AI Receptionists Are Facing Backlash in GP Surgeries. Why Care Homes Need a Different Approach.

AI receptionists are arriving in NHS GP surgeries. QuantumLoop EMMA, InTouchNow, and X-on Surgery Assist are now active at practices across the UK, routing calls, collecting information, and triaging patients before they reach a human. The rollout is backed by NHS strategy and is accelerating in 2026.

Early feedback is mixed. At one Sheffield GP practice, residents reported that elderly callers found themselves "going in circles" with the AI system, with some experiencing booking errors. The practice acknowledged the issues. The experience is not universal — many callers report positive results — but it reveals something important: AI call handling works differently in different contexts, and getting the context wrong has real consequences.

For care home managers evaluating AI for their phones, the NHS experience is worth understanding before committing to anything.

Why a Care Home Is Not a GP Surgery

The people calling a care home are not the same as the people calling a GP surgery, and neither are the calls.

A GP surgery handles a high volume of structured, repeatable enquiries: appointment booking, prescription requests, test results. The information a caller needs to provide is predictable. AI that collects structured data — "press 1 for appointments, press 2 for prescriptions" — maps onto that structure reasonably well.

A care home receives a different kind of call. A family member calling about a parent for the first time is often anxious, uncertain what to say, and looking for a sense of the people behind the home before they commit to anything. A placing social worker has specific questions and a short window. A resident's relative calling at 7pm with a concern about medication needs to reach someone — and if they cannot, the stakes are higher than a missed GP appointment.

AI that routes calls by menu does not serve these callers well. And unlike a GP surgery, the reputational cost of an elderly family member "going in circles" when they are already in distress is immediate and lasting.

The Problem AI Should Actually Solve in a Care Home

The real problem in most care homes is not call routing — it is visibility and follow-through.

Most care home managers know they receive calls they cannot always answer, particularly in evenings, at weekends, and during busy shifts. They know that missed enquiry calls represent lost occupancy. What they do not always have is a reliable way to know which calls were missed, what was said, and whether a response actually happened.

That is the problem AI call monitoring is designed to solve: recording what arrives, summarising what matters, and surfacing the calls that need a human response before they go cold. The human still makes the follow-up call. The AI ensures they do it with the right information, to the right person, within the hour when conversion chances are highest.

This is a different category from an AI receptionist that replaces human answering. It is more conservative, more reliable in emotionally complex situations, and considerably easier to explain to a family member who might reasonably be cautious about AI.

The Smarter Starting Point

Before asking "will AI answer my care home's calls?", ask "will AI help my team respond to every call that matters, quickly and with the right information?"

For most care homes in 2026, the answer to the first question is premature — the technology works better in higher-volume, more structured environments than a care home phone line. The answer to the second question is available now.

Monitoring first, automation second. That is the sequence that builds trust with families, staff, and inspectors — rather than repeating the mistakes that are now making headlines in GP surgeries.

CareTime's Silent Guard records and summarises incoming calls, delivering a Morning Brief to your team each morning so they know exactly what arrived and what still needs a response. Start a 30-day pilot.