Webinar insights with Lifeview: how AI agents are helping aged care providers move from policy overload to confident care

Aged care providers are already operating under intense pressure. Strengthened standards, rising documentation expectations, workforce turnover, and increasing clinical complexity are all converging on the frontline. 

For care teams, the challenge is not a lack of commitment. It is access. 

Access to the right policy. Access to the latest procedure. Access to guidance at the exact moment a resident needs support. And access to that information in a way that is practical, understandable, and aligned to the provider’s own way of working.

In a recent Druid AI webinar with Lifeview and ProcessX, the discussion moved beyond abstract conversations about AI solutions and focused on something far more urgent: how AI agents can support aged care staff in real time, improve confidence, and accelerate readiness for compliance requirements. 

As Ruby Pulvirenti from Druid AI explained at the beginning of the session, Druid AI enables employees and clients to “speak to their information through a virtual assistant experience and have a conversation with their data.”  

For aged care, that shift is significant. It means policies no longer need to sit passively in folders, intranets, or document repositories. They can become active, searchable, conversational sources of guidance for frontline teams. 

The frontline challenge: knowing what to do is not always the same as knowing where to find it 

Lisa Christopher, Clinical Capability Lead at Lifeview, brought the challenge to life through her own experience. 

Lifeview is an Australian-owned residential aged care provider with four homes across Melbourne, 284 residents, 460 staff, approximately 250 personal care assistants, and around 95 registered and enrolled nurses. The organisation manages more than 50 policies and procedures across a highly regulated care environment.  

Lisa described an early-career moment many clinicians would recognise: being a new enrolled nurse on shift, responsible for a resident who had fallen and hit their head, and not being able to quickly locate the relevant policy. 

“I wish I had the accessibility of easy to find policies and procedures so they could have answered my questions in real time.” 

Lisa Christopher, Clinical Capability Lead at Lifeview 

This quote captures one of the most important use cases for AI in aged care. The opportunity is not to replace clinical judgement. It is to make organisational knowledge available at the point of need. 

In Lisa’s words, AI can help by being able to answer those questions in real time and pulling information from our policy procedures, so it’s actually telling you what the organisation you’re in at the moment does for that issue.  

This distinction matters. In aged care, “best practice” is not enough on its own. Staff need to know the provider-specific process, the current policy, the required documentation, and the escalation pathway. 

AI as a confidence layer for care teams

Throughout the webinar, one theme came through repeatedly: confidence. 

Aged care teams often include a mix of long-tenured staff, new graduates, agency workers, internationally qualified nurses, casual staff, and employees moving from other care settings. Each brings valuable capability, but not everyone has the same familiarity with a provider’s internal policies and procedures. 

Lisa noted that experienced clinicians can still feel uncertain when they are new to aged care or unfamiliar with a specific organisation’s way of working. She explained that AI can give people not only “the capability to do their job, but also the confidence to do their job.”  

That confidence has a practical effect. Staff may be less hesitant to ask questions. They can validate their next step quickly. They can access information without searching across multiple documents. And they can act with greater consistency. 

Ruby summarised this as a set of “C’s”: capability, confidence, consistency, care, and compliance. That framing is useful because it captures the broader value of AI agents in aged care. The benefit is not only operational efficiency. It is a better support model for the people delivering care. 

From policy search to policy intelligence

Traditional document search has limitations. It depends on keywords, document names, and the user knowing what to look for. In aged care, the relevant answer may sit across multiple policies. 

Lisa gave the example of a falls-related question. The answer might not be contained in only the falls policy. It could also appear in mobility guidance or incident management procedures. A staff member may need to move back and forth across several documents to assemble the complete answer.  

An AI agent changes that experience. Instead of requiring staff to locate, open, skim, compare, and interpret multiple documents, the agent can return a practical answer and point back to the source documents. 

During the demo, Lifeview’s AI agent, Polly, powered by Druid AI and Process X, was shown operating through Microsoft Teams. The agent could answer everyday questions, tolerate spelling mistakes, understand context, and reference multiple source documents when needed. Lisa described this as like having a personalised compass because it does not just provide information; it points staff to where the information came from.  

That traceability is critical in regulated environments. AI outputs need to be explainable, auditable, and grounded in approved organisational content.

Curious to see what an AI agent looks like in practice?

The concepts discussed in this article so far are already being applied across healthcare organisations to help staff access information faster, support patient journeys, and reduce friction in everyday processes.

You can now explore Druid AI's Healthcare Patient Access & Care Journey Agentic AI Solution to see how AI agents can provide real-time assistance

Compliance is no longer only a back-office challenge

One of the most important insights from the webinar was that compliance pressure is increasingly felt at the frontline.

ProcessX noted that aged care providers have seen administration and compliance burden increase over the last 12 to 18 months. Brendan from ProcessX described frontline staff reporting that they entered aged care to care for residents, but now find that a significant portion of their time is spent documenting, searching policies, and completing administrative tasks.  

Alm aroundost 50% of their time may be spent returning to the nurses’ desk, typing information, documenting care, or trying to find the right policy after an incident.  

Mertuza from ProcessX also referenced an industry attrition challenge, noting that frontline aged care staff turnover is around 35-37%, with many new entrants becoming overwhelmed in the first six months due to workload, compliance, documentation, and training demands.  

These figures are important because they connect AI adoption to workforce sustainability. If AI can reduce friction, support onboarding, improve confidence, and help staff complete required actions correctly the first time, it can become part of a broader retention and quality strategy. 

Webinar insights in brief

Co-design is what makes AI usable

Another major insight from the session was the importance of co-design. 

Lifeview did not simply adopt a generic AI tool. Polly was shaped around the organisation’s needs, tone, preferred user experience, policy links, deployment channel, and governance expectations. 

Lisa emphasised that the agent “feels like it’s from us” because the responses, tone, and design were customised to Lifeview.  

That point should not be underestimated. In aged care, adoption depends on trust. Staff need to feel that the system understands their context, uses familiar language, and provides guidance that reflects the organisation they work for. 

The webinar also highlighted an important change management principle: start with strong foundations. 

ProcessX explained that Lifeview’s roadmap begins with policy and procedure access, then moves into governance dashboards, clinical note review, and eventually AI-supported clinical assistance. Rather than trying to introduce everything at once, the approach is staged, allowing staff to build confidence and acceptance over time. 

AI should support judgement, not replace it 

The speakers were clear that AI in aged care must be implemented responsibly. 

During the demo, Polly included a disclaimer clarifying what it can and cannot be used for. The message was explicit: the AI agent supports staff but does not replace clinical judgement.  

That is the right framing for healthcare and aged care environments. AI should reduce the burden of finding information, improve consistency, and help staff act in line with policy.

From individual support to organisational intelligence

The most forward-looking part of the webinar was the discussion about what comes next. 

Polly begins as a policy knowledge agent. But once staff begin asking questions, the organisation can learn from those interactions. Which policies are unclear? Which topics are repeatedly searched? Where do staff need more education? Which procedures create confusion? Where might policies have gaps? 

Lisa explained that if people are consistently asking about falls, that may indicate a need for additional education. She also noted that if Polly cannot answer a question, it may reveal a gap in the policy itself.  

This creates a continuous improvement loop: 

• Staff ask questions.
• The AI agent provides policy-grounded answers. 
• The organisation reviews usage patterns and feedback.
• Education, policies, and workflows improve.
• The AI agent becomes sharper over time. 

That is a powerful model for aged care governance. 

As Ruby observed, this creates a form of institutional memory that does not leave the organisation when staff move on.

Why this matters for aged care providers

One of the most valuable messages from the webinar was that AI is not only for large aged care providers. 

Lifeview is a four-home provider. Lisa acknowledged that smaller providers may not have the resources to hire dedicated AI specialists or run large internal transformation programs. But with the right partners and a staged approach, AI agents are still accessible. 

Her advice was practical: start with the foundations, identify what will be most beneficial first, involve the teams who will use the technology, and build from there.  

That message is especially relevant across aged care, where many providers operate at small or medium scale. AI adoption does not have to begin with a massive transformation program. It can begin with a focused, high-value use case: helping staff find and apply policy correctly, in real time. 

The bigger picture: speed to compliance, speed to confidence

The phrase “speed to compliance” is often understood as a regulatory goal. But the webinar showed that it is also a human goal. 

• When staff can quickly access the right guidance, they are more confident. 
•  When documentation is supported, managers spend less time fixing gaps.  
• When policies are easier to understand, care becomes more consistent.
• When trends are visible, education becomes more targeted.
• When AI is implemented responsibly, it strengthens rather than replaces human judgement. 

Lisa captured the emotional impact best when she described what Polly would have meant to her younger self: 

“It’s like having a buddy your entire shift.” 

For aged care providers navigating stronger standards, workforce pressure, and growing documentation demands, that may be the most important insight of all. 

AI agents are not just about automation. Used well, they are about support: giving every staff member a knowledgeable, policy-grounded, always-available companion that helps them deliver safer, more consistent, and more confident care. 

Want to know more?

AI adoption in aged care does not need to start with a large-scale transformation project. As Lifeview's experience demonstrates, a focused use case such as policy and procedure access can deliver immediate value for frontline teams while creating the foundation for broader governance and compliance initiatives. Contact Druid AI to explore how AI agents can support your aged care strategy.