Marketing. Run as a System.

The AI Marketing Operating System for modern marketing

Connect strategy, execution, measurement, and optimization in one governed system—built for measurable Productivity + Precision.

Context-Grounded · Governed · Explainable · Human-Led

Built on more than three decades across product, search, AdTech, and digital marketing, including roles at Microsoft, AltaVista, InfoSpace/Verizon, and AOL Search.

mAI in 30 seconds

One architecture. Four things to know.

A reusable AI marketing operating architecture that connects strategy, decisions, execution, measurement, and governance.

What it is

A reusable AI marketing operating architecture.

What it connects

Business context, decisions, workflows, measurement, and governance.

Who it is for

Marketing organizations, enterprise AI teams, and technology platforms.

Why it matters

AI becomes an operating capability, not a collection of disconnected tools.

AI tools create outputs. mAI creates an operating model.

mAI connects business context, execution, decision intelligence, measurement, and governance into one operating system.

How it works: execution, decision intelligence, and accountable human oversight operate from shared context and measurement.

01 · OperateAI Marketing OS

Turns strategy into coordinated marketing execution across workflows, data, technology, and performance.

02 · DecideAI Marketing Brain

Interprets business context and performance signals to recommend what marketing should do next—and learn from measured outcomes.

03 · GovernHuman Command

Keeps people accountable and in control through governance, explainability, approvals, and decision boundaries.

Choose the operating model

One mAI architecture. Two deployment models.

Use the same governed operating architecture with the deployment model that matches your team, control requirements, and technology environment.

Managed deployment

Managed mAI

Operated with marktgAI. Run mAI with your business context, governance, and performance signals.

  • Full-lifecycle, cross-channel operation
  • Faster execution with less manual operating work
  • P² measured against documented baselines

Best fit: teams that want an experienced operating partner and faster operating leverage.

Book a Strategic Conversation →

Private deployment

Enterprise mAI

Deployed within your organization. Integrate mAI with your context, workflows, data, and existing technology environment.

  • Built on business context and operating requirements
  • Integrated with the existing marketing and data ecosystem
  • Governed, explainable, and approval-controlled

Best fit: enterprises requiring data sovereignty, integration depth, and internal control.

Explore Enterprise mAI →

Fits your existing stack

mAI is the intelligence and operating layer, not a rip-and-replace platform.

Keep the systems your teams already use. mAI adds company context, governed decision intelligence, orchestration, measurement, and learning across them.

Inputs
Business context, customer and performance data, brand rules, objectives, and operating constraints.
mAI Intelligence Layer
Company context, decision logic, orchestration, governance, measurement, and accountable human oversight.
Systems + Outputs
CRM, analytics, advertising, content, email, social, automation, reporting, and other connected workflows.

Explore the mAI Architecture →

1. Business Context

Goals, ICP, positioning, and priorities.

2. Context & Knowledge

Approved knowledge, brand rules, and enterprise policies.

3. AI Marketing Brain

Interprets signals, recommends actions, and learns.

4. AI Marketing OS

Orchestrates workflows into measurable operating cycles.

5. Measurement & Decision Intelligence

Turns measurement into explainable action.

6. Continuous Learning

Feeds approved outcomes and human feedback into controlled context, playbook and operating-model refinement.

Governance + Human Command · Across Every Layer
Human accountability spans the entire system—from strategy and brand to budgets, audiences, approvals, privacy, policy, and other material decisions.

Built by marktgAI. Designed as Intellectual Capital.

From Tools to Systems. From Activity to Outcomes.

mAI is reusable AI marketing operating IP. The Framework codifies architecture, decision logic, governance, and deployment methods for application across enterprise environments and integrations.

Framework

Operating architecture connecting workflows, intelligence, governance, and measurement.

Decision Logic

Context and governed decision models shaping recommendations and actions.

Governance

Human approvals, operating boundaries, evidence discipline, and accountability.

Deployment Methods

Playbooks for managed, private enterprise, and integration deployments.

Measured deployment learning feeds back into the operating system and implementation playbooks.

Where mAI Creates Strategic Value

The architect behind the system

Arnaud Fischer | Founder & CEO | AI Marketing Systems Architect

mAI turns 30+ years of marketing, product, search, advertising, and digital operating experience into reusable IP. The mAI Framework codifies that experience into architecture, decision logic, governance, deployment, and measurement.

Product + Search
Digital products and search operations.
Marketing + AdTech
Marketing, advertising, data, and digital ecosystems.
System Design
Operating knowledge encoded into the mAI Framework.

Leadership →Technology →White Paper →

Growth Organizations

Operate mAI with an experienced partner and measure performance against your existing marketing baseline.

Enterprise Marketing Leaders

Deploy mAI across teams and systems with enterprise control, explainability, approvals, and baseline-based P² measurement.

Platforms & Strategic Partners

Extend reusable mAI operating IP through integrations, licensing, or strategic collaboration while preserving governance, measurement, and organization-specific context.

Proof, not promises

mAI in Practice

Evidence before claims

Performance claims are presented with their evidence context—so visitors can distinguish reported outcomes, operating targets, and validated claims.

Applied Evidence
Reported outcomes tied to a specific engagement and evidence context.
Operating Targets
Objectives defined against documented baselines before optimization.
Validated Claims
Claims supported by an explicit validation standard and evidence trail.

See the mAI Evidence Methodology →

Operating credibility · built on decades of experience

Selected enterprise experience

Decades of product, search, AdTech, digital marketing, and growth leadership inform the operating perspective behind mAI.

MicrosoftYahooOmnicom GroupGLAMAOLIBMAltaVista

Meet the Architect →

Evaluate the system

Executive Q&A

Concise answers for executives evaluating the mAI operating model, enterprise deployment, governance, differentiation, and measurable value.

01 · What is marktgAI?

marktgAI develops the mAI Framework: a governed operating architecture combining the OS, Brain, and Human Command.

02 · How is mAI different from general-purpose AI?

mAI adds organization-specific context, workflows, decision logic, governance, measurement, and learning around foundation models.

03 · Can mAI operate inside an enterprise?

Yes. Enterprise mAI works within the existing environment with privacy, governance, explainability, approvals, and control.

04 · OS, Brain, and Human Command — what changes?

OS: runs the work. Brain: improves decisions. Human Command: keeps people accountable for strategy, brand, budgets, and approvals.

Together, they separate execution, decision intelligence, and accountable oversight.

05 · How is value measured?

P²: Productivity + Precision measures operating efficiency and agreed performance KPIs against documented baselines. Targets are not guaranteed outcomes.

06 · Where should an executive go next?

Inspect the Architecture, Evidence Methodology, or White Paper.

Each provides a deeper view of how the operating model is structured, governed, and evaluated.