AI voice agents
AI receptionists struggle with accents because most are built on speech-to-text models trained mostly on standard English speech patterns, so they misread regional accents, older voices and non-native speakers far more often than neutral RP-style voices. This causes callers to repeat themselves, get misunderstood, or give up and hang up.
AI voice agents
AI agent training costs are falling because researchers, including a team at Microsoft, have found ways to cut the reinforcement learning overhead needed to make AI agents reliable. Less compute per training run means lower build costs for developers, and lower build costs are starting to show up as lower
professional services
Large finance firms are now using AI to review documents, monitor portfolio companies and source deals faster than analysts working manually, and this matters to small UK professional services firms because it shows where AI adds real value first: document-heavy admin, monitoring and communication tasks. The same categories apply at
AI receptionist
An AI receptionist is a voice AI system that answers your phone calls, qualifies leads, books appointments, and integrates directly with your CRM and calendar. It handles inbound enquiries 24/7 without hiring additional staff, and it sounds natural enough that most callers assume they are speaking to a human.
AI voice agents
AI voice agents can answer calls 24/7, qualify leads, and book appointments without taking a lunch break. That efficiency is exactly why service businesses are adopting them. But the moment you let AI run completely unsupervised, you create new problems that cost more than the labour you saved. The