It is 2:17am. Your on-call vet has been asleep for 40 minutes after a GDV surgery that finished at 1am. The phone rings. A panicking owner — her cat vomited once after eating grass. Not an emergency. But your vet is now awake, adrenaline spiking, unable to sleep again until 4am. The next call at 3:30am is a dog hit by a car — a genuine emergency — but the vet is already exhausted. 55% of overnight calls are not emergencies. An Air Landline triages every call so your vet is only woken when it truly matters.
Out-of-hours veterinary care has a fundamental triage problem. Every call feels like an emergency to the owner — their pet is their family member and something is wrong at 2am. But clinically, 40–60% of OOH calls are not genuine emergencies. A dog that vomited once. A cat with a slight limp. A rabbit that seems "a bit quiet." These animals need a morning appointment, not a midnight call-out. The problem is that without triage, every single call wakes the on-call vet.
An Air Landline triages every overnight call with structured clinical questioning, routes genuine emergencies to the on-call vet within seconds with full clinical details captured, provides non-urgent callers with species-specific monitoring advice and reassurance, books morning appointments with the referring practice and compiles an overnight handback report. Your vet sleeps when they can. Your emergencies are never delayed. Your owners feel cared for.
See how the AI separates a genuine emergency from a non-urgent case — in under 60 seconds.
Different clinical presentations need different urgency levels. The AI classifies every call before it reaches a human.
AI identifies: not breathing or gasping, unresponsive or collapsed, active uncontrolled haemorrhage, choking on foreign body, suspected anaphylaxis. Connected to on-call vet within 30 seconds. Clinical details transmitted before pickup. Zero delay. Every second matters in these presentations.
AI identifies: known toxic ingestion (chocolate, xylitol, grapes, lilies, antifreeze), active seizure or post-ictal, GDV symptoms (bloating, non-productive retching), road traffic accident (conscious), dystocia (active labour complications). Connected to vet within 2 minutes with full history. Time-critical but stable enough for brief clinical capture.
AI identifies: persistent vomiting (3+ episodes), bloody diarrhoea, acute abdominal pain, limb at abnormal angle (suspected fracture), eye injury or sudden blindness, acute urinary obstruction (straining, no urine). Vet contacted with clinical summary. Owner advised to attend within 1–2 hours. Not immediately life-threatening but needs overnight assessment.
AI identifies: single vomit (otherwise well), mild diarrhoea (eating and drinking), slight limp (weight-bearing), minor wound (not bleeding), "seems a bit off" (eating, drinking, responsive). Owner given specific monitoring criteria, reassurance and a morning appointment with their daytime practice. Vet not disturbed. Owner feels cared for.
AI captures: what was ingested, how much, how long ago, pet's weight, any symptoms yet. Cross-references common toxic substances and doses. Genuinely dangerous ingestions (antifreeze, xylitol, lily exposure in cats) are escalated immediately. Minor concerns (small amount of chocolate, ate a bit of onion) receive monitoring advice. The 2am "my dog ate chocolate" call — handled correctly every time.
AI captures: species, breed, how many pups/kittens expected, how long in active labour, time since last delivery, any visible stuck puppy/kitten, any green discharge without delivery. Dystocia criteria assessed — if met, immediate escalation. Normal pauses between deliveries reassured with monitoring advice. The most time-sensitive OOH presentation after trauma.
AI captures: what surgery was performed, when, what the concern is (wound swelling, bleeding, not eating, vomiting). Cross-references against normal post-op recovery expectations. Genuine complications escalated — minor post-op concerns reassured with advice and morning follow-up booked. Prevents unnecessary overnight visits for normal recovery signs.
AI captures: known condition (diabetes, epilepsy, Cushing's, Addison's, heart failure), what has changed, current medications, last vet visit. Acute deterioration escalated — diabetic crisis, status epilepticus, Addisonian crisis. Mild flares reassured with monitoring criteria and morning appointment. The owner knows their pet is unwell — AI determines if it is an emergency or a chronic fluctuation.
The AI runs a veterinary-specific triage protocol based on emergency presentation guidelines. It does not ask generic questions — it asks the questions an experienced veterinary nurse would ask: "Is your pet breathing normally — I need you to watch their chest for me. Is it rising and falling regularly?" ... "Is there any active bleeding? If so, where and is it a steady flow or spurting?" ... "Is your pet conscious — are their eyes open and are they responding to you?" Based on the clinical picture, the AI classifies the call into one of four triage categories: resuscitation (immediate), emergency (urgent), urgent (same night) or non-urgent (morning referral). Life-threatening presentations bypass everything — the on-call vet hears their phone within 30 seconds with the clinical summary already on screen.
This is the feature that improves clinical outcomes. For every case that warrants attendance, the AI captures a structured clinical summary while the owner is driving to the hospital: "Bella — 4-year-old female entire Labrador, 28kg. Ingested approximately 200g dark chocolate 45 minutes ago. Currently vomiting, hyperactive, heart rate feels fast to owner. No known medical history. No current medications. Owner ETA 15 minutes." The receiving vet reads this summary before the owner arrives. They are already calculating theobromine dose per kilogram, preparing emesis induction drugs and alerting the nurse. When Bella walks through the door, treatment starts immediately — not after 5 minutes of history-taking from a panicking owner who cannot remember which chocolate or how much.
Non-urgent callers are not dismissed — they are cared for with specific, species-appropriate monitoring advice: "Based on what you have described, Bella is not in immediate danger. She has vomited once but is otherwise eating, drinking and responsive. Here is what I need you to watch for overnight — if she vomits again, if she becomes lethargic or unresponsive, if you see blood in the vomit or stool, or if she stops drinking, please call us back immediately and we will reassess. Otherwise, your daytime vet can see her first thing in the morning — I have noted the details for them." The owner hangs up feeling heard, informed and confident they know what to watch for. They do not feel fobbed off. If the situation escalates, they call back and are re-triaged with the full history of the earlier call included.
Every referring practice receives a complete overnight report at 7am: every call from their registered clients, the triage outcome, whether the client attended, the clinical summary if they were seen, any treatment given, and follow-up instructions. "Mrs Jones called at 11:45pm re Bella (6yo FS Lab). Single vomit, otherwise well. Triaged as non-urgent. Given monitoring advice. Referred back for morning appointment. No escalation overnight." The referring practice's morning vet has the complete picture before their first appointment. Zero lost information. Zero owner surprise when they call at 8:30am and the practice already knows about the overnight call.
This is not a feature — it is the fundamental purpose of the system. On-call work is destroying vets. RCVS data, BVA surveys and Vetlife statistics all point to the same conclusion: being woken repeatedly overnight for non-emergencies is one of the primary drivers of veterinary burnout, mental health deterioration and career abandonment. The AI acts as a clinical gatekeeper — the vet is only disturbed when the clinical picture warrants immediate intervention. Practices report on-call disturbances dropping from 10–12 per night to 4–5. The vet sleeps in 2–3 hour blocks instead of 30-minute fragments. They arrive for morning surgery having had actual rest. A rested vet is a safer vet, a happier vet and a vet who stays in the profession.
For OOH providers covering multiple hospitals, the AI routes callers to the nearest site based on their location. Owner in north Manchester → Hospital A. Owner in south Manchester → Hospital B. Clinical details are captured during the call and transmitted to the receiving site. The on-call vet at Hospital A sees only their incoming cases. Management sees the consolidated view across all sites. Reporting tracks call volume, triage accuracy, attendance rates and referral patterns per site and per referring practice.
From panicking owner at 2am to triaged, classified and either connected to the vet or reassured with monitoring advice.
2:17am. "My dog has eaten a load of chocolate — I don't know how much. She's being really hyper and she's been sick." AI: "I understand you are worried. I need to ask a few quick questions to get Bella the right help."
"What type of chocolate?" Owner: "A box of dark chocolate truffles." "How much approximately?" Owner: "Maybe half the box — about 200 grams?" "How long ago?" Owner: "About 45 minutes." AI classifies: toxic ingestion — dark chocolate, significant quantity. EMERGENCY.
"What breed is Bella and roughly how much does she weigh?" Owner: "Labrador, about 28 kilos." "Any other symptoms?" Owner: "Really hyper, panting, vomited once." AI calculates: ~200g dark chocolate in 28kg dog = high theobromine risk.
"I am connecting you to the emergency vet now. Please start driving to [Hospital address] immediately." On-call vet's phone rings with priority alert. Clinical summary on screen before pickup.
Vet sees: "EMERGENCY — Bella, 4yo FE Lab, 28kg. ~200g dark chocolate ingested 45 mins ago. Vomiting, hyperactive, tachycardic. Owner ETA 15 mins. Theobromine dose: HIGH RISK. Recommend emesis if within window."
Vet alerts nurse. Emesis drugs drawn up. IV catheter supplies prepared. Activated charcoal ready. ECG monitoring set up. When Bella arrives, treatment begins within 60 seconds of walking through the door. No time wasted on history. Everything captured en route.
4.9 out of 5 from OOH providers, emergency hospitals and on-call vets across the UK.
"OOH provider covering 12 practices. 40–60 calls per night, half not emergencies. AI triages every call. Genuine emergencies get through immediately. Non-urgent get reassurance and morning referral. Unnecessary call-outs dropped 55%."
"Clinical capture before arrival is what makes this different. By the time the owner walks in at 2am, I know species, breed, age, weight, symptoms and onset. I'm thinking differentials before I see the animal. That preparation saves lives."
"Single-vet OOH. Was woken 10–12 times per night. Half were a dog that vomited once. AI screens every call. Now woken 4–5 times and every one is genuine. My mental health has transformed. I can actually function the next day."
"Owner reassurance protocol is brilliant. Non-urgent callers get specific monitoring advice — not just 'call back in the morning.' Owners feel heard and cared for even when they don't come in. Complaints to referring practices dropped to zero."
"Multi-site OOH covering 3 hospitals. AI routes by geography. Captures clinical details en route. Receiving vet knows what's coming 10 minutes before arrival. Triage at the door is already done."
"Practice owner using OOH service. Morning handback report is excellent. AI compiles every overnight call. My morning vet has the full picture before the first client walks in. No lost information between OOH and daytime."
"Excellent triage and call reduction. Would love PMS integration for automatic clinical record creation. But for phone triage, owner communication and vet wellbeing the improvement has been dramatic."
"Solo on-call vet for a small practice. Used to dread nights. If it rings now I know it's serious. The anxiety of being on call has genuinely halved. That alone is worth any price."
"New OOH service, 4 months old. AI handled triage from night one. Referring practices impressed by clinical detail captured before arrival. 18 referring practices signed in 4 months because our triage was better than anything else."
"Emergency hospital, 3 vets overnight. AI pre-triages every call before it reaches nurses. Calls arrive already categorised — resuscitation, emergency, urgent, advice. Nurses spend time on clinical care not phone triage. Efficiency up 35%."
40–60 calls per night. AI triages every call — emergencies connected within 30 seconds, non-urgent given monitoring advice and morning referral. Unnecessary call-outs dropped 55%. On-call vet disturbances: 11 per night → 5. Vet retention improved — zero OOH vet resignations since implementation.
AI pre-triages before calls reach nursing staff. Calls arrive categorised into 4 triage levels. Nurses spend time preparing for arrivals, not triaging on the phone. Clinical efficiency up 35%. Average door-to-treatment time reduced by 4 minutes for genuine emergencies.
Single vet covering overnight for 3 practices. Was disturbed 10–12 times per night. AI screens every call. Now disturbed 4–5 times — every one genuine. Self-reported wellbeing score improved from 3/10 to 7/10. Considering staying in the profession instead of leaving.
AI routes callers to nearest hospital by geography. Clinical details captured en route. Receiving vet has full brief 10 minutes before arrival. Cross-site reporting for management. Referral practice satisfaction scores: 4.8/5. Three new referring practices signed in 2 months.
Morning handback reports delivered at 7am. Every overnight call documented with triage outcome. Morning vets prepared before first appointment. Owner callback queries resolved instantly because the daytime practice already has the overnight notes. Client experience: seamless.
Launched with AI triage from night one. Referring practices impressed by clinical detail quality. Built to 18 referring practices in 4 months — twice the expected growth rate. Reputation for triage quality and vet wellbeing drove word-of-mouth referrals from practice managers.
The veterinary profession is in a wellbeing crisis. RCVS surveys, BVA reports and Vetlife data consistently show that vets experience rates of anxiety, depression and suicidal ideation significantly higher than the general population. Out-of-hours work is one of the most commonly cited contributors to veterinary burnout and career abandonment.
Vet wellbeing is not a soft metric — it is the financial, clinical and ethical foundation of sustainable out-of-hours care. The AI protects it.
Most OOH services rely on either the on-call vet answering directly (vet woken for every call) or a non-clinical answering service (human operator reading a script, unable to make clinical judgements). Both fail.
The key advantage is consistency. A human answering service at 4am on their 35th call of the night will shortcut the triage. An AI asks every question, every time, with the same clinical rigour. The result: zero genuine emergencies missed, 40–55% of non-emergencies correctly identified and managed without vet disturbance.
Structured clinical protocol — breathing, consciousness, haemorrhage, toxic ingestion, seizure, dystocia. Classifies as resuscitation, emergency, urgent or non-urgent. Life-threatening cases connected to on-call vet within 30 seconds with full clinical summary. Zero genuine emergencies delayed.
40–60% of OOH calls are non-emergency. AI identifies these through structured questioning and provides monitoring advice. Owners told exactly what to watch for. If symptoms escalate, they call back and are re-triaged. Unnecessary call-outs typically drop 40–55%.
Yes. Species, breed, age, weight, presenting complaint, onset time, progression, home treatment attempted, medical history, medications, allergies. Full brief sent to receiving vet before owner arrives. Differentials considered before the animal walks in. Preparation time saves lives.
Yes. On-call disturbances drop from 10–12 per night to 4–5. Sleep in 2–3 hour blocks instead of 30-minute fragments. Vet anxiety about on-call work halves. Vets report being willing to continue OOH work instead of leaving. Preventing one resignation saves £15,000–£30,000.
Yes. Routes callers to nearest hospital by location. Clinical details captured en route. Each site sees their incoming cases. Centralised reporting for management. Referral practice satisfaction tracked per site.
Complete overnight report to each referring practice at 7am. Every call documented — who, what, triage outcome, attendance, clinical summary, follow-up. Morning vet has full picture before first appointment. Zero lost information between OOH and daytime.
Non-urgent callers receive specific escalation criteria. If symptoms worsen, they call back and are re-triaged from the beginning with updated information and earlier call history included. Escalated cases are immediately connected to the on-call vet.
From £9.99/month. Reducing unnecessary call-outs by 40–55% saves thousands in wasted vet time. Improved wellbeing reduces locum costs and turnover. Pre-arrival capture improves outcomes. One prevented unnecessary 2am call-out per week pays for it many times over.
AI triages every overnight call with structured clinical questioning. Genuine emergencies connected to the vet within 30 seconds with full clinical details. Non-urgent callers given species-specific monitoring advice and morning referral. On-call disturbances drop 55%. Your vets sleep. Your patients are safe. Your owners feel cared for.