In practice · Reference 01

VibeBI is a reference implementation—not the answer.

VibeBI provides a practical environment for examining how selected EZBI patterns can work in enterprise data and analytics. The method remains portable; the implementation is specific.

Integrity rule

EZBI guidance does not require VibeBI. VibeBI receives no hidden preference in comparisons, commercial links are labelled, and product claims remain on the product site.

What it makes inspectable

One domain. All six systems.

The reference is useful because it exposes concrete design choices, not because it defines the only valid architecture.

01 · Direction

Business users define the questions and outcomes; the product does not decide what the enterprise should optimize.

02 · Decisions

Business, data and IT retain distinct decision rights for outcomes, meaning, standards, security and reliability.

03 · Work

Agents profile, model, govern, answer and improve while people review consequential changes.

04 · Intelligence

A governed semantic layer connects business definitions, certified metrics, lineage and live warehouse data.

05 · Control

Identity, data-domain permissions, classification and inherited entitlements constrain what reports may expose.

06 · Evolution

A steward-reviewed learning loop turns real questions and failures into proposed improvements.

Implementation boundary

What is product-specific.

VibeBI focuses on governed, on-premise enterprise business intelligence and data warehousing. Its architecture, terminology and deployment choices are not universal EZBI requirements.

Reusable pattern

Business leaders own outcomes; data teams own meaning and standards; IT owns security and reliability; AI automates execution inside those decision rights.

Specific implementation

Medallion data layers, certified semantic models, desktop agents, inherited data entitlements and an on-premise control plane.

Why include a reference

The method should be testable against implementation reality.

Future reference notes should show the principle being implemented, the design choice and alternatives, evidence collected, failures and limitations, and what changed after operating experience.