Question 1

What does it mean to make mortgage AI governable?

Accepted Answer

It means putting approved governance into operation with control before consequential AI actions and reviewable evidence after them. A governable workflow still depends on the organization's policies, authority boundaries, security controls, review processes, and evidence requirements.

Question 2

What is Crittora?

Accepted Answer

Crittora is the control + evidence layer for mortgage AI. It helps mortgage organizations turn approved governance into enforceable controls before consequential AI actions and verifiable evidence after action, without replacing the governance and security systems already in place.

Question 3

What is a consequential mortgage AI action?

Accepted Answer

It is an AI-enabled or automated action that can change borrower, loan, document, pricing, payment, servicing, customer, or enterprise-system state. It creates an external effect rather than only producing a recommendation or draft.

Question 4

What AI-governance requirements apply to mortgage lenders and servicers?

Accepted Answer

Covered organizations should assess the separate Fannie Mae and Freddie Mac sources that apply to their origination and servicing activity. The requirements overlap but differ in dates and detail, so the official documents and appropriate counsel should govern applicability.

Question 5

What is execution-time control?

Accepted Answer

It is a decision point that evaluates whether a specific requested action is within configured authority before the action reaches a consequential system. Exact enforcement behavior and supported integrations must match the verified deployment.

Question 6

How can a mortgage organization control consequential AI actions?

Accepted Answer

Start by defining the actor, action, target system, purpose, permitted scope, approval conditions, and stop conditions for one workflow. An execution-time control can then evaluate the requested action against that configured authority before commit, subject to the verified product and integration.

Question 7

How is execution-time authorization different from IAM or API authentication?

Accepted Answer

IAM and API authentication establish identity and broad access; execution-time authorization asks whether this specific action may proceed now. It evaluates action-level authority in workflow context and complements rather than replaces identity and access controls.

Question 8

What does fail closed mean for an AI action?

Accepted Answer

It means an action is denied when the required authority or verification conditions are not satisfied. Any Crittora claim about fail-closed behavior must be limited to the tested product version, configured policy, integration point, and failure conditions.

Question 9

What evidence should exist after a controlled AI action?

Accepted Answer

Reviewers may need evidence of who or what acted, the requested action, applicable authority, the allow-or-deny decision, and what occurred. Exact fields, completeness, retention, export, access controls, and mappings depend on the verified release and engagement scope.

Question 10

Are logs the same as action-linked execution evidence?

Accepted Answer

Not necessarily. Logs record activity; action-linked evidence can connect an action to the authority and decision that governed it. Existing logs remain useful and may be part of the review record.

Question 11

Do Crittora evidence outputs prove model correctness, fairness, or legal compliance?

Accepted Answer

No. Evidence of an authority decision and execution context does not by itself prove model correctness, fairness, regulatory compliance, or legal sufficiency. Those conclusions depend on the organization's complete governance, testing, legal, risk, security, compliance, and audit work.

Question 12

Does Crittora certify compliance or guarantee a regulatory outcome?

Accepted Answer

No. Crittora provides technology controls and evidence capabilities. It does not provide legal advice, certify compliance, guarantee a regulatory outcome, or imply endorsement by Fannie Mae, Freddie Mac, MISMO, or a regulator.

Question 13

Does Crittora replace GRC, IAM, SIEM, workflow, compliance, or audit systems?

Accepted Answer

No. Crittora is an additional control and evidence layer within the programs and systems already in place. Its role is to connect approved governance and identity context to an execution-time decision and return relevant evidence to existing review processes.

Question 14

Where does Crittora sit in a mortgage AI workflow?

Accepted Answer

The intended control point sits at an agreed execution seam before a consequential action reaches a downstream system. Depending on the verified deployment, that seam may be a gateway, middleware layer, tool wrapper, workflow boundary, or agent-tool interface.

Question 15

What is a Crittora Mortgage Governance Pack?

Accepted Answer

It is preconfigured mortgage-specific governance control, authority, workflow, and evidence logic for a defined use case. CAAB provides execution-time control; availability, mappings, integrations, and deliverables for a pack are confirmed during evaluation.

Question 16

Where should a mortgage organization begin?

Accepted Answer

Begin with one consequential workflow whose actors, actions, systems, operating limits, and review needs can be defined clearly. A Mortgage AI Readiness Call frames that workflow and a practical next step; it is not a compliance assessment or certification.

Questions Mortgage Teams Ask Before AI Moves Into Production

GOVERNANCE FUNDAMENTALS

What does it mean to make mortgage AI governable?

What is Crittora?

What is a consequential mortgage AI action?

What AI-governance requirements apply to mortgage lenders and servicers?

Bring one consequential mortgage workflow.