AI Governance Readiness Standard
A practical framework for responsible adoption of artificial intelligence.
The Problem
Artificial intelligence is entering organizations faster than leadership structures can adapt.
Most small and mid-sized firms assume AI adoption will occur through formal strategy.
In practice, it arrives through everyday work: drafting emails, summarizing documents, generating code, and analyzing information.
By the time leadership notices, AI tools may already be embedded in operational workflows.
The Governance Gap
Organizations rarely establish governance until after a visible problem appears.
Data exposure, compliance questions, and unclear decision authority often reveal the absence of oversight.
The earlier governance structures appear, the easier responsible adoption becomes.
The Standard
The Marshall AI Governance Readiness Standard provides a structured approach to understanding how artificial intelligence is entering an organization and how responsibility should be maintained.
The framework focuses on three areas:
- Visibility — understanding where AI tools are already being used
- Boundaries — defining what information and decisions must remain human-controlled
- Accountability — ensuring responsibility remains clear even as systems become more capable
Who This Is For
The framework is designed primarily for small and mid-sized organizations where technical capability is increasing faster than governance structures.
Typical environments include:
- Professional services firms
- Technology teams
- Financial and accounting organizations
- Leadership groups evaluating AI adoption
Next Step
Organizations interested in establishing responsible boundaries around artificial intelligence can begin with a conversation.