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AI Takes Over Customer Phone Calls

The 30 second story

Picture hiring a receptionist who never sleeps, never gets sick, and can handle a hundred conversations at once. Bristol-based Narwhal Labs has raised £20m to launch DeepBlue OS, a system that replaces human staff for customer communications. The platform handles phone calls, text messages, emails and WhatsApp chats automatically, responding to customers as if a person were typing or speaking. The company has not disclosed pricing, but the system is available to UK businesses now.

Why it matters

Customer service costs eat into every business. You pay staff to answer phones, reply to emails, and manage complaints. Most of these conversations follow predictable patterns: booking appointments, checking order status, handling basic queries. DeepBlue OS automates the entire process across every communication channel your customers use. Instead of hiring three people to cover phones, emails and social media, you install one system that works around the clock. The AI handles routine conversations automatically and only passes complex issues to human staff.

Customer service automation has moved from simple chatbots to systems that sound and respond like real employees.

Be transparent about it

Your customers will be talking to AI, not humans. Tell them upfront. When someone calls or texts, explain they are speaking with an automated system. Let them know what happens to their conversation and offer to connect them with a person if needed. Being honest builds trust and keeps you on the right side of UK data protection rules when recording or processing customer communications.

What this means for your business

  • Customer service becomes a fixed monthly cost instead of a growing payroll expense as you scale
  • You can offer 24-hour support without night shift premiums or weekend overtime
  • Response times drop from hours to seconds for routine queries like order status or appointment booking
  • Staff costs shift from answering repetitive questions to handling complex customer issues that need human judgement
Read the full story on UKTN

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