The AI assistant for your verified metrics
oneAgent doesn't just answer.
It stays on it.
oneAgent answers questions about your company numbers, using metrics your experts have defined and approved.
New chatoneAgent·Yesterday·12:43Step 1 of 3
From question to verified metric
Someone in the business wants to know how revenue has developed by customer group, and simply asks in plain language. oneAgent reliably delivers the metrics your experts have defined and approved.
Note: every answer shows where the number comes from and which filters apply. So it's not just fast — it's verifiable, too.
Step 2 of 3
From metric to goal
The answer is usually followed by another question: how will I know when the numbers change? oneAgent turns that question into a goal. You decide which value should be reached by when — oneAgent suggests suitable targets and tells you what's realistic at the current pace. From then on, it keeps the goal in sight.
oneAgentNew goal · confirm the target
Target *
What you said. Needs €0.29M/week against €0.26M today.
Step 3 of 3
From goal to completed task
If a number drifts off target, oneAgent speaks up on its own — before anyone has to ask. It shows not just how big the gap is, but where it comes from: which regions, products, or customers account for most of it.
It then suggests who should take it on and by when a decision needs to be made. You confirm, and oneAgent creates the task — and won't let up until it's done.
oneAgent·Yesterday·12:43Q3 revenue forecast is drifting 8.4% below plan
DACH and Nordics account for 82% of the gap. The drift started in week 28 and has widened every week since. Pipeline coverage for September is at 1.9x against a 3.0x target.
Gap to plan: €0.50M
Decide by: Fri, 11 Sep
Confidence: High
oneAgent·Yesterday·12:43Two people could take this. Amir is the closest fit — he owns the DACH forecast model and has the lighter week of the two. Pick one and I will draft the handover.
Revenue Analyst · Commercial Analytics
Regional Lead DACH · Sales
Assign task to someone else you have in mind.
AI for language. Business logic for numbers.
Verified metrics instead of AI guesses
The AI understands the question. The metric stays controlled.
oneAgent uses AI to understand questions in natural language, but not to freely invent company metrics. Metrics like revenue, margin, return rate, or contribution margin are defined, verified, and approved. After that, they are reused reproducibly in the chat.
Verified answers & security →Built for business teams. Introduced safely with IT.
oneAgent works where self-service BI often fails: business teams get fast answers and AI support in their daily work — while IT, BI, and data teams control data access, metric logic, security, and governance.
Use cases by team →For teams that need answers, analyses, and ideas
Management, controlling, sales, marketing, e-commerce, or operations ask questions in natural language, analyze results, and create summaries, forecasts, ideas, or dashboards — without waiting for new reports or IT tickets.
Example questions
Which products currently have particularly high stock levels, and which campaigns could help increase sales?
Create a revenue forecast for the next 12 months per country based on our historical sales data.
Which product categories are performing worse than last year, and what possible causes do you see?
Which customers have not ordered in 90 days, and which reactivation measures could we test?
For teams that need to stay in control
IT, BI, and data teams define data sources, roles, metrics, business rules, and validation logic. The result is self-service without shadow BI, uncontrolled data exports, or external AI workarounds.
Control points
Safe for company data. Ready for IT and data protection.
oneAgent is designed for use with company data: with a role and permission concept, traceable data sources, verified metrics, optional on-premise deployment, and controlled AI usage instead of shadow AI.
Generic LLMs can phrase numbers plausibly, but without defined data logic and validation they cannot calculate verified company metrics.
Connect the data sources your company already uses.
oneAgent connects ERP, CRM, shops, data warehouses, databases, files, and APIs — live at the source system or via imported data in the oneAgent Lake.
Live connection
AI on top of your DWHoneAgent queries the source system — for example, your data warehouse — directly and uses current, real-time data, with no data migration to a second system.
See the data warehouse solutionImport / ETL
oneAgent LakeData is transferred into the oneAgent Lake via an ETL process — fast to query and well prepared.
oneAgent closes the gap between BI and AI.
Classic BI is controlled but often too rigid for spontaneous questions. Generic AI is flexible but not built for verified company metrics. oneAgent combines both: natural language, verified data logic, and secure AI features in one platform.
“Limited” and “depends” describe usage boundaries — not a value judgment. Detailed comparisons on the comparison page.
See the comparison with BI, Excel, and ChatGPTFrequently asked questions
Find answers to common questions about the free trial, data connections, and verified metrics.
oneAgent is an AI analytics platform by oneLake GmbH that lets business teams and IT query company data via chat. Unlike generic AI chatbots, oneAgent separates language understanding from metric calculation: answers are based on previously defined, verified metrics from 550+ data sources (ERP, CRM, shop, DWH) instead of AI guesses. Hosted in Frankfurt, GDPR-compliant, also available on-premise.
Yes. You can try oneAgent free of charge with prepared shop data, predefined metrics, and guided use cases. You do not need to connect your own data.
No. The free trial uses a prepared demo data set. Your own data is currently connected with guidance as part of a pilot project.
There are two ways: live at the source system or via an import into the oneAgent Lake. Which option makes sense depends on the data source, freshness requirements, performance, and security requirements.
oneAgent uses AI to understand questions. Metrics, however, are defined, verified, and reused. The calculation follows stored data sources, business rules, and validation logic.
The definitions are created together with you: your business team, controlling or BI set the source, the calculation, the filters and the owner, and then release the metric. From that point on, oneAgent returns the same value for that metric in every question. You do not have to map your entire set of KPIs first. Companies usually start with the few metrics their leadership meetings actually talk about.
oneAgent is not designed to replace your existing BI system. Your data warehouse, BI tools and databases normally stay in charge; oneAgent sits on top as a self-service AI layer and makes them available in chat. You do not have to rebuild your data landscape for it.
For business teams that need fast answers, forecasts, and AI analyses — and for IT, BI, and data teams that need to keep control, security, and governance.
Experience oneAgent before we talk about your data.
The demo runs through the whole chain with sample data: from question to verified metric, from metric to goal, from goal to completed task. No setup, and no access to your systems.
For pilot projects, we set up a first data source, verified metrics, and concrete use cases together with you. Connect your own data →