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Essential concepts about artificial intelligence and language models.
The plain-English definitions of every term you will meet when evaluating AI voice agents: from STT and TTS to barge-in, warm transfer, overflow and speed-to-lead. A reference hub for decision-makers, not engineers.
What conversational AI actually is, why the phone is still where small businesses win and lose customers, the myths that delay decisions, and a four-step path to start without a months-long project.
Everything a business owner needs to know about AI phone agents in 2026: what they do, how they work, what they cost, what the law requires, how to choose a provider and how to implement in days - the cornerstone guide.
Short answer: yes, with transparency. What EU rules require from businesses using AI voice assistants - identification, recording notices, data protection - and the five-point compliance setup that protects both your callers and your business.
Three technologies answer business phones automatically, and they could not be more different: the recording that informs, the menu that routes, and the assistant that converses and acts. What each one does, what callers experience, and when each makes sense.
Using an AI assistant on your phone line is fully compatible with the GDPR - if you get five things right: transparency, lawful basis, data minimisation, retention and a proper processor agreement with your provider. The practical checklist, without legalese.
Three technologies work in a fast loop every time an AI answers a phone call: speech recognition, a language model and voice synthesis. Here is what each one does, why latency and interruptions matter, and what actually separates a natural conversation from a robotic one.
An AI receptionist answers your business phone 24/7 with a natural voice, books appointments, answers common questions and hands complex calls to your team. Here is how it works, what it can and cannot do, and how to tell a good one from a gimmick.
