Primary care is under increasing pressure.
Demand continues to rise. Patients expect faster access. Reception teams are stretched. GP practices are balancing workforce challenges, continuity pressures, and growing operational complexity.
Against that backdrop, AI has rapidly entered the conversation around patient access.
But the debate is often framed in the wrong way:
Human or AI?
At LineIn and Auxilis AI, we believe the future is not about replacement.
It is about partnership.
Two Different Approaches Working Towards the Same Goal
In a recent conversation between Flemming Jensen, CEO of LineIn, and Nikos from Auxilis AI, one theme became clear very quickly:
both organisations are ultimately trying to solve the same problem.
As Nikos explained:
“We’re both trying to make things better for GP practices and their patients.”
LineIn provides practice-dedicated human call handling and care navigation services for primary care.
Auxilis AI provides “Zaki”, an AI receptionist platform designed to support GP practices with patient access and call handling.
At first glance, these models may appear to compete.
In reality, they complement each other.
AI Is Not Suitable for Every Patient Interaction
One of the most important parts of the discussion was acknowledging a simple truth:
AI is not appropriate for every patient or every situation.
As Nikos noted:
“10% of patients actually do not like to speak to AI bots.”
That matters.
Healthcare is not the same as retail or online banking. Patients contacting a GP practice are often anxious, vulnerable, distressed, or uncertain about their symptoms.
For some patients, automated systems are perfectly acceptable for straightforward requests such as:
- appointment cancellations
- repeat prescription requests
- simple administrative queries
For others, speaking to a human is essential.
The future of patient access therefore cannot be built around a single model.
It needs flexibility.
Using Human Resource Where It Adds the Most Value
The real opportunity with AI is not replacing human teams.
It is enabling human teams to focus on higher-value interactions.
By allowing AI to manage simple, repetitive, transactional requests, practices can redirect staff capacity towards:
- care navigation
- triage support
- safeguarding awareness
- vulnerable patient support
- more complex patient interactions
As Flemming explained during the discussion:
“If we can provide that from the front end, not only do we provide better access, but we also allow the GPs and teams to work behind the scenes more proactively.”
This is where the blended model becomes powerful.
AI handles volume and repetition.
Human teams focus on empathy, judgement, escalation, and complexity.
Better Information Means Better Care
A major focus of the partnership between LineIn and Auxilis AI is improving the quality of information captured at first contact.
In primary care, poor information creates downstream pressure across the entire practice:
- incomplete triage forms
- avoidable callbacks
- unnecessary appointments
- clinician interruptions
- patient frustration
That is why both organisations place significant emphasis on:
- structured information gathering
- safe escalation pathways
- consistency
- governance and safeguards
As Nikos explained:
“It’s all about information. It’s all about safety.”
In healthcare, systems cannot rely on guesswork.
The goal is not simply efficiency. The goal is safe, reliable access.
Why Operational Experience Matters
One of the most valuable aspects of the collaboration is how operational knowledge from LineIn’s teams helps shape the AI platform itself.
LineIn’s practice-dedicated call handlers work daily within GP workflows, handling real patient interactions and navigating real operational challenges.
That experience feeds directly into how the AI evolves.
As Nikos described:
“The feedback that we’re getting from your phone handlers and your operations team is phenomenal.”
This operational insight helps ensure the AI develops in a way that reflects the realities of primary care rather than theoretical workflows.
It also highlights an important point often missed in conversations about healthcare AI:
technology works best when designed alongside frontline operational expertise.
Supporting Practices as Demand Continues to Rise
Both organisations recognise the same challenge facing primary care:
demand is increasing faster than practice capacity.
Practices need access models that are:
- scalable
- safe
- reliable
- sustainable
A blended human + AI model allows practices to:
- improve responsiveness
- reduce pressure on internal teams
- maintain patient choice
- create more consistency at first contact
- free clinical time for proactive care
Importantly, this is not about removing the human layer.
It is about strengthening it by using technology appropriately.
The Future Is Blended
The conversation between LineIn and Auxilis AI reflects where primary care access is heading.
Not fully automated.
Not fully manual.
Blended.
Practices that successfully combine:
- AI for simple, repetitive workflows
- human teams for nuanced and clinically sensitive interactions
- structured care navigation
- consistent call capture
- strong governance and escalation
will be in the strongest position to improve both patient experience and operational resilience.
As Flemming concluded:
“We work well in the triangle — GP, you, us.”
That collaboration between practices, operational expertise, and technology is what will shape the future of patient access.
Final Thoughts
The conversation around AI in healthcare should not be driven by fear or hype.
It should be driven by one question:
Does this improve care safely and sustainably for patients and practices?
At LineIn, we believe technology has a major role to play in the future of primary care access.
But the best outcomes will come from combining AI with trained human teams, structured workflows, and clinically safe processes.
Because ultimately, patient access is not just about answering more calls.
It is about helping patients reach the right care, in the right way, at the right time.