AI voice and speech automation platforms combine text‑to‑speech, voice synthesis/cloning, speech‑to‑text, real‑time agents and conversation‑level analytics to automate spoken workflows across contact centers, healthcare, retail and meetings. As of late 2025, these systems increasingly pair large language models with neural audio stacks to power phone agents, booking assistants, meeting summarizers and multilingual translators while pushing capabilities like realistic cloned voices, low‑latency streaming, and on‑device inference for privacy and speed. Key categories include AI voice scheduling (automated booking and callback agents), text‑to‑speech and voice synthesis (high‑quality TTS, voice cloning and dubbing), transcription and captioning, conversation intelligence (insights, action items, sentiment) and AI meeting assistants (automated joining, notes, summaries). Representative tools illustrate the range: ZenCall.ai and Simple Phones provide real‑time AI phone agents and appointment handling; OpenCall AI targets HIPAA‑compliant patient scheduling and messaging; VOICEplug focuses on voice ordering for restaurants; Fireflies automates meeting transcription and action‑item extraction; ElevenLabs and Murf AI supply advanced TTS, voice cloning and multilingual voices; Krisp adds noise cancellation, real‑time transcription and accent tools; AI Phone enables live translation, captions and OCR. Adoption is driven by cost pressures, demand for 24/7 interactions, and productivity gains, but is balanced by rising attention to voice consent, deepfake risks, data governance, and regulatory compliance. Organizations adopting these platforms must evaluate latency, security/compliance (e.g., HIPAA), voice provenance, language coverage, integration with CRM/telephony, and controls for detection and mitigation of synthetic‑voice misuse.