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Brando IBOM Implementation Service

Reference Implementation of the Brand Oracle

The Brando IBOM Implementation Service, delivered by Advanced Analytica, is the reference implementation of the Brand Oracle (Brando®) and the Intelligent Brand Operating Model (IBOM).

Brando Schema: AI-native vocabulary for brands

It provides a full-lifecycle, enterprise-grade path for transforming static brand guidelines into a governed, machine-actionable brand system, composed of four tightly integrated layers:

  1. Brand Knowledge Graph
    The authoritative, structured representation of brand identity, expression, context, personas, and governance.

  2. Brand Definition Vocabulary (BDV)
    The directive ontology that defines how the brand must behave inside AI systems.

  3. Machine-Actionable Policy Graphs
    Executable policy projections derived from the Knowledge Graph that govern what AI systems may, must, or must not do at runtime.

  4. Brand Operating System (Brand OS)
    The runtime layer that AI models, agents, and workflows query to produce consistent, compliant, on-brand behaviour under IBOM.

Alongside these layers, the service establishes AI Brand Impact Assessments (brando:ImpactAssessment), aligned with enterprise AI governance and ISO/IEC 42005-style impact assessment practices, ensuring that every AI use case governed by Brando is:

  • risk-assessed,
  • value-tracked,
  • auditable,
  • and continuously monitored.

Reference Implementation Status

This service delivers the official reference implementation of the Brando framework.

Reference implementation means:

  • implemented by the authors and stewards of Brando and IBOM,
  • aligned exactly to the canonical vocabulary and operating model,
  • used to validate and evolve the specification itself,
  • and treated as the normative baseline for production deployments.

Reference Implementation Badge

You may display the following badge on approved deployments, documentation, or repositories:

“Brando Reference Implementation – IBOM”

Suggested usage text:

This system implements the Brand Oracle (Brando®) using the official reference implementation developed by Advanced Analytica under the Intelligent Brand Operating Model (IBOM).

GitHub / README badge (example):

Brando Reference Implementation

Brando IBOM Reference Implementation

Badge usage indicates conformance to the Brando vocabulary and IBOM lifecycle, not endorsement of specific outputs.

Why implementation by the Brando creators matters

Brando is not a generic ontology assembled from existing standards.

It is a purpose-built, AI-native vocabulary and operating model, designed specifically for governing brand behaviour in probabilistic systems.

The IBOM Implementation Service is delivered by the same team that designed and maintains:

  • the Brando Schema Vocabulary,
  • the Brand Definition Vocabulary (BDV),
  • the Intelligent Brand Operating Model (IBOM),
  • and the reference Brand Operating System architecture.

This matters because:

  • Semantic intent is preserved — implementers understand why each construct exists, not just how to deploy it.
  • Governance logic is not diluted — policies behave exactly as designed.
  • Edge cases are anticipated — based on real runtime behaviour, not theory.
  • Evolution remains coherent — vocabulary, policy patterns, and operating practices stay aligned over time.

Brando is not implemented using the framework. It is implemented by the people who built it.

Partners and internal teams can extend Brando, but core stewardship remains central to ensure stability, interoperability, and long-term trust.

Why this is different

Most “brand + AI” initiatives stop at influence:

  • prompts,
  • tone decks,
  • guidelines,
  • fine-tuning experiments.

These approaches provide suggestion, not governance — and rarely measure impact.

Brando delivers control and accountability.

It creates a closed-loop system where:

  • brand intent is codified,
  • behaviour is governed,
  • outputs are constrained,
  • and impact is measured over time.

This turns brand into operational infrastructure, not documentation.

The IBOM delivery lifecycle

The service follows the Brando Intelligent Brand Operating Model (IBOM):

Assessment → Definition → Codification → Deployment → Operation → Assurance

Each phase builds durable capability, not one-off artefacts.

Phase 1 — Brand & AI Readiness Assessment

Purpose

Establish brand readiness, risk exposure, and value hypotheses for AI usage.

Activities

  • Review brand guidelines, governance, and ambiguity
  • Identify AI exposure, misuse, and regulatory risks
  • Map priority AI use cases and desired outcomes
  • Define initial impact and success criteria

Outputs

  • Brand readiness and risk assessment
  • AI use-case inventory
  • Initial brando:ImpactAssessment drafts
  • IBOM delivery roadmap

Phase 2 — Brand Definition & Codification

Purpose

Translate brand intent into structured, machine-readable form.

Activities

  • Define Brand Definition Vocabulary (BDV)
  • Codify tone, language, constraints, and tokens
  • Model contexts, personas, and categories
  • Align with Schema.org, GS1, and taxonomies

Outputs

  • Canonical Brand Knowledge Graph
  • Complete BDV (JSON-LD + YAML)
  • Governance rules and constraints
  • Policy derivation logic

Phase 3 — Policy Graph Construction & Validation

Purpose

Derive executable governance from brand knowledge.

Activities

  • Generate Machine-Actionable Policy Graphs
  • Encode permissions, prohibitions, and enforcement
  • Define refusal and escalation strategies
  • Validate behaviour in controlled AI environments

Outputs

  • Executable Policy Graphs
  • Refined BDV and governance rules
  • Updated impact assessments

Phase 4 — Brand OS Deployment

Purpose

Activate brand governance at runtime.

Activities

  • Deploy Brand OS components
  • Integrate with LLMs, agents, RAG pipelines
  • Enforce policies at generation time
  • Register use cases against impact assessments

Outputs

  • Live Brand Operating System
  • Runtime-governed AI behaviour
  • Centralised brand system of record

Phase 5 — Operation, Assurance & Evolution

Purpose

Maintain trust, compliance, and performance over time.

Activities

  • Monitor drift and violations
  • Update brand rules and contexts
  • Re-certify policies and impact assessments
  • Support audits and governance reviews

Outputs

  • Continuous assurance
  • Stable brand behaviour across models
  • Measurable AI brand performance
  • Ongoing IBOM maturity

What organisations receive

  • Official Brando reference implementation
  • Governed Brand Knowledge Graph
  • Executable Policy Graphs
  • Live Brand Operating System
  • AI Brand Impact Assessment register
  • Documentation, governance artefacts, and audit evidence

Who this is for

  • Enterprise brand and marketing leaders
  • AI governance, risk, and compliance teams
  • Platform and architecture owners
  • Organisations treating brand as regulated infrastructure
  • Brando IBOM → /ibom.md
  • Brando Vocabulary → /
  • Brand OS Architecture → /architecture/brand-os.md
  • Runtime Integration → /architecture/runtime-integration.md
  • Impact Assessment Type → /types/impact-assessment.md

Talk to us

To discuss a reference implementation or IBOM adoption: