AI Intake | Restricted Public Channel
AI intake begins with classification, not document transfer.

Public channels should collect routing information, not sensitive records, credentials, protected files, or unreviewed operational detail.

ARE Global helps organizations define the intake boundary, redaction standard, human-review checkpoints, output-use limits, escalation path, and documentation record for AI-assisted workflows.

Open Structured Intake
Review AI Decision Quality

Classification gate
Three information classes before any AI-assisted work begins.

The intake path should determine what may remain public, what requires controlled handling, and what must not be submitted through public channels.

Information class

Permitted

Public

Organization name, responsible contact, general workflow type, intended use, review audience, urgency, desired output, and a short non-sensitive summary.

Information class

Scope required

Controlled

Redacted records, source materials, internal policies, workflow evidence, and supporting files may be considered only after written scope, authorization, and handling rules are established.

Information class

Do not submit

Restricted

SSNs, passwords, bank credentials, full card numbers, protected records, live credentials, security tokens, private keys, sealed files, and other restricted materials must not enter public channels.

Public intake warning
No attachments until scope.

Do not send SSNs, passwords, bank credentials, full card numbers, protected records, live credentials, security tokens, or restricted files through public channels.

Sensitive identifiers

No Social Security numbers, dates of birth, tax identifiers, full account numbers, identity documents, or unnecessary personal identifiers.

Access and authentication data

No passwords, recovery codes, one-time codes, bank credentials, API tokens, private keys, session data, or security tokens.

Protected or restricted records

No protected health records, sealed materials, confidential third-party files, regulated data, restricted records, or information subject to special handling.

Live security or misuse detail

No live vulnerabilities, unauthorized access paths, exploit instructions, bypass methods, or operational details that could enable misuse.

Intake control path
From non-sensitive inquiry to controlled decision-support record.

The operating sequence establishes fit, authority, handling rules, review responsibility, and output limits before records move into the workflow.

01
Non-Sensitive Inquiry

Identify the organization, responsible owner, workflow, intended AI use, review audience, urgency, desired output, and a short non-sensitive summary.

Output

Routing record without attachments or restricted information.

02
Scope and Authorization Review

Define the business purpose, lawful authority, information classes, participating systems, affected parties, existing controls, exclusions, and responsible reviewers.

Output

Written scope, authority statement, handling boundary, and named review owners.

03
Controlled Evidence Path

Establish redaction, source support, prompt rules, human-review checkpoints, escalation triggers, retention expectations, and permitted output uses.

Output

Documented workflow showing intake, redaction, AI support, human review, approval, retention, and production.

04
Decision-Quality Record

Separate known facts, source-supported analysis, assumptions, AI-assisted draft content, human-reviewed findings, unresolved limitations, and final approval.

Output

Review-ready record that shows what the AI supported, what a human decided, and what remains unresolved.

Decision-use boundary
Define what AI may support and what requires separate review.

AI-assisted output remains draft decision support until source support, assumptions, scope, sensitivity, and downstream use are reviewed by the responsible human authority.

Public inquiry
Permitted support

Non-sensitive routing, issue classification, general summary structure, intake completeness checks, and review-audience identification.

Separate review required

Attachments, credentials, protected records, regulated data, live security detail, or restricted files.

Documentation review
Permitted support

Draft chronology, issue list, missing-record checklist, non-sensitive index, and source-traceability prompts.

Separate review required

Final legal conclusions, unsupported allegations, unverified findings, or representation that a draft is an official record.

Risk review
Permitted support

Risk categories, control questions, options, decision-memo structure, escalation checklist, and unresolved-issue tracking.

Separate review required

Guaranteed risk ratings, fraud determinations, compliance certification, enforcement decisions, or automated final conclusions.

Operational decisions
Permitted support

Options, risks to consider, source checks, questions for human review, and workflow prompts.

Separate review required

Automated approvals, denials, account actions, payment releases, personnel decisions, legal positions, or other consequential actions without separate authority and review.

Typical work products
Written controls for safer AI-assisted operations.

Deliverables are tailored to the use case, review audience, information class, operating environment, and required decision quality.

Work product
AI Intake Boundary Checklist

Permitted fields, prohibited information, no-attachment rules, escalation triggers, public warnings, and routing expectations.

Work product
Prohibited-Data Register

Plain-language inventory of identifiers, credentials, protected records, restricted files, and operational details that must stay outside public or unapproved AI channels.

Work product
AI Workflow Map

Documented path covering intake, classification, redaction, prompting, source support, human review, approval, retention, and production.

Work product
Human Review Protocol

Named reviewer roles, required source checks, assumption review, sensitivity review, rejection criteria, escalation points, and approval responsibilities.

Work product
Prompt and Output Governance Notes

Internal instructions for safer prompting, source limits, assumption labeling, draft status, output-use restrictions, and recordkeeping.

Work product
Decision-Quality Memorandum

Known facts, source-supported analysis, AI-assisted draft notes, human-reviewed findings, open questions, limitations, risk flags, and approved next steps.

Reference environment
Framework-aligned without certification overclaim.
AI governance reference

Reference only

NIST AI Risk Management Framework

May be used as a reference environment for governance, mapping, measurement, management, oversight, and documentation discussions. Reference does not imply certification, approval, compliance, or endorsement.

AI output is not a final decision.

AI-assisted content must be reviewed for source support, accuracy, scope, assumptions, sensitive information, authorization, legal and policy boundaries, business impact, and downstream use before reliance.

Frequently asked questions
Public intake boundaries before the first file moves.
Can sensitive records be submitted through this page?

No. This page is informational and public. No attachments until scope. Do not send SSNs, passwords, bank credentials, full card numbers, protected records, live credentials, security tokens, or restricted files through public channels.

Does ARE Global provide automated decisioning or formal model validation?

No. ARE Global provides advisory, documentation, workflow review, and decision-quality support. It does not provide automated approval or denial decisions, formal model validation, certification, security testing, or guaranteed outcomes.

How does the NIST AI Risk Management Framework relate to this work?

It may be used as a reference environment for governance, mapping, measurement, and management discussions. Reference to the framework does not imply certification, approval, compliance, or endorsement.

What should the first inquiry include?

Provide the organization name, responsible contact, workflow type, intended use of AI, review audience, urgency, desired output, and a short non-sensitive summary. Do not attach records before written scope and handling rules are established.

Begin safely
Start with a short, non-sensitive workflow summary.

Provide the organization, responsible owner, workflow type, intended use of AI, review audience, urgency, desired output, and a short non-sensitive summary. Do not attach files before written scope and handling rules are established.

Open Structured Intake
Email a Non-Sensitive Inquiry

ARE Global Consulting LLC

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Email: alfonso.evans@areglobalconsulting.net
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ARE Global Consulting LLC provides advisory, documentation, workflow review, and decision-quality support only. It does not provide legal advice, automated decisioning, formal model validation, certification, security testing, or guaranteed outcomes. Copyright 2026 ARE Global Consulting LLC. All rights reserved.