway, the comparison table, and the steps the Analyst took — ready to question or refine.

    See how it works →
    Investigate a change in performance
  2. 02 Dashboard Agent

    A whole dashboard from one prompt.

    KPIs, charts, and tables drafted together from governed data. Review it, adjust it, then publish.

    See how it works →
    Review an AI dashboard draft
  3. 03 Data Scientist

    Forecasts you can challenge before you trust.

    Compare an accepted model with a simpler challenger, inspect the approach, and rerun with revisions.

    See how it works →
    Compare revenue forecasts in the data science workspace
  4. 04 Results

    Prepared results, one click from a dataset.

    Preview the output, download it to Excel, or save it as a governed dataset for reporting.

    See how it works →
    Review monthly sales results and export to Excel
  5. 05 Governance

    Access decided once, applied everywhere.

    Dataset permissions, row-level security, and AI field controls follow the data into every answer.

    See how it works →
    Control access to a dataset

Something your team can use

Turn your findings into reports and dashboards.

Share clear charts and explanations with your team. Keep the analysis so you can review it and answer follow-up questions.

  • ✓Clear explanations and charts for business decisions
  • ✓Shareable reports, presentations, and dashboards
  • ✓Saved analysis you can inspect, refine, and repeat
See everything your AI data team can do →
Share the forecast in a business presentation

Built for your business

Your data. Your permissions. Your decision.

Connect business data or upload a file. Control access, review the evidence, and decide when a result is ready to share.

◆

Use the data you already have

Work with connected databases and uploaded files. Your team’s business definitions give the analysis context.

◇

Keep access under control

Permissions and data controls govern available inputs. Review changes before publishing or scheduling them.

▲

Keep your reporting connected

Use the results in InfuseBI reports, dashboards, and customer experiences alongside your existing analytics.

Ready when you are

Bring your toughest question.

See how your AI data team turns it into findings, dashboards, and data your team can use.

FAQ

Frequently asked questions

Who is on the InfuseBI AI data team?+

The Data Modeler, Analyst, Data Scientist, Composer, Dashboard Agent, and Designer. The Data Modeler builds datasets from your tables, the Analyst explains what changed, the Data Scientist forecasts and models, the Composer creates charts, pivots, and reports, the Dashboard Agent drafts full dashboards, and the Designer restyles them. They all work on your governed data, inside your permissions.

How is it different from asking for a chart?+

A chart describes a view of the data. A data science task can prepare new data, test an analytical approach, compare models, and produce reusable results. The analyst helps translate the findings into business explanations and visualizations.

Can I inspect and refine the work?+

Yes. You can review the analysis, its notebook and outputs, and request a follow-up revision. Check assumptions and validation before relying on a model or publishing the result.

Can an analysis become a dataset or run on a schedule?+

Yes. Authorized users can publish results as new datasets or review changes to existing datasets. Approved analysis methods can be configured for recurring refresh, with permission checks and execution history.

Do I need SQL to prepare data for analysis?+

No. Pick your tables and AI links them, names the fields, and suggests the measures. The dataset is checked before it is published, and updates to live datasets show which reports change first.

Is the interactive example running on my data?+

No. The website walkthrough uses prepared, synthetic examples and does not call a live AI model. Your question stays in your browser and selects a sample scenario. Request a demo to discuss your own data and workflow.

Do we still get dashboards, reports, and embedded analytics?+

Yes. Your AI data team works inside InfuseBI’s governed analytics platform, alongside dashboards, reports, pivots, exports, customer workspaces, and embedding.