CEO agent
Strategic deviations, growth signals and priority topics. Holistic findings for top management go into the Brief on each scheduled run.
A dashboard gives you a view; continuous intelligence makes change visible, with evidence.
A dashboard shows the data and leaves the interpretation to the user. In the continuous intelligence layer, an Autonomous analyst scans the data at scheduled intervals and records what has changed.
| Topic | Classic dashboard | Continuous intelligence (Autonomous analyst) |
|---|---|---|
| How it works | The manager has to open the dashboard. | Runs on a schedule; the Brief reaches the manager without them having to do anything. |
| Numbers and meaning | Numbers are visible; the user draws the conclusions. | Every number is linked to its source; no figure is published without evidence. |
| Finding change | Spotting a deviation takes filtering and drill-down effort. | Looks for change across breakdowns: what changed and where it is concentrated. |
| Recommendations | No recommendations; the context stays with the user. | Creates a Recommendation record; evaluation and decision stay with the user. |
| Language | Everyone reads the same view. | Each agent writes in the language of its own role. |
| Interpretation and measurement | Telling them apart is left to the user. | Interpretation is flagged separately from measurement. |
Each agent is set up with a role definition: its readers, its priorities and its schedule are clearly defined.
Strategic deviations, growth signals and priority topics. Holistic findings for top management go into the Brief on each scheduled run.
Tracks cash, margin, collections and financial risk. Deviations in days sales outstanding (DSO) and margin erosion go into the Brief on each scheduled run.
Inventory turnover, availability and the stock-to-sales balance. Changes by location and category go into the Brief on each scheduled run.
Channel performance, customer churn risk, cross-selling opportunities and the sales pipeline. It creates Recommendation records; evaluation and decision stay with the user.
The continuous intelligence approach is applied in two separate products: AgenticObjects for all industries and HealthCat for healthcare.

On top of the enterprise data warehouse
Analyst agents that run on a schedule and answer questions. Every number is verified by a deterministic engine; the outputs are persistent Finding, Recommendation and Brief records.
D-CAT runs the setup and the 4-week pilot as implementation partner.
AgenticObjects product · Implemented by D-CAT

On hospital information system (HIS) data
RoadmapHealthCat Analytics Agents are designed with healthcare-specific roles: Chief Physician (physician performance), Medula (billing and reimbursement tracking with SGK, the Turkish social security institution), Health-CFO (revenue and cost) and Health-CEO (strategic capacity). The goal is to produce Briefs for hospital management.
The classic BI layers (descriptive, diagnostic, predictive, prescriptive) keep their value. Continuous intelligence is built on top of them: it repeats the analysis at scheduled intervals and records the finding; interpretation and decisions stay with people.

Start with a free data discovery study, followed by a 4-week pilot with acceptance criteria agreed in advance.