What we do, and what we do not claim.
Grounded answers about AI Evidence Operations: governed AI workflows that collect, structure, review, approve, log, and maintain business evidence before it becomes a claim, report, product passport, or system action.
Frequently asked questions.
[01]What does AequAI do?+ open– close
AequAI helps teams adopt AI through workflow maps, evidence maps, approval gates, simulations, governance starter material, and decision briefs.
[02]What is AI Evidence Operations?+ open– close
AI Evidence Operations are governed AI workflows that collect, structure, review, approve, log, and maintain business evidence before it becomes a claim, report, product passport, or system action.
[03]Is AequAI a tool vendor?+ open– close
No. AequAI can prepare implementation-partner briefs, but the service layer starts with workflow, evidence, responsibility, and adoption architecture.
[04]Does AequAI implement production systems?+ open– close
Not in the content described here. Implementation is a separate gated scope and may belong with platform or implementation partners.
[05]Does AequAI replace qualified advisors?+ open– close
No. Legal, tax, employment, AI Act, securities, DPP, tokenization, carbon, and regulated topics become question packs, decision support, and advisor handoffs.
[06]Does AequAI handle private data?+ open– close
The default posture is synthetic or sanitized material. Private data handling requires a separate approved private boundary. Do not send credentials, private client files, customer data, payment data, tax identifiers, legal files, or private supplier records.
[07]Does AequAI create official product passports?+ open– close
No. AequAI maps product-data and evidence readiness before platform, advisor, or implementation-partner work.
[08]Does AequAI approve sustainability or carbon wording?+ open– close
No. AequAI maps evidence needs, assumptions, gaps, and wording risks for human and advisor review.
[09]Does AequAI create or sell tokens?+ open– close
No. AequAI screens no-token alternatives, rights questions, verifiability options, and advisor gates.
[10]Are the sample reports real customer examples?+ open– close
No. They are fictional sample outputs based on synthetic companies and inputs. They demonstrate structure and decision format only. See the fictional sample reports.
[11]What is the safest first step?+ open– close
Name one controlled workflow. Map the evidence. Simulate the AI-assisted process. Add human approval gates. Then decide proceed, shrink, park, or kill.
The language we use, and the language we avoid.
// claim-safe phrases
// we never imply that AequAI
Still have a question?
Tell us the workflow and the worry. We will name the smallest safe first step, and what stays out of scope.