Domains & Topics

The twelve governance domains structure all AI governance territory in Balcony — each with a distinct colour, code, and set of topics and controls.

Balcony's unified control framework organises AI governance into twelve domains. Every control, expectation node, and mechanism in the platform sits within this structure. The domains are your primary navigation layer across both Nexus and Mechanic.

Each domain has a two-letter code, a consistent colour in the UI, and a set of numbered topics that group related governance concerns.

[Screenshot needed] PLACEHOLDER IMAGE: A visual layout of all twelve governance domains as coloured tiles, each showing the domain code (GL, RM, DL, etc.) and name, arranged to convey the full scope of the framework at a glance

The twelve domains

CodeDomainGovernance territory
GLGovernance & LeadershipBoard oversight, governance structures, accountability frameworks, ethical principles
RMRisk ManagementRisk identification, assessment, classification, mitigation, and monitoring
DLData & LearningData governance, data quality, training data, system design and development
SASafetySafety assessment, fail-safes, resilience, operational safety measures
SESecurityCybersecurity, access control, adversarial robustness, system integrity
HOHuman OversightHuman-in-the-loop, override capability, autonomy calibration, user interfaces
PRPrivacyData protection, consent, anonymisation, privacy impact assessments
OMOperational ManagementDeployment, monitoring, maintenance, change management, documentation
IMIncident ManagementDetection, response, notification, root cause analysis, remediation
SCSupply ChainThird-party assessment, vendor governance, procurement requirements, sub-processor management
ROReporting & ObligationsRegulatory reporting, transparency, registration, conformity declarations
AAAudit & AssuranceInternal audit, external audit, conformity assessment, evidence management

Topics within domains

Each domain is subdivided into numbered topics that group related governance concerns. Topics give you finer-grained navigation within a domain without jumping directly to individual controls.

For example, within the Data & Learning domain (DL):

  • DL-1 — Data Governance
  • DL-2 — System Design

Topics are numbered sequentially within their domain: GL-1, GL-2, RM-1, RM-2, and so on. The topic number does not carry inherent significance beyond its position in the domain.

Controls within topics

Each topic contains the actual controls — specific, actionable governance requirements. Controls are the leaf level of the framework hierarchy, numbered within their topic: DL-1-1, DL-1-2, and so on.

Controls are what external regulatory obligations map to in Nexus, and what mechanisms are linked to in Mechanic. They are the translation layer that lets a clause from the EU AI Act and a provision from a client contract both resolve to the same governance territory.

The colour system

Each domain has a consistent colour that appears throughout the platform:

  • Domain colour chips on Explore view nodes indicate which domains a clause maps to.
  • Domain filter controls in the board header use the same colours.
  • Portfolio views in Mechanic use domain colours to categorise mechanisms.

The colour system is purely navigational — it carries no compliance significance. Its purpose is to make domain boundaries legible at a glance across large canvases and complex crosswalks.

Using domains for analysis

Domain filtering in Nexus is one of the most powerful analytical tools in the platform. Load two or three frameworks onto a board, then filter to a single domain — say, Incident Management (IM). You see every incident-related requirement from every loaded artefact in one view, regardless of which regulation it came from.

This makes convergence visible: where multiple frameworks make demands in the same domain, your governance response can address all of them with shared mechanisms. It also makes divergence visible: where one source creates obligations in a domain that others do not reach.