SME Transition Report

AI Adoption Center

Practical AI adoption guidance for SMEs

Frameworks, training, resources, and support-pathway context for businesses adapting to the AI transition.

Adoption library

Reference sources for the SME AI transition

Resources

Curated resources that help SMEs understand AI policy, interoperability, benchmarks, and the broader adoption landscape.

The AI Adoption Center curates a small set of primary-source resources that help SMEs build context around AI adoption.

This section is intentionally selective rather than exhaustive. It supports the broader adoption journey by surfacing governance references, benchmark reports, interoperability material, and a glossary of common terms used across the site.

The goal is to reduce uncertainty for businesses that need to understand the transition before making decisions about training, workflow changes, funding options, or implementation pathways.

Governance & policy

Reference material

Primary-source guidance and reports that help organizations build context before choosing tools, training, or implementation paths.

NIST AI Risk Management Framework

External

A practical framework for identifying, managing, and governing AI-related risks across the lifecycle.

NIST

NIST AI Resource Center

External

A central index of NIST AI guidance, standards activity, and supporting materials relevant to organizations adopting AI.

NIST AI Resource Center

OECD AI Policy Observatory

External

International policy, measurement, and governance resources covering national AI strategies and policy developments.

OECD.AI

EU AI Act Overview

External

European Commission guidance and overview material on the EU regulatory framework for artificial intelligence.

European Commission

Reports & benchmarks

Reference material

Primary-source guidance and reports that help organizations build context before choosing tools, training, or implementation paths.

Stanford AI Index Report 2025

External

A benchmark-oriented annual report covering global AI research, industry, policy, and adoption signals.

Stanford HAI

Protocols & interoperability

Reference material

Primary-source guidance and reports that help organizations build context before choosing tools, training, or implementation paths.

Model Context Protocol

External

Official introduction and specification-oriented documentation for connecting AI systems to tools, services, and data sources.

Model Context Protocol

Glossary

Core terminology for AI adoption

Open glossary

AI Model

A trained computational system capable of generating outputs based on input data.

Agent

Software capable of performing tasks autonomously by interacting with tools or systems.

Agentic System

A system where AI performs multi-step workflows toward a defined objective.

Model Context Protocol (MCP)

A protocol allowing AI models to interact with tools, data sources, and services.