Self-service BI was supposed to fix this. In practice it moved the bottleneck to dashboard authoring — the question you have today was not anticipated by the dashboard somebody built last quarter.
The question is the interface.
A regional manager asks in their own words, gets the number and the chart in seconds, and can see exactly which query produced it — without learning SQL and without opening a ticket.
The user’s identity and data scope are attached to the request by the platform, in code, before the model is ever called. The model can compose a query; it cannot choose whose data that query runs against, and it cannot widen its own scope by asking.
Every answer leaves a record: who asked, in which category, which tools ran, how long they took, how many tokens they cost.
Nothing is aggregated away.
Plain-language questions become validated read-only queries. Answers come back as prose plus the KPI tiles, tables and charts that support them.
The engine scans continuously and raises anomalies, risks, trends and opportunities — ranked by severity, before anyone thinks to ask.
Pin any answer straight from the chat to a personal or shared dashboard. It keeps refreshing against the source on its own schedule.
Insights become dated actions — an overdue invoice, a reorder cycle, a certificate expiry — with completion tracking and recurrence.
Every request, tool call, token and cost is logged per user. Admins set usage caps and review the full history at any time.
English, Hebrew, Spanish, French, German and Italian — including proper right-to-left layout, not a mirrored afterthought.
The insights engine works the estate on a schedule. It surfaces what deviated, what is at risk and what is worth chasing — each one classified, prioritised, and traceable to the query that produced it.
Every user lands on their own board: the headline KPIs, what moved, what is overdue, and what needs a decision today.
An AI system is not a filing cabinet. Models change, schemas drift, questions evolve. Experda AI is sold as a platform subscription plus an ongoing assurance service.
Cut database administration
Data mapping, integrations, permissions, views, business logic and the customisations specific to your estate. Yours, once delivered.
The right to run the Experda AI engine, interface and safety layer — including versions, patches and security fixes.
Quality testing against a golden dataset, model-drift monitoring, prompt and dictionary tuning, and usage governance.
A 45-minute session on your estate. We connect a read-only view, ask the ten questions your team asks every week, and you judge the answers.
With Experda, database teams trade manual work with automations and replace clunky operations with streamlined workflows.
With Experda, database teams trade manual work with automations and replace clunky operations with streamlined workflows.
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