Responsible AI + data trust

Responsible AI starts with what the system is not allowed to do.

AI can support documented workflows. It does not replace authorized people, applicable authorities, attorneys, or qualified advisers, and it should not act outside approved use, access, and review boundaries.

The trust model

Boundary first. Human decision last.

A responsible workflow begins with approved purpose and minimum data, then ends with a person who has the authority and context to review the work.

01

Minimum necessary data

Use only the information needed for an approved task.

02

Approved tools

Choose platforms based on the client environment and engagement scope.

03

Defined use cases

Document what the system may and may not help with.

04

Permission boundaries

Match access to authorized roles and responsibilities.

05

Human review

Authorized people evaluate AI-assisted output before action.

06

Documented accountability

Keep decision ownership visible from draft through approval.

Sensitive-information boundary

Not every task belongs in an AI workspace.

Child, family, employee, health, payroll, background-check, and licensing information must not be placed into public AI tools without an approved use case, agreement, platform, access model, and appropriate review.

Data minimization

Use only the minimum information necessary for the approved task. Remove or redact identifying information when it is not needed.

Human responsibility

AI-assisted output should be treated as a draft. Authorized people review, correct, approve, and remain responsible for the decision.

No autonomous compliance

APCC does not present AI as a licensing authority, compliance determination, legal opinion, or guaranteed inspection solution.

Approved platforms

Use depends on the client environment.

APCC may configure OpenAI/ChatGPT, Microsoft Copilot, Microsoft 365, SharePoint, OneDrive, Google Workspace, Google Drive, and other approved commercial or client systems as appropriate.

Platform use depends on the client environment and engagement scope. This does not imply universal native integration. Workspace ownership, access, retention, export, deletion, offboarding, subprocessors, confidentiality, incident response, and client authorization must be defined for the engagement.
State-specific guidance

Validate before presenting.

Jurisdiction-specific guidance should be used only for validated jurisdictions, with sources and last-reviewed information documented. Clients remain responsible for verifying current obligations.

No outcome guarantees

Support the work. Keep judgment honest.

APCC does not guarantee licensing, compliance, inspection, financial, enrollment, staffing, or operating outcomes.

A clearer next step

Define the boundary before you configure the tool.

Bring a proposed AI use case into a discovery conversation, or use the assessment to identify a responsible-AI gap in the present operating system.

The assessment provides educational and operational guidance. It is not legal advice or a guarantee of compliance or inspection outcomes.