These are potential applications of Squire’s architecture. They are not live industry products or certifications.
Everyday AI and consumer decisions
An answer, a suspicious request, a purchase, or a media claim offers a specific object to examine. FTC reported about $16 billion in fraud losses for 2025. This is reported fraud overall, not an estimate of losses caused by AI or losses Squire can prevent. FTC: reported fraud losses in 2025
Teams, research, and operations
Proposed use: review an AI-assisted brief against sources and the requester’s intent; record assumptions before they enter a plan. Start with a bounded artifact and measure useful findings, false alarms, time, and cost.
Legal work
Potential use: surface unsupported citations, inconsistencies, and questions for counsel. ABA guidance describes duties including competence and confidentiality when lawyers use AI. A Squire check does not replace legal judgment, a professional’s responsibilities, or jurisdiction-specific rules. ABA: ethics guidance on AI tools
Healthcare
Potential use: controlled review of non-patient-facing content with qualified oversight. HHS explains that cloud handling of ePHI can require business-associate arrangements, safeguards, and risk analysis. This preview is not presented as an approved place for patient records or clinical decision-making. HHS: HIPAA and cloud computing
Financial and other regulated decisions
Potential use: make assumptions and review history visible. Suitability, authorization, recordkeeping, and regulatory classification depend on the actual service and jurisdiction. We have not assessed Squire for a regulated financial use. Do not turn a generic receipt into a compliance determination.
The expansion rule
Prove one bounded workflow before claiming an industry. Establish the data permissions, specialist oversight, protocol limits, evaluation method, and release evidence first.
If it matters, Squire it.
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