Smartegy Business Intelligence | Ask your company data with AI
Smartegy
Business Intelligence

Ask your own data — in natural language

The core of the Smartegy platform: your company database becomes queryable in plain language. No SQL knowledge, no waiting for reports — the answer arrives immediately, with data, a chart, a dashboard or a finished report.

See the process
No SQL knowledge neededLive data from your own databaseThe AI is trained on your business termsEU GDPR — your data stays yours
Business Intelligence workspace
Query executed
3 data sources connected
AI query
What was January revenue per store?
Revenue per store · January
North
€96k
Central
€71k
East
€49k
South
€46k
Scheduled report
Every Monday 7:00 · weekly summary · PDF + email to management
Dashboard
€262k
monthly revenue
1,240
orders
Generated task

Investigate the drop at the South store

Owner: Kate · Due: Friday

The business problem

Reports take days, and decisions are made on stale data

A management question is answered by IT or the analysts days later — by then the decision situation has changed. And producing routine reports constantly consumes valuable analyst capacity.

Answers in seconds

A question is answered immediately with data, a chart or a finished report — no waiting for IT.

Analyst capacity is freed up

Routine reports are produced by the system — analysts can work on the deeper questions.

Insight becomes action

Analysis turns into an assigned, trackable task in a single step.

Dual user experience

Ask in chat, or work on the dashboards

Chat-based AI agents and a classic graphical interface at the same time. Everyone can work in their own style.

AI chat

Ask your data

What was January revenue per store?
January revenue was €262k in total. The strongest store is North (€96k), the weakest is South (€46k) — I have also prepared the per-store chart.
Your own database
Graphical interface

Live dashboards and reports

Dashboards / Reports / Tasks
3
data sources
<10 s
response time
52
scheduled reports
The full process

From connecting the database to the executed decision

Rollout has two steps — integration and training. After that the system is queryable, reports can be scheduled, and analysis turns into tasks.

01

Database integration

ERP, business systems, webshop and custom systems connected securely

02

Training

The AI learns your data model and business terminology

03

Ask

Natural-language queries — answers with data and charts

04

Dashboards and reports

Live dashboards and scheduled, automatic reports

05

Task

Analysis turns into a to-do assigned to an owner

Features

From question to execution, in one system

Natural-language queries

Anyone can ask, in any language — the AI writes and runs the query, then presents the result clearly and visually.

Trained business terminology

The AI learns what "revenue", "regular customer" or "margin" means at your company — so the answers are business-accurate.

Forecasts

Sales trends, seasonality and expected revenue from historical data, with charts.

Interactive dashboards

Customizable dashboards with live data — widgets can also be requested in natural language.

Scheduled reports

"Send last week’s summary every Monday" — Excel, PDF or chart email, without human work.

Task and template generation

Insights become assignable tasks, and recurring workflows become templates.

Report dashboard

Live dashboards of your key metrics

The dashboards are built from your own database, with live data. Widgets can be requested on the interface or in natural language, and the views are customizable — everyone sees their own key metrics.

Deterministic generation — the AI only assists

Behind every chart and report there is an executed, deterministic database query. The numbers are not produced by the AI: the AI helps phrase the question and compose the view. The same query always returns the same result, and its source is traceable.

€262k
monthly revenue
+8.2%
1,240
orders
+4.6%
31.8%
margin
−1.1%
Revenue per store · January
€96k
North
€71k
Central
€49k
East
€46k
South
Revenue trend · 6 months
€262k
AugSepOctNovDecJan
Channel split
Web store46%
Resellers32%
Retail22%
Automated reporting

Reports produce themselves, and insights become tasks

Scheduled reports are produced and sent without human work. And when an analysis calls for intervention, the AI generates an assigned task in one step — execution is tracked in the built-in task manager.

  • Scheduled weekly and monthly reports — Excel, PDF or email
  • Widgets and reports requested in natural language
  • Tasks from analysis, with an owner and a deadline
  • Trackable execution in the built-in task manager
Weekly management summary
Every Monday · 7:00
PDF + email
Investigate the drop at the South store
Owner: KateDue: FridayIn progress
Measurable business impact

Report turnaround drops from days to seconds

The return comes from the freed-up analyst capacity, the automated reporting and the faster decisions made on fresher data.

Savings = routine reports × production time × hourly rate + business value of faster decisions
01

Report turnaround

Seconds instead of days

02

Analyst capacity

Routine reports no longer consume working time

03

Automated reporting

Weekly and monthly reports produced without human work

04

Execution

The analysis → task → tracking chain closes in one system

Use cases

Where data becomes decisions

Management

Instant decision support

A management question is answered immediately with data and charts — decisions are made on fresh numbers.

SMEs

Data-driven operations without an analyst team

What used to require a dedicated analyst team becomes available to small and mid-sized companies too.

Finance & controlling

Reports and forecasts

Monthly closings, controlling reports and revenue forecasts automated, with verifiable data.

Secure database connection

The connection is controlled and read-only — the operation of your production systems is not affected.

Business-accurate answers

The AI works trained on your own data model and terminology — the source of every number is traceable.

Permission-controlled access

Who may query which data — regulated at user and company level, in an isolated environment.

EU GDPR and your own AI context

Full EU GDPR compliance. The company builds its own AI context: your data never trains external large language models and is never passed to third parties — your business secrets remain yours for the long term.

FAQ

Worth clarifying

Do we need SQL or programming knowledge?+

No. You ask in natural language — in any language — and the AI writes and runs the query. You receive the result clearly, in visual form.

Which systems can be connected?+

ERPs, business management systems, webshops and custom databases. The connection is made over a secure, controlled channel and does not affect the operation of your production systems.

How does the AI know what our terms mean?+

Training is part of the rollout: we document the data model and define the business terms — what "revenue", "active customer" or "margin" means at your company. This makes the answers business-accurate.

What guarantees that the numbers are correct?+

Answers come directly from your own database, from an executed query — the query and the source are traceable, and the result can be verified.

Is our data used to train external AI models?+

No. The system operates with full EU GDPR compliance, and the company builds its own, isolated AI context. Your data never flows into the training of external large language models and is never handed to third parties — the company knowledge you build remains exclusively yours.

Start with your first ten business questions

In the pilot we connect the database, train the AI on your terminology, and measure the accuracy and speed of the answers on your real business questions.