Govern
Set direction, establish accountability and evaluate whether the organization has the competence and controls its AI activities require.
Announcement · September 2026
Introducing the Edifice Training Foundation Series
Competence for the responsibilities people carry.
What must someone be able to do before an organization can entrust them with an AI responsibility—and what evidence supports that judgment?
Monforte is developing the Edifice Training Foundation Series around that question.
Series in development
The starting point
Define the responsibility.
Establish the competence.
A shared understanding of AI is a useful beginning. Readiness for an assigned responsibility requires more.
The intended work, expected outcomes, operating conditions and consequences of error determine what a person needs to know, judge and do. They also determine what evidence is sufficient.
Four groups of responsibility
Govern. Own. Enable & Assure. Use Responsibly.
These are responsibilities, not ranks. One person may carry more than one.
Own
Carry responsibility for an AI-enabled process or application, its intended outcomes and the decisions made throughout its use.
Enable & Assure
Provide the specialist support, controls and evaluation needed to implement AI use and examine the evidence behind governance claims.
Use Responsibly
Apply AI within the limits of the assignment, check outputs appropriately and recognize when to stop or seek help.
Shared foundations. Relevant context.
Industry context begins at the foundation.
Some foundations are common: understanding limitations, handling information appropriately, checking outputs and knowing when to seek help.
But reviewing an AI inspection result, tracing an AI-assisted financial conclusion and verifying an agent’s booking require different knowledge, judgment and evidence.
The Series combines shared foundations with industry context. Preparation becomes more specific as the application, responsibility and organization’s operating conditions demand it.
Explore the planned industry coverage ↗Evidence and accountability
Learning evidence supports an organizational decision.
Realistic practice and assessment are designed to produce evidence within a clearly stated scope.
That evidence supports the employer’s decision about readiness. The organization retains responsibility for defining the assignment, evaluating competence and providing the authority and means to act.
Course completion alone does not authorize a person to carry an AI responsibility.
Help shape the Series
Bring one consequential AI use.
Tell us about the work, the responsibilities around it and what people need to demonstrate.
The Series is in development. We invite organizations to discuss the competence each assignment requires and the evidence needed to support it.
Contact Monforte on LinkedIn ↗Use the Message button on the Monforte Page to begin a conversation.
The Competence Series · Part Three
Building the Architecture of AI Competence
Michael Hall examines how responsibility, industry context and evidence connect in an organization’s approach to AI competence.
Read the published article on LinkedIn ↗