How AI is Personalising Care Plans in Supported Living

Adult social care is under growing pressure. Rising demand, workforce shortages, and increasingly complex care needs are pushing providers to find new ways to deliver high-quality support while maintaining person-centred care.

At the same time, supported living services are built around helping people live independently with dignity, choice, and respect for their rights. When used appropriately, AI can support this goal by helping care teams better understand individuals and respond more effectively when circumstances change.

Government policy is also moving in this direction. The UK's AI Opportunities Action Plan, launched in January 2025, and the creation of the Office of AI and Digital in June 2025 reflect a wider push to expand the role of AI across health and social care.

One of the most promising uses of AI in supported living is its ability to analyse information from multiple sources, including medical histories, lifestyle factors, care records, and real-time health data.

This can help care providers build more detailed and tailored care plans that evolve alongside a person's changing needs. AI-powered systems can identify patterns within large amounts of information and present insights that support more informed decision-making.

Machine learning is also being used to automate routine administrative processes, helping care teams record information such as health metrics, support needs, and personal preferences more efficiently. With centralised digital records, staff can quickly access up-to-date information, helping maintain consistency across different shifts and support workers.

This continuity is particularly valuable in supported living, where understanding a person's preferences, anxieties, communication style, and health history can significantly improve the quality of support they receive.

The use of AI tools comes with the responsibility that personal data must be handled lawfully, transparently, and securely.

Care providers must comply with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018, which set out clear requirements for how and sensitive data, including health information, is collected, processed, and stored.

AI systems used in care planning often rely on large volumes of personal data, including medical histories, behavioural patterns, and daily living information. Providers must ensure that:

• Personal data is processed on a lawful basis, such as delivering care or meeting legal obligations
• Individuals (or their representatives) are informed about how their data is used through clear privacy notices
• Only the minimum necessary data is collected and used (data minimisation)
• Systems are designed with data protection by design and by default, ensuring privacy is built into digital workflows
• Appropriate security measures are in place to prevent unauthorised access or breaches

Care providers should also be aware of restrictions around automated decision-making under UK GDPR as they can significantly affect an individual’s wellbeing must not be made solely by automated systems without meaningful human involvement.

Maintaining trust is important in supported living, and transparent data practices help individuals, families, and professionals feel confident that information is being used responsibly.

In supported living settings, care planning often involves individuals who may have impaired or fluctuating capacity to make certain decisions. The Mental Capacity Act (MCA) 2005 provides a legal framework to ensure that decisions are made in a way that respects people’s rights, autonomy, and best interests.

AI can support care teams by organising information and highlighting risks, but it must always be used in line with MCA principles:

• Presumption of capacity: Every adult has the right to make their own decisions unless proven otherwise
• Support to make decisions: Individuals must be given all practicable help before it is assumed they cannot decide
• Right to make unwise decisions: Personal choices should be respected, even if they appear unwise
• Best interests: Any decision made on behalf of someone lacking capacity must prioritise their best interests
• Least restrictive option: Decisions should limit a person’s rights and freedom as little as possible

AI-generated insights should never override professional judgement. Instead, they should support care professionals by providing clearer information, helping teams identify patterns, and ensuring that decisions are well-informed and consistently recorded.
By aligning AI use with the Mental Capacity Act, supported living providers can ensure that innovation strengthens, rather than compromises, the rights and dignity of the people they support.

AI is increasingly being used to identify signs that someone's wellbeing may be deteriorating before problems develop into emergencies.

For example, an AI tool being rolled out across the NHS reportedly achieved accuracy rates of up to 97% in controlled trials for predicting falls risk. The technology is now being used during millions of home care visits each month to help identify early signs of deterioration.

Other innovations include AI-enabled sensors connected to everyday household items such as fridges and kettles. These systems monitor patterns in daily routines and can detect potential concerns, such as missed meals or unusual activity levels. Alerts can then be sent to family members or care teams so they can check on the individual and provide support when needed.

This proactive approach can help providers intervene earlier, reduce pressure on services, and support people to remain independent for longer.

Supporting people with learning disabilities

For people with learning disabilities living in supported settings, personalised care planning is especially important, and the stakes of getting it wrong are high.

Two-thirds of people with a learning disability have a life expectancy a few years lower than the UK average, because people with learning difficulties are likely to have two or more long-term physical health conditions which may be misattributed to either a mental health problem or as being an inherent part of their disability.

 AI-powered tools are beginning to address this gap. Researchers working in this space have been clear that prediction alone is not enough and that insights must drive real-world changes, reducing avoidable hospital admissions and ensuring people with learning disabilities receive timely, effective support.

AI could enhance care through planning assistance, communication support, and tools for sensory impairments, including using databases to identify vulnerable patients and using sensors to detect behavioural patterns and indicate when help is needed.

A recurring theme across supported living and social care more broadly is the weight of administrative work that falls on care workers.

Digital care records, automation tools, and AI-powered documentation systems are helping providers reduce duplication and streamline routine processes such as compliance reporting and record keeping. Swindon Borough Council, for example, reported a reduction of more than 60% in time spent on some administrative tasks after introducing AI technology.

Reducing paperwork gives care workers more time to focus on direct support, relationship-building, and understanding what matters most to the people they support. Those conversations and relationships remain central to creating meaningful care plans.

The Care Quality Commission (CQC) has emphasised that AI should support human decision-making rather than replace it. As adoption grows, many organisations are calling for stronger AI literacy, clear governance frameworks, transparent communication, and input from people with lived experience to help shape how these technologies are used.

AI in supported living is still developing, but its potential is becoming increasingly clear. From creating more personalised care plans to identifying risks earlier and reducing administrative workloads, AI can provide valuable support to both care teams and the people they serve.

As regulation and best practice continue to evolve, the sector's focus remains firmly on maintaining the human element of care. Technology works best when it strengthens relationships rather than replacing them, giving staff better information, greater confidence, and more time to provide personalised support.

One of the key principles emerging from the sector is the principle of Humanity: AI in social care must never lose sight of the human element.

That principle feels especially important in supported living, where the relationship between a person and their support worker is often one of the most meaningful in their life. AI, at its best, should strengthen that relationship, giving care teams better information, more time, and greater confidence to deliver support that truly fits the person in front of them.

This is where digital care planning solutions can make a real difference. Access Care Planning helps providers create, update, and manage care plans in a single central location, making important information easier to access and share across teams. Combined with Access Evo, providers can also use AI-powered tools to assist with documentation, summarise information, and support more efficient record keeping.

Together,these tools can help supported living services build a stronger foundation for person-centred care, supporting teams with the insights, efficiency, and confidence they need to deliver outstanding support.

The goal has always been the same: to help people live well, on their own terms, in a place they call home. As AI and digital care technologies continue to develop, supported living providers have an opportunity to combine innovation with compassionate care, creating support that is both more responsive and more sustainable for the future.