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CONCEPT

Continuous intelligence: the layer above the dashboard

A dashboard gives you a view; continuous intelligence makes change visible, with evidence.

COMPARISON

Dashboard versus continuous analyst

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.

Comparison of a classic dashboard and the continuous intelligence layer
TopicClassic dashboardContinuous intelligence (Autonomous analyst)
How it worksThe manager has to open the dashboard.Runs on a schedule; the Brief reaches the manager without them having to do anything.
Numbers and meaningNumbers are visible; the user draws the conclusions.Every number is linked to its source; no figure is published without evidence.
Finding changeSpotting a deviation takes filtering and drill-down effort.Looks for change across breakdowns: what changed and where it is concentrated.
RecommendationsNo recommendations; the context stays with the user.Creates a Recommendation record; evaluation and decision stay with the user.
LanguageEveryone reads the same view.Each agent writes in the language of its own role.
Interpretation and measurementTelling them apart is left to the user.Interpretation is flagged separately from measurement.
SAMPLE ROLES

Sample role definitions

Each agent is set up with a role definition: its readers, its priorities and its schedule are clearly defined.

Example

CEO agent

Strategic deviations, growth signals and priority topics. Holistic findings for top management go into the Brief on each scheduled run.

Example

CFO agent

Tracks cash, margin, collections and financial risk. Deviations in days sales outstanding (DSO) and margin erosion go into the Brief on each scheduled run.

Example

Inventory health agent

Inventory turnover, availability and the stock-to-sales balance. Changes by location and category go into the Brief on each scheduled run.

Example

Sales director (CSO) agent

Channel performance, customer churn risk, cross-selling opportunities and the sales pipeline. It creates Recommendation records; evaluation and decision stay with the user.

APPLICATIONS

Two separate applications

The continuous intelligence approach is applied in two separate products: AgenticObjects for all industries and HealthCat for healthcare.

An analyst reviewing data dashboards on two screens
All industries

AgenticObjects

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

A physician reviewing patient data on a tablet
Healthcare

HealthCat analytics agent roles

On hospital information system (HIS) data

Roadmap

HealthCat 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.

GUIDE

Continuous intelligence sits above the four analytics layers

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.

What happened?Why did it happen?What could happen?Which option?
GETTING STARTED

Ready for a continuous analyst?

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