Resources & frameworks

Practical frameworks for responsible AI decisions.

Explore M37’s working methods, decision frameworks and supporting resources.

M37 / Working modelsStudy 04

Four connected capabilities

01020304A foundation for lasting value
01

AI Transformation Strategy

A four-pillar framework for building the organizational capabilities required to leverage AI continuously.

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M37 / Working modelsStudy 05

One model. Three layers.

PersonalFunctionalAgentic
02

AI Operating Model

A three-layer model for scaling AI from personal capability to functional and agentic execution.

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M37 / Working modelsStudy 04

Four connected capabilities

01020304A foundation for lasting value
03

Canonical definitions

Clear, practical definitions for AI Process Optimization, Synthetic Customer Simulation, Decision Intelligence and Agent Fleet Management.

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Definitions

Language that stays consistent.

Decision Intelligence

Combines data, analytics, AI, business context, risk and human judgment to improve how decisions are structured, evaluated and explained.

Agent Fleet Management

The operational discipline and technology used to run, monitor, coordinate, govern and control multiple AI agents.

Model routing

Selecting models for tasks based on capability, accuracy, cost, latency, privacy, control and domain requirements.