How Can Cera’s Healthcare AI Aid Nurses, Hospitals & Carers?

Cera, the home healthcare innovator, is developing a suite of AI care agents.
The agents are designed to automate time-consuming tasks, make decisions based on information they gather and act on them by using reasoning, planning and memory.
Cera is set to introduce almost 1,000 agents across its 10,000-strong workforce, speeding up recruitment of carers, organising replacement cover and continuously reviewing and improving patient care quality and compliance.
Incorporating healthcare agents
Cera’s AI agents are designed to ensure more patients receive the right care faster, while freeing frontline staff from time-consuming calls and paperwork so they can focus on medical and quality needs.
This efficiency delivers significant time and cost savings at a point when the care sector is facing severe short and long-term workforce pressures.
Europe’s largest HealthTech company is now licensing several of these agents to other health and care organisations to help expand the talent pool and address widespread staffing shortages.
“Our AI Agents remove paperwork so carers can get back to caring,” says Dr Ben Maruthappu MBE, Founder and CEO of Cera.
“They also accelerate recruitment, ensuring more patients get better care, faster.
“By automating repetitive tasks, we’re enabling carers, nurses and coordinators to focus on what truly matters: care quality, health outcomes and human connection.
“The impact is profound – faster access to care, less pressure on frontline teams and a larger, more resilient workforce.
“We’ve built these agents to transform productivity and care quality inside Cera and we’re excited to make them available to the wider sector.
“With two million adults in England living with an unmet need for care, we must embrace technology to meet the growing needs of our rapidly ageing population.
“At Cera we are building AI that protects the human touch, rather than replacing it.
“It’s about giving our staff the time, headspace and support they need to deliver exceptional care.
“This will transform lives.”
AI Agents for healthcare hiring
Earlier this year, Cera deployed its AI recruitment agent Ami to transform frontline hiring.
With around 500,000 carers and nurse applications each year, Ami conducts initial candidate interviews, doubling recruitment volumes and accelerating hiring while reducing the burden on human recruiters.
Building on this success, Cera is licensing Ami externally and launching three additional agents across its workforce.
These include an AI Care Coordinator Agent that halves the time spent organising last-minute cover and a Field Care Supervisor Agent that synchronises clinical data into actionable summaries, cutting care review time by 85% and supporting continuous quality assurance through supervisions, spot checks and reviews.
“We’ve now got time to ring clients, find out how care is going, fix issues and chase doctors and district nurses instead of spending hours of each day on admin tasks like organising cover,” says Lucy Kruyer, Registered Manager at Cera Colchester.
“Our AI care coordinator agent organises staff cover so we can focus on client medical and quality needs.
“It gives human coordinators hours, sometimes whole days, back.
“We want to be able to say yes to every person that needs care.
“Our goal is to get people home from hospital and cared for where they want to be and the agent is helping us towards that aim.”
Can AI help with training?
Cera has also developed an AI Retention Agent that identifies staff at risk of leaving and intervenes up to seven times faster than human teams, contributing to retention improvements of up to 22%.
These agents sit alongside other AI tools such as carer chatbots, training avatars and predictive analytics that reduce falls by 20% and prevent more than half of avoidable hospitalisations.
With 110,000 vacancies in adult care, two million adults in England living with unmet care needs and one million new care workers required over the next 14 years, Cera’s integrated use of AI is helping to build a more scalable and sustainable care model for an ageing population.




