AI Agents
AI agents need operable knowledge, not more data
Why agentic AI depends on governed, accessible, machine-usable knowledge rather than another data strategy.
Opinions Tag
Governance
15 posts
Assurance and monitoring for brand drift
How to detect, measure, and correct brand drift across AI-driven channels.
AI Brand Governance
Brand governance vs. Content governance
Why these disciplines overlap but do different jobs.
The Tokenised Brand
Brand tokens as governance infrastructure
Why tokenised brand standards should function as a live control layer for AI systems.
Governance guardrails for AI agents
Designing agent workflows that respect brand policy and prove compliance.
Evaluating brand alignment for AI outputs
A practical evaluation framework for measuring whether AI behavior matches brand intent.
MCP servers for brand governance
MCP enables policy-aware tooling for brand systems.
Operating brand policy at runtime
What it means to run brand governance as a live system, not a document.
The Tokenised Brand
Tokenising brand architecture
How businesses make master brands, subbrands, and product identities governable for AI.
The Tokenised Brand
Tokenising verbal identity
How tone of voice and messaging become structured controls for AI-generated language.
Versioning brand intent
Manage brand change safely with versioned artefacts and controlled releases.
AI Brand Governance
What is AI brand governance?
A plain-English guide to the control layer brands need for AI-enabled work.
What is IBOM?
A practical definition of the Intelligent Business Operating Model as the delivery and operating model around Brando.
Your AI is guessing. Here is how to make it know.
Most enterprise AI failures are not model failures. They are specification failures.
The Tokenised Brand
Your brand is invisible to AI
Why AI-generated brand work drifts when your standards are still written only for humans.