AI workers for frontline healthcare

Handle more patient-contact work without adding pressure to your frontline team.

Auxilis workers carry out defined patient conversations, gather the information your service needs and complete approved actions — so routine work keeps moving while your team stays in control.

Defined workflows Tested conversations Auditable results

From patient conversation to completed action.

Patient I need an appointment with a doctor.

Patient interaction · in progress
I need an appointment with a doctor.
Of course. So the team can help, can I ask what it’s for?
I’ve had a cough for about two weeks — worse at night, and I’m a bit short of breath.
Thank you. I’ll pass these details to the team so the right person can review them.

A clear picture, ready for the team.

Structured triage note · for the responsible team
  • Reason for contact Requesting to see a doctor
  • What the patient described “A cough for about two weeks, worse at night; some shortness of breath”
  • Screening questions Completed
  • Next step Routed to the team for triage · no appointment booked

The worker presents the picture. A healthcare professional decides what happens next.

Illustrative
The Auxilis platform

One governed foundation for every worker.

Configure a worker around the pathway, connect it to the service and run it with clear boundaries, human handover and auditable results.

Jackie Incoming patient requests Sam Review preparation Joe Treatment follow-up Robin Patient outreach Custom worker Configured for your pathway
The Auxilis platform
Built around your pathway Define what the worker asks, what it gathers, what it may do, and where it must stop.
Connected to your service Book, record, route or update in the systems your team already uses, across phone and text.
Governed in operation Tested before release, with human handover, monitoring and auditable results.

A completed action or structured record returned to the responsible team.

An approved pathway defines what the worker asks, what information it gathers, what actions it may complete, when it must stop, and when a person takes over.

Explore the platform
Live results from Jackie

Measured results from two primary-care deployments.

Across two one-month reporting periods, Jackie handled more than 4,000 inbound calls, resolved nearly 2,000 end-to-end and returned more than 100 hours of reception call-handling capacity.

Busy rural GP practice

More than 2,000 calls handled in 30 days.

Jackie completed over 1,100 calls without reception involvement and returned more than 50 hours of call-handling capacity to the team.

Large multi-site GP practice

More than 50 hours returned in one month.

Jackie handled nearly 2,000 inbound calls while providing additional capacity during concentrated periods of demand.

Practice details have been withheld because these deployment studies are shared confidentially.

Already working with Jackie.

“Your product is so good. The practice manager called and she was so impressed. This is a game changer.”
Claire Besset Operations Director · LineIn
“The impact can really be felt by the in-house team. A big thumbs up all around for Jackie!”
Dawn Moore Practice Manager · Greensand Surgery
Governed from the first conversation

Safe by design.

Defined work and boundaries

Every worker is configured around agreed tasks, actions and limits.

Tested before release

Realistic scenarios are evaluated before changes enter a live service.

Reviewable conversations and actions

Every conversation, action and output can be reviewed and audited.

The worker presents the picture. A healthcare professional decides what happens next.

Connected to the systems each workflow needs
  • EMIS Web
  • SystmOne
  • Accurx
  • Patchs
Explore integrations and governance

Common questions

What kind of work can an Auxilis worker take on?

Defined patient-contact work: answering an inbound request, preparing a review before a clinician sees the patient, running a scheduled check-in between appointments, or confirming whether a patient on a list still needs to be seen.

A worker holds the conversation, gathers what the service needs and completes the actions its approved pathway allows. What comes back is a completed action or a structured record in the system your team already uses.

The four workers and what each one handles

Is this just another chatbot or automated phone system?

No. An Auxilis worker does more than answer a question, collect a form or route a call.

It holds the patient conversation, follows the pathway your service has approved, gathers the information required and can complete permitted actions in the systems your team already uses. The result is work completed — or a structured handover when a person needs to take over.

The worker cannot simply decide to do something outside that pathway.

How the Auxilis platform works

Does this replace our reception or admin team?

No. A worker adds capacity alongside the existing team, not in place of it, and takes on routine patient-contact work that would otherwise consume their time.

The people stay in control. What changes is how much of their day has to be spent carrying out predictable, repeatable conversations and administration.

Anything outside the approved pathway goes to the appropriate person with the information already gathered.

How this works alongside an existing reception team

Can an Auxilis worker make clinical decisions?

No. A worker can gather information, ask the questions defined by an approved pathway and prepare a structured picture for the responsible team. It can also complete administrative actions where the pathway allows.

It does not diagnose, prescribe or make clinical decisions. When clinical judgement is required, the worker hands the patient or the information to the appropriate healthcare professional.

The worker presents the picture. A healthcare professional decides what happens next.

Where the human boundary sits, in detail

What happens when a worker cannot handle something?

It hands over.

Every worker has defined boundaries and escalation conditions. If a request falls outside its approved pathway, needs human judgement or reaches a point where the worker must stop, it routes the interaction to the appropriate team with the information already gathered.

The aim is not to make the AI handle everything. It is to let it complete the work it has been approved to do and bring in a person when they are actually needed.

How workers are governed and handed over

Do patients know they are speaking to AI?

Yes. Patients are told at the start of the conversation that they are speaking with an AI assistant.

They are not expected to mistake a worker for a person, and where a patient wants or needs human help, the worker follows the service’s configured route for handing the interaction to the team.

What patients are told about Auxilis workers

Is this being used in the NHS today?

Yes. Jackie answers inbound patient calls in NHS general practice today and proves the model the other Auxilis workers are built on.

We publish measured results from live deployments, including what Jackie handled, how much work was completed without reception involvement and how much call-handling capacity was returned to the practice team.

See the measured results from live deployments

Will it work with the systems we already use?

Auxilis workers are designed to work inside the telephony, messaging, clinical and operational systems your team already uses, rather than creating another interface for them to manage.

The exact integrations depend on the worker and pathway. Auxilis assesses the systems involved as part of deployment and connects the actions and records the worker needs to complete its approved job.

See how Auxilis connects to existing systems

Can we hear what a call actually sounds like?

Yes. A recorded patient call with Jackie is published in full — including the moment she reaches a request she cannot complete and hands the patient to a person.

You can hear how the conversation works before speaking to anyone at Auxilis.

Hear a real patient call

What does getting started involve?

Start with one defined pathway, not everything at once.

Auxilis works with your service to define the conversation, what the worker needs to gather, what it may complete and where it must hand over. We then configure, connect and test it against that pathway before it handles live patient contact.

You can expand from there when the evidence, your systems and your governance requirements support it.

How a worker is configured and governed
Start with one workflow

What patient communication should your team no longer have to carry?

See how an Auxilis worker could turn a defined pathway into completed work.