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Ensure AI Agents Follow Brand Guidelines | Governance Kit

How Do I Ensure AI Agents Follow Brand Guidelines?

Package your brand into machines—then enforce it with retrieval, validators, approvals, and observability.

Explore Agentic AI Run an AI Readiness Assessment

Executive Summary

Make your brand machine-readable and policy-enforced. Create a versioned Brand Style Pack (voice, tone, terms, banned claims, visual rules, examples) and load it via retrieval. Add policy validators (spelling, tone, inclusive language, compliance), glossary/terminology checks, and image rules. Gate sensitive outputs with approvals, track deviations with traces and scorecards, and train on accepted examples to improve over time.

Guiding Principles

Store brand rules in a versioned knowledge base
Use retrieval-only content for facts and claims
Validate tone, terms, and compliance before publish
Require approvals for high-risk channels/pages
Measure adherence; train on approved outputs
If the brand can’t be referenced, it can’t be enforced—codify examples with “good/bad” pairs and rationales.

Brand Control Components

Item Definition Why it matters
Brand Style Pack Voice, tone, personas, examples, banned terms Teaches agents how to write like you
Terminology Glossary Preferred terms, product names, capitalization Prevents drift and inconsistency
Policy Validators Automated checks for tone, inclusivity, claims Blocks off-brand or risky content
Image & Layout Rules Color, logo, alt text, aspect ratios, no-nos Keeps visuals accessible and on-brand
Approvals & Audit Reviewers, tiers, change logs, rollback Adds human judgment to high-risk outputs
Scorecard & Feedback Adherence metrics; train from accepts Continuous improvement loop

Decision Matrix: Enforcement by Risk

Channel/Asset Best for Pros Cons TPG POV
Internal drafts & ideation Low risk exploration Speed; creativity Needs review Validators + light review
Email/social posts Public but reversible High throughput Reputation risk Validators + approver on sensitive segments
Web pages, pricing, legal High risk, durable Consistency Slower Strict validators + mandatory approvals
Sales enablement Buyer-facing accuracy Trust Source maintenance Retrieval-only; cite sources

Rollout Playbook (Ship On-Brand Agents)

Step What to do Output Owner Timeframe
1 — Codify Build the Brand Style Pack with examples Versioned brand KB Brand/Comms 1–2 weeks
2 — Validate Configure tone, glossary, accessibility checks Policy validators AI Lead 1 week
3 — Gate Set approval tiers by channel and risk Reviewer matrix Governance Board 1 week
4 — Pilot Run assist mode; compare to human style Quality baseline Channel Owners 2–3 weeks
5 — Scale Enable execute for low-risk assets; train from accepts Throughput lift Platform Owner Ongoing

Metrics & Benchmarks

Metric Formula Target/Range Stage Notes
Brand adherence score Passed checks ÷ Total checks ≥ 95% Execute Tone, terms, accessibility
Approval pass rate Approved ÷ Submitted Upward trend Execute Indicates learning
Off-brand incident rate Incidents ÷ Assets ≤ 0.5% Execute Alert on spikes
Time to correction Detection → Fix Hours, not days Optimize Measures response
Reuse of approved blocks Blocks reused ÷ New assets Upward trend Optimize Promotes consistency

Deeper Detail

How to operationalize brand control: Store your Style Pack, Glossary, and Visual System in a versioned knowledge base. Agents use retrieval to ground drafts and cite sources for any factual claims. Validators scan outputs for tone, terminology, reading level, accessibility (alt text, contrast), and compliance. High-risk assets (pricing, legal, homepage) require approvals with change logs; low-risk assets can auto-publish once checks pass. Observability records prompts, sources, failed checks, reviewer notes, and final assets to a scorecard. Train on approved examples so the model learns your “house style.”


TPG POV: We implement on-brand agents across HubSpot, Marketo, Salesforce, and Adobe—combining retrieval, validators, approvals, and scorecards—so teams ship faster without drifting from the brand.


See the Agentic AI Overview, start with the AI Agent Implementation Guide, or contact TPG to package your brand into a deployable Style Pack.

Additional Resources

Agentic AI Overview AI Agent Implementation Guide Talk to TPG

Frequently Asked Questions

What belongs in a Brand Style Pack?

Voice, tone, personas, approved examples, glossary, banned terms, claim rules, visual specs, accessibility rules, and “good/bad” pairs with rationales.

How do we stop risky claims?

Use retrieval-only answers from a governed KB and a claims validator that requires citations or approval for superlatives and comparisons.

Can agents create images that follow brand visuals?

Yes—provide color, logo, layout, and style rules with example prompts; enforce alt text and contrast checks before publish.

Do approvals slow us down?

Use tiered approvals: low-risk assets auto-publish after passing validators; high-risk assets route to reviewers with SLAs and change logs.

How do we know adherence is improving?

Track brand adherence score, approval pass rate, and incident rate; retrain on approved examples and review trends monthly.

Get Started

Lock Your Brand Into Every Agent

We’ll build your Style Pack, validators, and approval tiers—then wire them into your stack so every asset ships on-brand.

Download AI Agent Guide Talk to TPG

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Contact us or schedule time with a consultant to explore partnering with The Pedowitz Group.

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