Which telecom and messaging compliance rules are noted as relevant in the industry nuances?
Relevant rules include TCPA (Telephone Consumer Protection Act), STIR/SHAKEN and carrier anti‑abuse measures, and other telecom/carrier regulations governing robocalls and caller ID authentication.
Which data privacy and consumer-protection regulations are noted as relevant to Linkage’s industry?
GDPR, CCPA/CPRA, ePrivacy/electronic communications rules, and consumer protection/advertising laws (e.g., FTC equivalents) are listed as relevant.
Which payment and card-security standard is noted as relevant?
PCI DSS (Payment Card Industry Data Security Standard) is listed as relevant for handling, storage, or transmission of cardholder data.
What legal considerations related to call recording are mentioned?
Call recording and wiretapping laws vary by jurisdiction (one‑party/two‑party consent) and determine whether recording is permitted and how disclosure must be presented to customers.
What legal considerations related to AI transparency are mentioned?
The research states that transparency about AI agent versus human is required, including disclosing that responses may be AI‑generated and providing human handoff options.
What liability concerns are highlighted for AI-driven order or advice handling?
Liability for incorrect orders or harms from automated advice is noted, and contracts, disclaimers, and escalation mechanisms are recommended to limit liability.
What considerations are listed regarding third‑party integrations?
Integrations with POS, reservation systems, and social platforms impose contractual constraints and SLAs that affect content and feature claims.
What accessibility-related legal requirements are mentioned?
Accessibility legal requirements such as the ADA and Equality Acts are noted as relevant to customer-facing communications.
What sensitivity considerations are listed for payment and card details?
The recommended approach is to never expose full card numbers in chat/voice, use tokenization and PCI‑compliant processors, and redact sensitive data from logs.
What sensitivity considerations are listed for allergies and health-related information?
Allergy and dietary information should be treated as potentially sensitive, include clear disclaimers, escalate high‑risk cases to humans, and avoid offering medical advice.
What sensitivity considerations are listed for personal data and guest memory?
Guest memory and CRM-like data should be collected only with explicit consent, accompanied by clear privacy notices, options for deletion/opt‑out, and minimized retention for analytics.
What sensitivity considerations are listed for call recording and monitoring?
The recommended approach is to provide upfront audible or written notice, implement jurisdictional consent flows, and offer human‑handoff options.
What sensitivity considerations are listed about AI impersonation and synthesized voices?
The guidance is to explicitly state when an AI is speaking, avoid mimicking individual employees, and not use synthesized voices without consent.
What moderation and abuse-handling guidance is provided?
Implement moderation filters, safe fallbacks, and policies for terminating or escalating abusive interactions.
What operational integration nuances are highlighted for POS and inventory?
Real‑time POS and inventory integration requirements are important so conversational content reflects availability, pricing, and menu variants to avoid order errors.
What customization capabilities are noted for brand voice and messaging?
The research notes brand voice customization and configurable messaging templates and voice parameters so the AI reflects each restaurant’s tone.