No fake performance claims
ADA does not publish invented ROI, fake client results, synthetic case studies, or legal claims about guaranteed outcomes.
ADA Trust Center
How ADA earns trust before it earns the work.
AI Deployment Authority publishes research, workflow libraries, assessments, and implementation guidance for companies deciding where AI belongs in operations. This page explains the rules behind that work.
Trust Practices
Institutional trust without pretending to be a regulator.
Workflow-first research
Pages are reviewed against the same operating questions: what workflow is broken, what evidence exists, what AI can prepare, and what result should move.
Human-edited AI assistance
AI may support drafting, organization, and research workflows. Public pages are edited for accuracy, positioning, source quality, and commercial usefulness before publication.
Governance as trust layer
Risk, review, stop rules, and human ownership are included when they protect deployment. They are not used to reposition ADA as a policy or compliance body.
Source discipline
When third-party facts, frameworks, or market claims are used, ADA favors primary sources, named reports, and conservative interpretation.
Clear commercial boundary
ADA is a commercial research, advisory, and implementation platform. It is not a government agency, regulator, law firm, auditor, or formal standards enforcement entity.
Editorial Review
Every serious page has to pass a practical usefulness test.
01
The page must state a real workflow, not a generic AI theme.
02
The page must connect the workflow to revenue, margin, speed, capacity, conversion, retention, customer experience, or operating leverage.
03
The page must name where AI helps and what remains reviewed by a person.
04
The page must avoid fake statistics, unsupported ROI, invented client wins, and exaggerated certainty.
05
The page must include a practical next step: assessment, toolkit asset, workflow review, service path, or related workflow.
Data And Privacy
Review requests should stay practical and limited.
ADA asks for enough workflow context to understand the business problem: company type, workflow bottleneck, current tools, and the result the buyer wants to improve. Sensitive customer data, legal documents, protected health information, passwords, private keys, and confidential financial records should not be submitted through public forms.
Website forms, analytics, email delivery, cookies, and related services are governed by the site privacy policy and terms. For implementation work, any deeper review of private systems or records should happen through an agreed scope and appropriate access controls.
AI Use
AI may help prepare work. It does not replace accountability.
ADA uses AI-assisted workflows for research organization, drafting support, summarization, and internal review. That is consistent with the standard ADA recommends: AI prepares work, a person remains responsible for judgment, accuracy, claims, and publication.
The public workflow library is not a claim that every workflow has been deployed for a client. It is a reference library for deciding what a workflow would need before deployment: trigger, evidence, AI role, review point, stop rule, and measurement.
Institutional Layer