Abstract background
Why oneAgent

Bans don't stop shadow AI. A secure alternative does.

Your teams need answers in seconds — and often turn to Excel, manual exports, or external AI tools to get them. oneAgent gives them the speed of modern AI chat, but with verified metrics, roles, sources, and your business logic.

Test environment with prepared shop data · no credit card · no data connection required

Verified metricsRoles & permissionsReal data sourcesOn-premise possible550+ connectors
BI ticketopen for 4 days
Excel_export_final_v7.xlsx
AI prompt withcompany figures
oneAgent
oneAgent · Chat

What was net revenue in the online shop in 2024?

Verified metric

€4.82M

Net revenue · Online shop · Fiscal year 2024

Source:ShopwareTime reference:2024Filter:Channel = Online shop
The real problem

Your data is there. But self-service doesn't work.

Self-service BI should make business teams more independent. In practice it creates waiting times, rigid dashboards, manual exports, and parallel KPI definitions. When teams still need fast answers, they find their own way.

Reports take days, not seconds

Leadership asks today. Controlling or BI deliver later. By the time the answer arrives, the next question has already come up.

Dashboards only answer prepared questions

Classic dashboards are strong for known reports. But every new question needs new filters, new models, or another ticket.

Business teams build shadow BI

When official tools are too slow or too complex, spreadsheets, manual exports, and conflicting KPI definitions appear.

Employees turn to shadow AI

Teams don't just want to see data — they want to understand it: explanations, summaries, causes, ideas, and next steps. When internal tools can't deliver that, company data quickly ends up in external AI tools.

QuestionBI ticketExcel exportexternal AIloss of control

The problem isn't just slow reporting. The problem is failed self-service: business teams need flexibility, companies need control.

What it really costs

When everyone builds their own numbers, the company loses trust in decisions.

Shadow BI and shadow AI rarely come from bad intent. They happen because teams need to get work done. But every workaround makes data logic, data protection, and decisions harder to control.

?

The same question, "revenue 2024" — four numbers in circulation.

Revenue 2024

€4.8M

Source: controlling spreadsheet

Revenue 2024

€5.1M

Source: sales report

Revenue 2024

€4.9M

Source: BI dashboard

Net sales 2024

€4.7M

Source: external AI

one definition·one source·one verified context
The oneAgent approach

Self-service that makes business teams faster — and lets IT keep control.

oneAgent lets business teams ask data questions in natural language and use the results directly. The calculation is based on your data sources, approved metrics, and defined business rules — not on freely invented AI numbers.

Flexible like ChatGPT.
Controlled like BI.
Secure for company data.

Ask questions like in ChatGPT

Business teams ask in natural language — without SQL, without dashboard training, and without a ticket for every new question.

Metrics stay controlled

Revenue, margin, return rate, or contribution margin follow your company's defined sources, filters, time references, and business rules.

AI works on top of verified results

Analyses, summaries, root-cause hypotheses, and ideas are built on the calculated company data — not detached from it.

Results become reusable

Answers can be used as tables, charts, or dashboard building blocks and saved for recurring decisions.

See how it works
From data point to decision

oneAgent leads from question to verified answer — and on to the next action.

Business teams don't have to switch between BI, Excel, ChatGPT, and a slide deck. They can ask, analyze, get explanations, develop ideas, and save results in the same workflow.

1

Ask a question

A business question in natural language.

2

Use verified metrics

The calculation follows approved sources, filters, and rules.

3

Get an answer

Table and chart with sources, time reference, and filter.

4

Analysis & next steps

Explain patterns, suggest actions.

5

Reuse the result

Save it as a dashboard building block.

New chat
Revenue analysis 2024
Data David·Yesterday·12:43 PM
What was revenue per customer in 2024?
oneAgent·Yesterday·12:43 PM
Here is revenue per customer for 2024 – calculated with your metric "Net revenue":
Verified metric
CustomerRevenue
Butchers€102,351.45
Hotels€78,178.21
Gift shops€43,782.27
Chocolate shop€12,827.42
Basis of this entire query
Metric: Net revenueTime reference: processed_atFilter: Channel = Online shop
Type a question …
Sales
Value for the whole company

Faster answers for business teams. More control for IT, BI, and data teams.

oneAgent creates self-service without creating new shadow processes. Business teams work faster, while central teams control data access, metric logic, and security.

LeadershipDecisions based on traceable metrics — without waiting for new reports.
CFO / ControllingConsistent KPI definitions instead of manual spreadsheet reconciliation.
IT / BI / DataFewer ad hoc tickets, more control over roles, sources, and governance.
Business teamsAnswers, analyses, and ideas in the flow of work — without SQL or shadow AI.

oneAgent is especially relevant for teams that frequently ask new questions of company data: controlling, sales, marketing, e-commerce, operations, and management.

Why existing tools aren't enough

BI, Excel, and ChatGPT each solve part of the problem — but not the underlying trade-off.

Companies need flexibility and control at the same time. That combination is often missing when teams work only with classic BI tools, spreadsheet workarounds, or generic AI.

Classic BI

Strong for standardized reports and dashboards. But often too rigid and too slow for spontaneous follow-up questions from business teams.

Excel / shadow BI

Flexible for quick analyses. But hard to control, error-prone, and often tied to conflicting KPI definitions.

ChatGPT (standard) / generic AI

Strong for text, ideas, and summaries. But without verified data logic, a role model, and source control, not suited for reliable company metrics.

oneAgent

Natural language, verified metrics, AI analysis, visualizations, and secure use in a controlled environment for company data.

BI stays important. oneAgent complements the data landscape wherever spontaneous questions, AI support, and controlled self-service are needed.

See the comparison with BI, Excel, and ChatGPT
Avoid shadow AI

A secure alternative works better than a ban nobody follows day to day.

When internal tools are too slow, too rigid, or too complex, employees look for shortcuts. oneAgent gives them a productive alternative — with controlled AI use, verified metrics, and traceable data access.

Role and permission model
verified metrics instead of free-form number interpretation
traceable sources, filters, and time references
controlled AI use instead of external data copies
on-premise or your own infrastructure possible
existing data landscape can be extended
See verified answers & security
Roles activeSource visibleFilter appliedMetric verifiedAI controlled

€4.82M

Net revenue · Online shop · 2024

Metric: Net revenueTime reference: 2024Filter: Channel = Online shop

We explain in detail on "Verified answers & security" how oneAgent defines, verifies, and reuses metrics in chat.

What changes

oneAgent makes working with data faster, more consistent, and more secure.

The biggest benefit isn't another report. It comes from business teams finding their own answers, central teams keeping control, and decisions relying on shared data logic.

Faster decisions

Questions can be asked, answered, analyzed, and reused directly in chat.

Fewer reporting tickets

BI and data teams are relieved of recurring ad hoc questions and can focus more on data quality, models, and governance.

More consistent metrics

Key KPIs follow defined sources, filters, time references, and business rules instead of parallel spreadsheet interpretations.

Frequently asked questions

Find answers to common questions about bans, BI systems, and secure AI use.

Not necessarily. oneAgent can complement existing BI, DWH, and database structures and make them usable as a flexible self-service AI layer. Standardized reports remain possible, and spontaneous questions become easier.

When teams need fast answers, workarounds appear. A ban doesn't change the underlying need. oneAgent offers a secure alternative that combines natural language, AI support, and controlled company data.

Yes. The free trial runs for 14 days with prepared shop data, predefined metrics, and guided use cases. Your own data is currently connected together as part of a supported pilot project.

Give your teams a secure alternative to shadow BI and shadow AI.

Try oneAgent for free with prepared shop data — or book a demo directly if you have specific questions about data sources, security, or use cases.

For pilot projects, we set up an initial data source, verified metrics, and concrete use cases together with you. Connect your own data

Not sure what fits? Compare trial, demo & pilot

Why oneAgent — a secure alternative to shadow AI | oneAgent