Skip to content

Brando IBOM Workshop & Pilot

Structured entry points to Brand-as-Code

The Brando IBOM Workshop and Pilot are two complementary, enterprise-grade engagement formats designed to help organisations adopt Brand-as-Code using the Brand Oracle (Brando®) under the Intelligent Brand Operating Model (IBOM).

They provide a controlled, phased path from brand intent to machine-actionable governance — without requiring a full Brand Operating System deployment upfront.

How this aligns to IBOM

The engagements map directly to the IBOM lifecycle:

Assessment → Definition → Codification → Deployment → Operation → Assurance

Engagement IBOM stages covered Purpose
Workshop Assessment & Definition Establish clarity, intent, and structure
Pilot Codification & Validation Prove machine-actionable behaviour

Full deployment, operation, and assurance are handled through the Brando IBOM Implementation Service.

Brando IBOM Workshop: Assessment & Definition

Purpose

The Brando IBOM Workshop establishes a shared, explicit understanding of how a brand must behave inside AI systems — before any code, policy graphs, or runtime integration occurs.

It focuses on: - brand readiness, - governance clarity, - semantic definition, - and alignment across stakeholders.

This is the authoritative starting point for Brand-as-Code.

What this is (and is not)

This is: - a structured assessment and definition exercise, - grounded in Brando Schema and IBOM, - designed for cross-functional alignment.

This is not: - a production deployment, - a tooling exercise, - or a long-term delivery commitment.

Typical participants

  • Brand / marketing leadership
  • CX, product, or service owners
  • AI / data / platform representatives
  • Legal, risk, and compliance stakeholders (where relevant)

Recommended group size: 4–8 participants

Core activities

1. Brand & AI readiness assessment

  • Review existing brand guidelines and artefacts
  • Identify ambiguity, interpretation risk, and AI exposure
  • Assess governance maturity and regulatory sensitivity
  • Identify priority AI use cases and surfaces

2. Context framing

  • Define where and how the brand will operate:
  • channels,
  • audiences,
  • jurisdictions,
  • use-case boundaries
  • Establish initial brando:Context definitions

3. Brand definition (semantic)

  • Translate brand intent into explicit, machine-ready concepts:
  • tone and language principles,
  • behavioural expectations,
  • constraints and non-negotiables
  • Define the Brand Definition Vocabulary (BDV) at a conceptual level

4. Governance intent

  • Identify:
  • hard rules vs advisory guidance,
  • refusal and escalation expectations,
  • regulated or high-risk behaviours
  • Prepare the logical foundations for future policy drafting

Outputs

By the end of the workshop, organisations receive:

  • A Brand & AI Readiness Assessment
  • A clear IBOM-aligned brand definition
  • A conceptual BDV blueprint
  • A prioritised use-case and context map
  • A recommendation on whether to proceed to Pilot or Implementation

No production policies or runtime enforcement are created at this stage.

Duration & format

  • Format: facilitated workshop (in-person or virtual)
  • Duration: half-day or full-day
  • Commercial model: fixed-fee discovery engagement

Brando IBOM Pilot: Codification & Validation

Purpose

The Brando IBOM Pilot takes the outputs of the Workshop and proves that the brand can be executed as code.

It focuses on: - codifying brand intelligence, - drafting initial executable policies, - and validating behaviour in controlled AI environments.

This is a proof of capability, not a full rollout.

What this is (and is not)

This is: - a bounded, production-quality pilot, - focused on 1–2 priority use cases, - designed to demonstrate machine-actionable governance.

This is not: - an enterprise-wide Brand OS deployment, - ongoing operational governance, - or model fine-tuning.

Core activities

1. Codification

  • Author Brando assets in JSON-LD and/or YAML:
  • brando:Brand
  • brando:Context
  • Brando:VerbalIdentity
  • Draft brando:Policy nodes
  • Convert defined brand intent into structured, executable data

Policy drafting begins here — informed by Workshop outputs and constrained to pilot scope.

2. Policy Graph construction

  • Derive Machine-Actionable Policy Graphs from the Brand Knowledge Graph
  • Encode:
  • permissions and prohibitions,
  • enforcement levels,
  • refusal strategies,
  • context-specific behaviour

3. Validation & dress rehearsal

  • Execute the Policy Graph in controlled AI environments:
  • LLM calls,
  • scripted test harnesses,
  • or sandbox assistants
  • Test:
  • tone adherence,
  • rule enforcement,
  • refusal behaviour,
  • context switching
  • Identify drift, ambiguity, or unsafe outputs

4. Impact & readiness review

  • Validate:
  • behavioural correctness,
  • governance effectiveness,
  • organisational readiness
  • Prepare recommendations for:
  • full Brand OS deployment,
  • additional contexts,
  • expanded policy coverage

Outputs

By the end of the Pilot, organisations receive:

  • A working Brand Knowledge Graph
  • Draft Machine-Actionable Policy Graphs
  • Validated AI behaviour for selected use cases
  • A refined BDV and governance model
  • A clear recommendation for full IBOM implementation

Duration & format

  • Format: structured pilot engagement
  • Duration: typically 2–4 weeks
  • Commercial model: fixed-scope pilot SOW

Relationship to the Brando IBOM Implementation Service

The Workshop and Pilot are on-ramps, not substitutes, for full implementation.

Organisations that proceed typically move into:

  • Brando IBOM Implementation Service
  • Deployment
  • Operation
  • Assurance
  • Ongoing governance and evolution

→ Brando IBOM Implementation Service

When to choose each

Situation Recommended entry
Exploring AI brand governance Workshop
Aligning stakeholders Workshop
Proving Brand-as-Code Pilot
Validating AI behaviour Pilot
Scaling across channels Implementation

Summary

  • The Workshop establishes clarity and definition.
  • The Pilot proves codification and execution.
  • The Implementation Service operationalises brand at scale.

Together, they provide a safe, governed path to running brand as infrastructure in AI-native environments — under the Brando IBOM.