frameworks
Responsible AI frameworks.
8 documents for adopting and governing AI in marketing: five frameworks you run as-is, including a regulatory map that gets re-dated whenever the law moves, and three templates you fill in and adopt as your own. Authored or co-authored at MMA's Responsible AI Innovation Lab, through the AI Leadership Think Tank, a community of 300+ marketing and AI leaders from 180+ brands. Every one is free, as PDF and, where it's a template, as editable DOCX.
Pull whichever piece closes the gap you're looking at, or work through all 8 in five days with a responsible AI framework for marketing teams, the guide that sequences them from principles to procurement to measurement.
frameworks
Run these as-is. Each came out of the AI Leadership Think Tank, the working group behind RAIL's frameworks. The regulatory map is the one that moves: it gets re-dated whenever the underlying law does.
- framework 2024-07also on mmaglobal.com ↗
Marketing AI Implementation Checklist
A 13-area checklist from MMA's Responsible AI Innovation Lab for adopting AI in marketing, from leadership alignment to vendor evaluation. Use it to audit where your organization stands and what to fix first.
PDF → - framework 2024-07also on mmaglobal.com ↗
Generative AI Governance Framework for Marketing
MMA's framework for governing generative AI in marketing: governance dimensions, an implementation guide, and a decision tree. Built for CMOs and teams putting GenAI into production with consumer protection and compliance built in.
PDF → - framework 2024-07also on mmaglobal.com ↗
Marketing AI Risk Evaluation Framework
A repeatable way to score the risk of an AI marketing initiative. Applies a three-factor LIME method (Likelihood, Impact, Mitigation effort) across privacy, accuracy, ethics, and compliance, so teams can evaluate before and during deployment.
PDF → - framework 2025-05also on mmaglobal.com ↗
Holistic AI Marketing Measurement Framework
A framework for measuring AI's impact on marketing across five KPI categories: operational efficiency, customer engagement, revenue growth, responsible-AI governance, and strategic value. Includes baseline-setting, monitoring, audits, and a sample AI program scorecard.
PDF · DOCX → - framework 2026-06
Mapping the Marketing AI Regulatory Landscape
A practical map of where AI regulation actually binds marketers as of June 2026: a volatile US federal posture, the binding state patchwork, the EU AI Act timeline and its high-risk delay, copyright after the Bartz settlement, and the open gap on agentic AI. With five moves to make now.
PDF · DOCX →
templates
Fill these in and adopt them as your own. Every replaceable field is a bracketed placeholder; the PDFs ship with editable DOCX versions where the fields are Word content controls, so typed text comes out clean.
- template 2025-08
Responsible AI Principles
An organizational responsible-AI charter you can adopt and customize: 11 principles spanning human oversight, fairness, transparency, privacy, IP, accountability, vendor accountability, safety, and societal benefit, plus explicit authorized and unauthorized use cases. Grounded in the NIST AI RMF, OECD, and the EU AI Act.
PDF · DOCX → - template 2025-11
Generative AI Usage Policy
A fill-in-the-blanks generative AI usage policy for your organization: approved tools, data confidentiality, IP, bias and hallucination controls, and an AI Council approval process. Includes a 2026 appendix on governing agentic AI and MCP integrations.
PDF · DOCX → - template 2026-02also on mmaglobal.com ↗
AI Tech Vendor Evaluation
A structured template for evaluating AI vendors before you buy: technical capability, data practices, responsible-AI alignment, a 1–5 automation-level scale, demo-and-trial observations, a procurement roadmap, and a full question bank. Updated with an agentic-capability assessment.
PDF · DOCX →
also_at_MMA
RAIL work that isn't one of the eight above. Each document that also has an MMA-hosted version links to it from its own card.
- report The State of Personalization
Industry research on how brands are operationalizing AI personalization: benchmarks, gaps, and where the market is heading. 2025.
- webinar Ethical AI Marketing: A Toolkit for Responsible Innovation
The RAIL session that walks through the checklist, the governance framework, and the risk score as one workflow.
- webinar Navigating AI Regulation: Marketing in a New Era
What actually binds marketers across the US state patchwork and the EU AI Act, and what to do before each date lands.
- webinar The Rise of AI Agents: Reimagining Marketing Teams
Where autonomous agents change marketing org design, and where the governance gap sits today.
use_them
Adopting these inside a company?
These are written to be lifted, renamed, and adopted. If you're standing up AI governance from nothing, or auditing what's already running, I do that work directly.