Agentic Analytics
Get measurable results with
proven ROI
-
%
Reduction of manual tasks
X
Users accesing data
-
%
X
Faster reports delivery
Interested? Let's get started
Frequently asked questions
What is an AI data agent?
An AI data agent is a conversational, autonomous system trained on your governed internal data. It can answer business questions, run analysis, and support decisions, using only the data each user is authorized to see.
Why do most AI data agent projects fail?
Most fail because of ambiguous metric definitions, stale schemas, poor data discoverability, and unclear access control, not because of the AI model itself. Datakimia fixes the data foundation first, then deploys the agent on top of it.
What data do I need to prepare before deploying an AI data agent?
You need a single governed source of truth: connected data sources, a semantic layer with clear metric definitions, and fine-grained access rules by user and department. Datakimia builds this as part of the deployment.
How long does it take to launch an AI data agent with Datakimia?
Timelines depend on the current state of your data stack. Most Datakimia clients go from a free data audit to a working agent in weeks, not months.