Responsible AI
at DialPhone.

AI in business communications is moving faster than any procurement team can fully evaluate before signing a contract. The honest reality is that every modern UCaaS and CCaaS vendor — including DialPhone — uses third-party foundation models from Anthropic, OpenAI, and Google alongside first-party fine-tunes. The question for a buyer is not "does this vendor use AI" but "what does the vendor do with my data, who has audit rights, and what happens when the model gets something wrong."

The six commitments listed below cover the parts of that question that show up in real procurement reviews: data residency and training scope (your conversations do not become training data for a shared model), human-in-the-loop defaults (an AI-drafted SMS or summary is reviewable before it goes to a customer or into a record system), PII redaction at the boundary (PHI, PCI, and personally identifying tokens are detected and tokenized before model inference), per-decision audit logs (every AI action is logged with model version and human reviewer), published model cards (capabilities, limits, and bias-testing results disclosed for every feature), and complete opt-out (turn off any AI feature without losing service SLAs or paying more).

If your security or compliance team needs to walk through the data-handling specifics for a specific AI feature — Smart Virtual Concierge inbound calls, AI meeting summaries, AI SMS drafting, predictive CSAT scoring, or Conversation Intelligence speech analytics — the Trust Center documents each one with subprocessor scope, retention policy, and per-feature opt-out controls. For HIPAA-covered features, the HIPAA page lists exactly which AI inference paths are inside the BAA boundary. For EU residency, the GDPR page describes how model inference for EU customers stays inside EU subprocessor regions.