An AI on-call assistant is an AI agent that runs on your office WhatsApp number and does the routine work of your on-call allocation team: confirming shifts, handling "I'm running late" and "I can't make it" messages, finding trained cover and keeping everyone informed — day and night. Your on-call coordinator stays in control and approves who covers every shift.
This is a solution concept from SystemLoom for AI-powered on-call and workforce coordination: how we would design it for a healthcare staffing company, a care agency or a nursing agency.
The problem: on-call is a 24-hour job
Most healthcare staffing companies cover each client with two 12-hour shifts a day — typically a day shift from 8am to 8pm and a night shift from 8pm to 8am. The riskiest moment is the handover: the day carer can't leave until the night carer arrives.
When something goes wrong, it lands on the on-call allocation team:
- A night carer messages at 6pm to say they can't come.
- The day carer is waiting to leave and doesn't know how long they'll be kept.
- The coordinator has to work out who is trained for that client, then call people one by one.
- Meanwhile, other staff are messaging with questions, and some wait a long time for a reply.
It's stressful, it happens at all hours, and every minute spent on the phone is a minute the shift is at risk.
Meet the AI on-call assistant
The assistant works where your staff already are: WhatsApp. There's no app to download.
| Channel | Used for |
|---|---|
| Office WhatsApp number | Shift offers, confirmations, "running late", "can't make it", emergencies and questions such as "When's my next shift?" |
| Automated phone calls | Urgent cases — no reply to a confirmation, a last-minute gap, or staff who prefer a call. Staff press 1 to accept or 2 to decline. |
| Escalation to the on-call coordinator | Anything that needs a human decision, or when no cover is found in time |
| Simple dashboard (optional) | Every conversation and open shift in one place. The coordinator can take over any chat. |
It runs on the official WhatsApp Business Platform, with staff opting in to messages from the office number.
How it works
Staff are told about new shifts
When the coordinator adds a shift to the rota, the assistant messages the staff member straight away with the client, date and times, and asks them to confirm.
Shifts are confirmed twice: the day before and one hour before
| When | What the assistant does |
|---|---|
| The day before | "You're at Oakwood tomorrow, 8pm–8am. Reply YES to confirm." |
| One hour before | "Your shift at Oakwood starts at 8pm. Are you on your way?" |
| No reply | It calls the staff member. Still no answer? It alerts the on-call coordinator early — hours before a no-show, not after. |
Staff check in and check out
The confirmations continue into the shift itself:
| When | What happens |
|---|---|
| On arrival | The carer checks in with a quick WhatsApp reply: "Arrived at Oakwood." |
| No check-in | If no check-in arrives shortly after the start time, the assistant follows up, then alerts the coordinator. |
| End of shift | The carer checks out and confirms their finish time. |
| Something doesn't match | A missing check-out, or times that don't match the rota, are flagged for the coordinator to review. |
A staff member is running late
- The night carer messages: "Running 30 minutes late."
- The assistant confirms it instantly.
- It tells the day carer on shift how long they'll need to stay.
- It updates the client site, so they aren't left wondering.
A staff member can't make their shift
- The night carer messages at 6pm: "I can't come tonight, family emergency."
- The assistant tells the day carer they may need to stay a little longer while cover is found.
- It finds staff who are trained for that client and free, and either messages them all, or lets the coordinator pick who to contact and whether to message or call.
- The first person to accept appears for the on-call coordinator, who approves with one tap.
- Only once it's approved is everyone updated: the new carer, the day carer and the client. The rota is updated and every step is logged.
If no trained staff are free, the assistant asks the on-call coordinator whether to contact staff who are free but not yet trained for that client. The coordinator decides.
An emergency during a shift
- A carer messages: "My child is unwell, I need to leave now."
- The assistant replies in seconds, alerts the coordinator and starts finding trained cover straight away.
- The carer is told when their cover will arrive.
Every shift has a live status
The coordinator can see exactly where every shift stands, at a glance:
| Status | What it means |
|---|---|
| Cover required | A staff member can't make it, or has had to leave |
| Finding replacement | The assistant is contacting trained staff |
| Offer sent | A shift offer is waiting for replies |
| Awaiting approval | Someone has accepted; the coordinator needs to approve |
| Confirmed | The coordinator has approved the replacement |
| On the way | The carer has confirmed they're travelling |
| Arrived | The carer has checked in at the client |
| Completed | The carer has checked out |
"Accepted" is not the same as "confirmed". The client is only told that cover is confirmed after the coordinator has approved it, so no one is promised a carer who might not come.
The morning summary
At the start of the day, the on-call coordinator gets one clear message about what happened overnight. For example:
Good morning. Overnight: 42 shifts monitored, 2 cover requests (both filled and approved), 1 late arrival at Oakwood (30 minutes, day carer informed). Needs your attention: 1 staff member hasn't confirmed tomorrow's shift, and 1 check-out time doesn't match the rota.
Who it helps
Here's a typical night, as an example:
2:47am. Sara, a carer at Oakwood, messages: "My son is unwell, I need to leave." The on-call coordinator is on another call. The assistant replies to Sara in seconds, alerts the coordinator and messages three carers trained at Oakwood. Two minutes later James accepts. The coordinator approves with one tap, and Sara is told James will arrive at 3:30.
The on-call allocation team
| Today | With the AI on-call assistant |
|---|---|
| Phones ringing all night, and you can't answer everyone at once | Every message is answered instantly; only what needs a human reaches you |
| Calling staff one by one to fill a gap | Trained staff are contacted together; you just approve who covers |
| Chasing confirmations by hand | Automatic confirmations the day before and one hour before |
| Finding out about no-shows too late | Early warnings from missed confirmations |
| Remembering who's trained at which client | The assistant already knows and only suggests the right people |
| Updating the client and the staff on shift | Done automatically |
| Starting the morning not knowing what happened overnight | One clear morning summary |
Care staff
Allocation teams are often busy on other calls and can't reply to staff working with clients. The assistant solves that.
| Today | With the AI on-call assistant |
|---|---|
| Message the office and wait for a reply | An instant reply, any time — even at 3am |
| Unsure whether the office got "I'm running late" | An immediate confirmation, and the client is told too |
| An emergency mid-shift, waiting for someone to answer | Help starts straight away, and cover is found fast |
| Kept past the end of a shift, not knowing for how long | Told quickly how long to stay and who's coming |
| Calling to ask "When's my next shift?" | Ask on WhatsApp and get the answer instantly |
| Shift offers arrive late or not at all | Fair, fast offers for shifts they're trained for |
The company and its clients
- Fewer unfilled shifts and late arrivals, so care stays consistent.
- Clients kept informed automatically, with fewer complaint calls.
- Safer staffing, because only trained staff are offered a client's shifts.
- Better staff retention, because carers feel supported.
- Grow without growing the allocation team at the same rate.
- A clear record of every message and decision, useful for audits and CQC inspections.
Core features
- Shift notifications the moment a staff member is added to the rota.
- Two confirmations: the day before and one hour before every shift.
- Check-in and check-out by WhatsApp, with missed check-ins flagged.
- Live shift statuses, from "cover required" to "completed".
- Late and absence handling, including updating the staff member on shift.
- Trained-staff matching based on who is trained for, or has worked with, each client.
- Smart offer order, contacting first the staff most likely to accept.
- Expiring training alerts, so no one is booked whose DBS or mandatory training has lapsed.
- Client updates when staff are late, or once a replacement has been approved.
- A morning summary for the on-call coordinator.
Extra features that could be added
- Open-shift broadcasts for future gaps — first suitable person to accept gets it, once approved.
- Shift swaps between staff, approved by the coordinator.
- Availability by chat: "I can work any day next week except Wednesday."
- Timesheets for payroll, built from check-in and check-out times.
- Multiple languages, replying in each staff member's preferred language, with key details such as times and addresses repeated clearly. Emergency, safeguarding and clinical messages shouldn't rely on automatic translation alone.
- No-show risk flags based on past patterns.
- A weekly report on cancellations, late arrivals and hard-to-fill clients.
Safe by design
- A human always decides. The assistant finds and contacts staff, but the on-call coordinator approves who covers a shift. It never leaves a shift uncovered on its own.
- No patient data. It only uses staff names, contact details, shifts and training records — never patients' medical information.
- UK GDPR. Staff opt in, data is used only for scheduling, and every action is logged. See the ICO's guidance for employers.
- Working-time rules can be built in, so staff aren't offered shifts that break rest-break rules.
- Escalation. If no cover is found within a set time, the assistant calls the on-call coordinator directly.
Expected benefits
- Cover found in minutes rather than hours of phone calls.
- Fewer missed shifts, thanks to confirmations and early warnings.
- Instant answers for staff, at any hour.
- Calmer nights for the on-call team.
- Happier clients, who are always kept informed.
Start small, then grow
You don't need everything on day one. We'd suggest two phases:
- First: handling absences and late arrivals, trained-staff matching, live shift statuses, and check-in and check-out. This is where most of the on-call pressure is.
- Then: open-shift broadcasts, shift swaps, availability by chat, multiple languages and reporting, once the team is comfortable with the basics.
Tailored to your procedures
Every healthcare company works differently. The assistant is set up around your rules: how you allocate staff, who needs to approve what, how long before you escalate, how you train staff for each client, and your policies on overtime and rest. It connects to your existing rota and HR systems.
How SystemLoom can help
We design and build AI agents and intelligent automation that do real work inside your business, with humans in control. New to AI agents? Start with our guide on what an AI agent is, or see how we automated staff training for a client in our staff training automation case study. Here's how we work, from the first call to launch.
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