Marketing Business Capability Model: AI-Ready Edition

This Marketing Capability Map is for CIOs, architects and transformation leads deciding where generative and analytical AI belong in marketing and who approves what it produces. Each of the 53 level 2 capabilities has an AI profile with its target AI mode, human oversight, data needs and risk tier. A prioritization model ranks them on your own weights, and a 40-question readiness assessment shows whether data and teams are ready. The profiles also say where a person approves what AI generates.

About the Marketing Business Capabilities Model

Marketing is described here in business terms: strategy and planning, market and customer insight, segmentation, brand, product marketing, content, campaign management, channel execution, marketing operations and performance measurement. Capabilities are defined by what they achieve, not by the marketing technology that supports them or the agency that runs them. There are 5 L1 areas, 53 L2 and 259 L3 capabilities, all with stable IDs, definitions to L3 and 231 KPIs at L2.

The workbook holds the hierarchy, ratings and scoring. The definitions and KPIs documents can be shared with marketing teams and agencies, and the capability map deck puts the whole function on one page for the CMO's leadership team.

The AI layer turns the map into a decision tool. Each L2 capability has a profile with opportunities, what stays human, candidate agents, data, KPIs and AI measures, prerequisites, risks and workforce impact; each L3 is rated for work pattern, target AI mode, AI fit and risk tier. Marketing has more content generation than most functions, and the profiles say where AI drafts and where a named owner approves, as in the sample, where AI drafts the campaign plan and the Campaign Owner approves plan, budget and success measures.

Why It Matters

Marketing is often described through its technology stack and its agencies: the automation platform, the content system, the analytics tools, the creative partners. Those change often, and they say little about which work matters or where AI belongs. Generative AI then arrives through individual teams, a copy tool in one, an image tool in another, an audience model in a third, each with its own rules for review before anything reaches a customer.

The model gives those decisions a common map. Each tool or proposal can be placed on the capabilities it touches and checked against the AI mode, oversight and risk tier in the profile. The result is one position on what AI may produce on its own, what needs a human edit, and what needs approval by an accountable owner, applied across brand, content, campaigns and analytics.

What's Inside

• 5 L1, 53 L2 and 259 L3 marketing capabilities, with definitions to L3 and 231 KPIs at L2
• A full AI profile for every L2 capability: opportunities, what stays human, agents, data, KPIs, AI measures, prerequisites, risks and workforce impact
• AI ratings for every L3: work pattern, target AI mode, AI fit and risk tier
• A prioritization model with a risk-adjusted score and rank for every L2 capability, using your own ratings and weights
• An AI heatmap of the whole model
• A 40-question weighted AI readiness assessment
• A Welcome document, the capability map deck, standalone capability definitions and KPIs documents, the Excel workbook, the user guide
• Bonus files: a marketing glossary, A Practical Guide to Business Architecture, a capability modeling overview, an AI-ready capability profile template and capability relationship mapping templates
• Free corrections, and new versions free for 180 days

Every file names your organization and carries your license ID. Ratings describe a typical large enterprise and are a starting point for your own.

Where It Is Used

Marketing AI opportunity assessment. Score the 53 L2 capabilities with your ratings and weights to rank where AI is worth pursuing, from insight to content to campaign optimization. The heatmap gives the CMO a one-page view.

Setting review rules for AI-generated content. Use the target AI modes and oversight levels to agree which content AI may publish, which needs an edit and which needs an owner's approval. Teams and agencies then work to the same rules.

Marketing technology rationalization. Map each marketing application to the capabilities it supports to find overlapping tools, unused licenses and capabilities with no system behind them.

Scoping a marketing platform evaluation. Define the scope of an automation, content or analytics evaluation as a set of capabilities with definitions and KPIs, so vendors are compared on the same terms.

Agency and in-house operating model. Decide which capabilities stay in-house, which go to agencies, and which AI will change enough to shift that balance. The workforce impact notes inform the people plan.

Marketing integration after a merger. Map both marketing organizations to the same capabilities to spot duplicated teams, overlapping tools and gaps in the combined function, with L2 KPIs as a shared baseline.

Who Works With It

Business and enterprise architects. Use the model as the marketing reference layer and map applications, processes and initiatives to it.

CMO and marketing leadership. Use the heatmap and ranking to set AI priorities and decide what needs owner approval.

Marketing operations leads. Rationalize the technology stack and design workflows by capability.

Brand and content leads. Review AI profiles for content and brand capabilities and confirm what stays human.

Transformation and AI program leads. Use the scoring, KPIs and readiness assessment to plan and track the program.

A Blank Slate, Consultants, or a Reference Model

A marketing capability model with an AI layer can be built three ways, and the difference is mostly in how fast a trusted draft appears and where your marketers' time goes.

• Building it from a blank slate. Architects interview brand, content, campaign, digital and analytics teams, reconcile terms that differ among them, and run review cycles until the levels settle. AI profiles, risk tiers and scoring are then a second exercise with the same people.
• Hiring consultants to build it. A consulting team can bring a method and move quickly, but much of the effort drafts a generic marketing structure that every large organization shares. Keeping the model current after they leave usually falls to you.
• Starting from this model. You start with a cross-checked hierarchy, AI profiles on every L2 capability and a scoring model ready for your own ratings. Workshops refine a draft instead of starting from nothing.

Experts add most when they fit the model to your brands, channels and data and decide what the ranking means for budget. The ratings describe a typical large enterprise and are a starting point for your own.

First Steps

1. Read the Welcome document and the user guide.
2. Review the capability map deck with marketing leadership and align names with your own terms.
3. Check the oversight levels for content and campaign capabilities with the owners who approve them.
4. Set your weights in the prioritization model and produce the ranking and heatmap.
5. Run the 40-question readiness assessment and put missing data and skills on the plan first.

Read the Public Sample

The sample follows one thread through the package, campaign management, and is 0.62% of the content. From the Campaign Management (MK-3.1) AI profile:

• Work patterns: Coordination & orchestration, Analysis & insight, Content generation
• Target AI mode: Agentic
• Human oversight: Human-in-the-loop
• AI fit / Value / Feasibility / Data readiness: 4 / 5 / 3 / 3 (1–5)
• Risk tier: High
• Roadmap wave: Wave 3
• AI opportunity: Draft campaign plans from the brief, covering objective, audience, offer, message, channel mix, budget split and success measures, using the results of similar past campaigns
• What stays human: The Campaign Owner approves the campaign plan, budget and success measures, and confirms campaign readiness for the Launch Lead's go or no-go

Upgrade Credit

Start here and move up later: the full price of this edition counts toward the AI Transformation Blueprint for Marketing if you upgrade within 90 days. Email support@ciopages.com with your order number for a one-time checkout code.

Frequently Asked Questions

What is the difference between the two editions?

The AI-Ready Capability Model covers the capability map, an AI profile for every L2 capability, prioritization, the heatmap and the readiness assessment. The AI Transformation Blueprint adds value streams redesigned for AI, the business data model, agent specifications, use cases, responsible AI principles and controls, the operating model and the roadmap, a leadership presentation template, and bonus files on roles, operating model archetypes and transformation.

Can I upgrade from the Capability Model to the Blueprint later?

Yes. The full price you paid for the Capability Model counts toward the Blueprint if you upgrade within 90 days. Email support@ciopages.com with your order number for a one-time checkout code.

What happens after 180 days?

Your license to use the files does not end. Corrections are free for as long as you use the files. New versions released within 180 days of purchase are free: we email you a new download link when one is released. There is no renewal after that: you can buy a new version at 25% off its price.

Can I load the content into our own AI tools?

Yes, within the license. The Enterprise license allows internal tools, including your own assistants and agents. Neither license allows training, fine-tuning or prompting AI systems for third parties.

Does the package cover AI laws and regulations?

No, by design. It is business architecture: capabilities, value streams, data and the AI layer describe what marketing does and how AI fits, and they hold whichever laws apply where you operate. The risk tiers, principles and controls are durable practices your compliance team maps to your own jurisdictions.

Why not just ask ChatGPT or another AI assistant?

An AI assistant will list marketing capabilities quickly, and for a first orientation that may be all you need. The list will differ each time you ask, the levels will be uneven and nothing will have been checked. This package is built for decisions the CMO and finance will review: stable IDs across 5 L1, 53 L2 and 259 L3 capabilities, cross-references validated before release, an AI profile with AI mode, oversight and risk tier for every L2 capability, and a scoring model ranked on your own weights. An assistant remains a good way to query the model once you own it.