We hosted our AI and Data Conference at Bletchley Park this January. The historic backdrop inspired us to look to the future potential of AI and data in social care. Over the course of the day we heard for customer panels, product managers and Nourish users on and off stage. It was an inspiring event that energised all attendees for the year ahead!

The day started once everyone had settled in to the historic venue. Our Chief Product Officer Matthew Stewart opened the proceedings with an overview of our position on AI, our ambitions for care intelligence, and the odd season joke here and there. This was followed by our Director of AI & Data Sudha Regmi detailing the Nourish view into Analytics, Insights and Nourish AI.

We had two panels with customers, one on either side of lunch. The first panel, led by our Chief Customer Officer Paul Barnes was focussed on Nourish Analytics. Paul was joined by Emma Lindblom, Head of Quality Improvement at MHA, Gareth Williams, Flexible Workforce Manager at Brandon Trust and Benjamin Winfield the Product Owner Lead for Quality and Business Systems at Lifeways Group. They built upon Sudha’s point about moving descriptive to prescriptive with Analytics and the journey of embedding the functionality in an organisation.

Mark Gray, Nourish AI Product Lead, hosted our second panel. It focussed on our new AI platform Nourish Confidence and it’s co-production journey. Our Clinical and Safety Lead Carrie Taylor and Emma Brazier, Business Analyst for Sanctuary Supported Living joined him on the panel. They discussed our journey to finding the right application for AI. As well as how we can change the ways of approaching audits to drive continuous improvement for people with support in addition to how we can bring together different functionality to provide holistic, truly person centred care and support.

Over lunch attendees were treated to a tour of the venue. Getting to take in the history and groundbreaking work that took place in the birthplace of AI.

The best discussions happened in between all of the sessions. We took the opportunity to display many of the new platforms and features of the Nourish ecosystem. Talking to people from across the wide range of care and support services represented by our attendees is always the highlight of these events. We closed on a discussion of our roadmap. And our Chief Technology Officer Jamie Hibbard making a special announcement about our AI Labs!

We are incredibly grateful to everyone who joined us in Bletchley Park. Some of our attendees even jumped on camera with us to share their experiences and perspectives. You can see these Nourish users in the video, and look out for longer versions of their interviews on our social media!

Ozayr Patel, Development Manager, Lancashire County Council
Steve Bowler, Digital Transformation and Implementation Manager, Greensleeves Care
Sian Smail, Health and Social Care Data Analyst, Care Dorset UK
Elliot Goodwin, Area Director, Consensus Support Services
Alicia Ingham, Operational System Improvement Lead, MHA
Jay Harper, Head of Communications and Projects, Rehability UK
Jane Hayden, Head of Technology, Treloar’s
Ross Watson, Senior Product Manager, HC-One
Gemma Pitman-McGrath, Clinical Development Nurse, Barchester
Steve Daniels, Operational Change Lead, iVolve Care & Support

We are so excited for the future of AI & data in health, care and support technology. Find out why on our Nourish AI page.

Value is a vital when operating a care home. It is imperative for providers to make the right decisions, with the right returns, to maintain a successful service. Which is why finding the right digital partner is crucial when choosing technology for small care homes.

We spoke to Subhaan Iqbal, IT Director and Compliance Lead at Principle Care Homes, about his experience. Subhaan has extensive experience supporting care providers with their digitisation, and has learned the importance of getting started at the right time. They wanted to establish their technology before expanding their locations, and they found the perfect partner in Nourish.

Watch the video below to learn how Nourish Care works with the team at Principle Care home to deliver the results they want. Including how the Nourish Partnership Programme helps them build the right digital ecosystem for their service. There are a lot of different types of technology for small care homes. With so many options to choose from, and so many decisions to make, the NPP can help you find the best technology for your community.

You can watch the Principle Care Homes case study here below.

Anthropic recently published a new constitution for ‘Claude’, their Gen AI model. The AI is designed for natural conversation, complex reasoning, coding, analysis, and content creation. Anthropic was founded with the aim of creating AI with a focus on safety and ethics. An ambition shared in the health and care sectors, where safety is a paramount concern given the huge responsibility communities entrust in their care and support providers. Throughout their technology’s iterations Anthropic repeatedly look to connect their functionality to human values. This approach resonates with us at Nourish, where we firmly root our AI models in lived experience by always keeping a ‘human in the loop’ throughout the design process. We believe principals are essential for applied AI, as we continue to search for the most impactful and effective applications of AI in health and care technology.  

 Our director of Data and AI, Sudha Regmi, saw several parallels between Claude’s new constitution. Here are her three key takeaways from the recent announcement.  

“When you’re raising kids, you can’t just hand them a list of rules and hope it covers every weird eventuality life throws at them,” explained Sudha. “You try to teach values and principles, then trust they’ll generalise when it matters.” 

 Anthropic is basically saying the same thing. No, not that all GenAI is inherently attention seeking and impulse driven. (That’s just a good portion of the user base). They are saying, don’t just tell the model what to do, teach it why with context. This gives the model the ability to generalise across novel situations. With ‘rules’ in place, GenAI can become confused by edge cases. With ‘principals’ the model is better designed to understand context and infer the correct decision.  

“This is an understandable but misleading hangover from early AI scepticism. Pretraining is very important for AI models, but is not the be all and end all, especially for applied AI. Post-training is also very important. Along with feedback loops, policy layers and product choices. When choosing how to apply AI models to modern challenges, there is no predictable answer. We must, to borrow a technique from social care, review our impact, continuously improve and remain connected to lived experience.” 

No two experiences are exactly the same. You can see this in the real world with “the same base model” behaving differently depending on where you use it. Put the same prompt into different models and look at the output. These differences express themselves across both different models and different iterations. For example, think about the difference in output when you have Copilot (in gpt5 mode), ChatGPT or OpenAI GPT models doing the same tasks via APIs. Or the differences when using Claude Sonnet in Claude Code vs Claude Cursor.  

There are vast differences in models that share similar origin stories. Applied AI will continue to develop in a huge variety of fields. We must be able to more deeply understand the context of the model, before we can effectively teach the model the context of its application. 

“The constitution is explicit about priority order: safe → ethical → compliant → helpful. It includes ‘hard constraints’ for especially high-stakes work. It validates that the process of building AI is just as important as the product.” 

The process of building applied AI is crucial. Principles are deliberate, and they can’t just live on a slide deck. They must be represented in your approach to AI design, including: 

Incentivising the right kind of outputs for the context
Health and care are not vibes-based domains. Decision carry a huge amount of weight and privacy. Context is essential for understanding both best practice and the reality of the responsibility. 

Human-in-the-loop validation with clinical experts 
Lived experience remains the alpha and the omega for technology design. Without human input into the design process, AI can never be considered responsibly designed.

Tight feedback loops with our customers to pressure-test what “good” looks like in practice 
That’s what breeds confidence in applied AI. Not reverential ‘this is what the model said to do’. Not black box decision makers. But results driven by a combination of principles, process and validation.

If you’re building with AI right now or even thinking about adopting AI tools, we’d recommend reading the constitution. Even if you disagree with parts of it. It’s a useful window into how one lab is translating “alignment” into something operational. 

If you want to know more about Nourish Care’s approach to applied AI for health, care and support, click here. 

This October we were very proud to introduce Nourish Safety at Care Show Birmingham 2025. Revisit our session, Incidents, Accidents and Action from the care sector’s headline event. where we explored our exciting new incident and accident management platform Nourish Safety

We discuss the challenges at hand with incident and accident management before moving on to how we are addressing them with Nourish Safety. Lyndsay Atkinson-Swales then shares how Nourish Safety is already helping them to improve lives at St Anne’s Community Services.

Mark Gray, Nourish Safety Product Lead, Nourish Care
Lyndsay Atkinson Swales, Director of Operations and Quality, St Anne’s Community Services
Carrie Taylor, Clinical Safety Lead, Nourish Care

Beyond the numbers, the impact of incidents – 0:00
How we approached the problem – 1:21
Common challenges from providers – 5:15
What we set out to build – 8:25
Solution Pillar 1, remove barriers, quick capture, configurable escalations – 10:07
Solution Pillar 2, encouraging best practise with event specific pathways – 12:10
Solutions Pillar 3, trends, dashboards and our real time event tracker – 17:30
Providers’ Story, St Anne’s Community Services’ rollout – 19:55
Positive outcomes – 22:40
Roadmap – 24:40
Q&A – 27:10

‘Tis the season to be jolly, spread cheer, and share plenty of laughter! The festive period is a wonderful opportunity to bring people together through fun, creativity, and community spirit. Here are some heart-warming ideas to help make your celebrations extra special.

If you are looking for more activity ideas, all year round, make sure you check out our monthly Activity Planners! 

Set up a mini tasting station with different toppings, marshmallows, cinnamon, whipped cream, or peppermint. A simple but delightful sensory experience that everyone can enjoy.

Create a “Winter Memories Wall” where everyone can share their favourite holiday memories or wishes for the season ahead. Use colourful paper snowflakes or stars for each note, a beautiful way to reflect and connect.

Nothing says “Christmas is coming” like a bit of tinsel and sparkle! Get everyone involved in decorating shared spaces or their own rooms. Encourage personal touches, from choosing favourite colours to hanging handmade ornaments. You can adapt the activity for all abilities, using accessible tools and seating arrangements to ensure everyone feels part of the fun. Why not host a crafting session to make your own wreaths, baubles, or window displays?

The joy of live entertainment can truly lift spirits. Invite local choirs, school groups, or theatre troupes to perform carols and festive plays. If in-person visits aren’t possible, consider a virtual concert or recorded message from a community group, it’s a lovely way to stay connected and spread cheer.

A Christmas classic can always be a delight. This season is timeless so you can enjoy films from across generations. With so many options to choose, from ‘It’s a Wonderful Life’ to ‘Love Actually’ there are options for everyone! Add an extra layer of comfort with snacks and hot chocolate. 

Design and make your own Christmas cards to share with your circles of care. Festive activities take many forms and sharing cards is the perfect way to express your creativity. Plus you can send some heartfelt messages to the important people in your wider community!

Bright, bold, and brimming with personality, Christmas jumpers bring instant joy! Encourage everyone to wear their quirkiest knits and take a group photo to share the fun. You could even turn it into a mini fashion show or friendly contest for the “Most Festive Jumper.”

It’s not a holiday without treats! Host baking sessions where people can participate in making cookies, gingerbread houses, or decorating cupcakes. The scents of freshly baked goods evoke nostalgia and create a warm, homely ambience. 

Gift-giving is a fundamental part of the season and one of the most enjoyable festive activities. The joy and love we share with each other can lift our spirits on the shortest days. Organise a Christmas shopping trip for a fun day out. Then come home and make sure you wrap them up well! Secret Santa is a fantastic way to make sure everyone is involved and excited.  

Christmas quizzing is a modern British tradition! They are a brilliant way to keep the mind active and engaged. You can shape your topics to the knowledge of your community and give everyone a chance to show off in each round!  

We launched three new products at this years Care Show Birmingham: Nourish Safety, Nourish Transparency and our new home care app. Additionally, we hosted a session on each new product to share our perspective, research and ambition. With Nourish Transparency we spoke about moving beyond dependency.

Our hosts were our Chief Product Officer Matthew Stewart and Data Product Manager Paul Skuse. They took us through Nourish’s collaborative approach to developing Nourish Transparency. Detailing how lived experience and operational realities informed the platform’s development.

Learn how Nourish approach the challenge of identifying the ‘true cost of care’, why we need to support growth throughout care plans and how Nourish Transparency promotes sustainable operations in social care.

(Starts at 1:18)

There is a projected funding gap of £4.4bn. However, an accurate estimate is hard to come by as current methods are cumbersome for understanding the cost of care. Our conversations with providers taught us that the bigger problem is lack of transparency.

(Starts at 3:20)

We share some of the insights from our conversations with providers. They highlighted the problem of not being able to truly know someone’s care needs as soon as you’ve met them. We explore the financial, operational and human challenges this situation creates.

(Starts at 5:30)

Paul explains how these challenges shaped Transparency. He talks through the key objectives of the design team, drawing upon the feedback from our interviews with providers.

(Starts at 7:35)

A quick tour through our assessment. It details the three key areas we assess and how Transparency simplifies workflows with configurability and an intuitive layout.

(Starts at 9:20)

How the assessments translate to Full Time Equivalents (FTEs). A key metric for understanding your true cost of care. This includes highlighting your surplus and deficits and further details.

(Starts at 11:08)

We share what our next steps are. As well as some examples of how providers are already using Transparency in their communities. We are very proud of what we’ve built, and we very excited for how we can continue to build upon it!

Find out more about Nourish Transparency and we can work with your service. Contact us directly today!

Care Show Birmingham 2025 was a highlight of this year’s social care calendar. And we had plenty to highlight at Nourish. With two floors and three new products to share we were very excited for the opening bell on Wednesday morning.  

Over two days at the NEC Birmingham, the event brought together hundreds of care professionals, thought leaders, suppliers and change-makers. The energy was electric, the conversations rich, and we captured highlights in our recap video for you. A special shout out to Heather Taylor, National Digital Projects Lead for the National Care Forum for joining us and sharing their experience! 

From sessions on workforce development to digital transformation, regulation, and assistive technology, Care Show 2025 offered a snapshot of where the sector is going. And, crucially, how we can shape it together.  

We even took to the stage ourselves! 

Our Chief Product Officer, Matthew Stewart, joined our Product Manager, Paul Skuse on stage. They 
talked us through the development and application of Nourish Transparency. Highlighting how we can utilise existing information to move beyond dependency. 

Our Home Care Product Lead, Paul Antonioni, shared how Nourish Better Care at Home’s new app is designed for the future. Paul detailed how we champion a mobile first, person led approach for care at home. 

We discussed Nourish Safety’s ability to support turning incidents into action. With Product Lead, Mark Gray, Clinical Safety Lead, Carrie Taylor. And featuring special guest Lyndsay Atkinson Swales, Director of Operations and Quality, St Anne’s Community Services. 

If you’d like to chat in person, we’d love to see you! Check out where we’ll be this November.

Care is always evolving. Over the past five years we have seen a notable increase in the demand for home care in the UK. The population is ageing, and people want to be able to live freely at home for longer. That is why care technology needs to evolve quickly as well. In today’s fast-paced world of home care delivery, frontline teams face mounting pressure to deliver high-quality, personalised support. Often with limited resources and fragmented tools. Traditional systems fall short, leaving carers without the context they need, struggling with poor connectivity, and relying on insecure communication methods.  

This blog explores how a mobile-first, context-aware care platform can reshape the way support is delivered.  

We’ll dive into how this innovative approach empowers carers, improves outcomes, and brings confidence back to every visit. 

Information is key to quality care. Carers, especially those in home care, are asked to wear a millinery’s worth of hats throughout their day. On traditional platforms, carers often lack visibility into why tasks are required. This can easily lead to disjointed care, creating gaps and inconsistencies in the application of someone’s plan. Which leads to missed opportunities for better outcomes. 

We work with our users to continually review and develop the functionality of our products. We are building out care tasks, interactions and assessments that link directly to care plans. Giving carers real-time context to deliver more informed and personalised support. 

The new Better Care at Home app connects each interaction to a section of the care plan. Crucially, including a client timeline for context, so that every interaction is connected. The app provides instant access to critical information, including emergency packs, allergies, and assessments. Ensuring your team knows everything they need for quality home care delivery. 

Of course, all the functionality in the world doesn’t matter if the app doesn’t turn on when you need it. Or, to borrow a phrase from my old football coach, ‘the best ability is availability’. He had a few ways of saying it in fairness, however this is the only one I feel comfortable repeating.    

Unreliable mobile signals and clunky interfaces slow down home care delivery. Which leads to frustration for your teams when they don’t have access to the things they need to succeed. Much like a certain unnamed football coach for Castletroy Rovers’s under-12s.  

The Better Care at Home app supports care wherever it happens. Whether in someone’s home or on the go. With offline access and intuitive tools that work in real-world conditions.  

Offline mode ensures carers can record and access key information, even in low signal areas. Storing the recorded information on the app and uploading it as soon as a connection becomes available. Ensuring no important interactions go unrecorded. Features like appointment views, body maps, and medication tools make care delivery simpler and faster in the field. 

We develop all our features with our users. Creating a continuous feedback loop throughout the development process. By co-producing our products, we can ensure that they are both fit for the role, and accessible to the user. 

Communication is key. It lies at the centre of all successful systems. In home care delivery, disjointed communication between carers and managers leads to missed updates and disparate perspectives. Which in turn can lead to a reliance on unsecure tools like WhatsApp or Facebook Messenger.  

Better Care at Home enables care teams to stay connected and informed with secure in-app messaging. Keeping your communications exclusively between your team. With built-in support that is only ever a click away. As well as a Microsoft login to make accessing the platform easier for your users. Features that promote ease of access and collaboration for every interaction.  

In-app messaging supports team to team and group conversations securely. Building connections across your service, regardless of where your team are at the time. This can help bridge the distance that naturally occurs in home care delivery. Our integrated guides and user-friendly interface help your team to quickly become comfortable using our app. Allowing for their care to evolve in line with our functionality, as they unlock more time with the people they support. As well as more information about the life that person leads and the care and support they desire. Improving access, auditability, and security for your whole service. 

As the demand for home care continues to grow, so too must the tools we rely on to deliver it. The Better Care at Home app represents a meaningful step forward. Not just in technology, but in how we think about care itself. By working with Nourish users we understand some of the key challenges providers face. Including gaps in information, accessibility issues and fragmented communication. Our mobile-first, context-aware platform empowers carers to provide more informed, responsive, and compassionate support. 

With every task linked to a care plan, offline functionality that works in the real world, and secure communication built in, Better Care at Home is more than just an app update, it’s an upgrade. A partner in delivering confident, connected care. And by co-producing with the people who use it every day, we ensure it continues to evolve alongside the needs of the sector. 

It takes a lot of hard work to make something look easy. It takes hard work and coproduction to make something easy to use. At Nourish Care we pride ourselves on the intuitive structure and accessibility of our products. We put an incredible amount of time and effort into the useability of our platforms. From concept and discovery, to prototypes, iterations and testing. At every step of the way we remain engaged with our users to ensure that our users can engage with our software. Creating a continuous cycle of feedback for us and consistently evolving solutions for our users. We are currently building a new iteration of our Better Care at Home mobile app. A process deeply rooted in and shaped by the experiences of our current Better Care at Home users.  

Every new product and feature at Nourish begins the same way. With a process of discovery. Over the years at Nourish our approach to discovery has changed and expanded. However, the focus remains on gathering as much information from as many perspectives as possible. This routinely involves sending a survey out to all of the relevant Nourish users. For example, the Nourish Better Care at Home survey was focussed on home care providers and their communities.  

We then take the responses to this survey and bring them to a multi-disciplinary team (MDT) at Nourish. This team consists of engineers, designers and researchers. They work together, guided by the survey responses and other user insights, and build a prototype. From there we move to our initial stage of testing. 

The first test we conduct on this prototype is done internally. The first steps of anything are generally best done in private after all. At Nourish, we have always been informed by the rich, first hand, care experience that exists throughout our company. We ask Nourish employees with relative experience, but who aren’t on the design team, to test the prototype.  

These tests are both moderated and unmoderated. What that means is some tests are conducted in office. While others are done privately, at home and out in the community. We trust the experience of our team members to apply the prototype honestly and earnestly. We then conduct follow up interviews to review their experience and apply that into the next stage of development.  

This initial group of testers tends to be fairly small, generally between five and ten people. Our MDT for the project then iterate based on the feedback they received. This process is led by our user experience designer. Throughout this iterative process the team routinely checks in with customer facing Nourish employees for their perspective. This includes primarily our Account Managers and Customer Support Managers. The people who most routinely interact with Nourish users and best understand your day-to-day needs. Their feedback is fed into the iterative process alongside the results of our internal testing. This ensures we keep both our users and the people they support in mind while designing and sets us up with a final prototype. Once we have this ‘final prototype’ it’s time for, you guessed it, more testing! 

The key to good design is to keep the right parties engaged throughout the process. At Nourish this means consistently involving the people using our system in the design process. For the final round of testing we return to the initial one, discovery. When conducting surveys, we include an option to sign up for the usability test of the product. These sign-ups unlock an unmoderated and quantitative research base for us to utilise. Which provides a crucial contrast to our initial testing. Where once we used a small, internal team, now we want to cast as wide a net externally as possible.  

Think of it like this, a user experience designer walks into a bar. They order a beer, they order 10 beers, they order –1 beers, they order 1000 beers. Everything works fine, they leave happily. A customer walks into a bar and asks where the bathroom is. The bar explodes.  

No internal test will ever predict everything an external user base will try with a platform. Furthermore, no internal team could ever truly predict everything a user will need. In technology generally, and in social care explicitly, there is little room for error. By testing our prototype with a wide range of users we get a much more informed picture of what it’s application will look like. 

We can review engagement to learn patterns of behaviour. Highlighting which aspects of the platform get the most use or take the longest time to complete. Crucially, it also gives us a better insight into the sentiment of the users. Not just how well did it work, but how did using the platform make you feel? All of this information is invaluable for promoting useability and a testament to the power of coproduction in care technology. 

This process has revealed several points of attention and necessary tweaks in Better Care at Home. We more clearly understood the impact and benefit of our emergency admission pack button thanks to the wealth of positive feedback received for it.  

It also shows us some areas of difficulty or navigation blind spots we previously missed in the workflow. Points like a clickable button not appearing clickable leading to user confusion. Or people feeling like a particular function should be accomplishable in one click rather than multiple clicks through several pages.  

We improve useability in our products by mapping our workflows to the mental model of our users. Repeating this process and valuing the feedback of our users sincerely is what enables us to move from iteration to intuition.  

With Nourish Better Care at Home, ultimately, what we are hoping to achieve is pretty straightforward. We want to make the new mobile app easy to use on an ongoing basis. A platform that is intuitive and adaptive, so carers can spend more time well informed and with the people they support. Delivering quality care is always going to be rewarding, but hard work, the least we can do is make the technology easy. Of course, we couldn’t do it without you. 

Learn more about our new app for Better Care at Home, and how we’re building the future of care technology with our users.

Artificial intelligence (AI) has shifted from a niche topic in tech circles to a headline conversation across health and care over the past couple of years. What was once the preserve of data scientists and software engineers is now discussed in care home corridors, home care offices, and even over the dinner table! But while the hype is loud, the reality for social care is more nuanced, filled with both opportunity and the responsibility to get it right. Join us as we explore the reality and potential of AI in social care.

Much of the buzz stems from Generative AI (GenAI). Tools like ChatGPT and Microsoft Copilot that create new content like text or images. These have made AI accessible to anyone, even those with no technical background. This accessibility has sparked imagination and curiosity across the care sector. Care leaders are starting to ask, “What can AI do for us?” 

However, the reality is that large-scale return on investment (ROI) for AI in social care hasn’t been fully realised yet. While the tech industry is racing ahead, the challenge for our sector is not to chase AI for its novelty. But to apply it deliberately to real business and care problems. 

Two clear paths exist: 

For obvious reasons, at Nourish we believe it’s the second path that holds real promise for social care. 

At its best, AI offers a way to augment human work, not replace it. In social care, this means easing the administrative load, surfacing critical insights faster, and supporting preventative approaches that improve quality of life for the people we serve. 

A useful way to think about this is through the ‘Triple Aim’ framework from US healthcare, which focuses on: 

For UK care providers, AI can directly support these aims. For example: 

Crucially, this is not about replacing carers with algorithms. It’s about using AI in social care to lift some of the cognitive burden. So that staff can spend more time doing what only humans can. Building relationships and delivering compassionate, intuitive care. 

AI depends on data, and in social care, the ongoing shift to digital systems means we now have more data than ever before. Care records, care notes, health metrics, and incident reports all hold valuable insights if we know how to extract them. 

Two main AI techniques are particularly relevant: 

The most effective approach blends these techniques with expert oversight. A concept known as supervised learning. This ensures the AI’s “understanding” is guided by the experience of clinical professionals and frontline carers. Which in turn ensures the insights it produces are safe, relevant, and trustworthy. 

Social care deals with some of the most sensitive data possible, and the wellbeing of real people. That makes Responsible AI not just an ethical choice but a practical necessity. 

Responsible AI follows core principles: 

This last principle is crucial. In social care, AI should suggest, not act. That is what we mean by augmenting, rather than replacing care. A falls-risk prediction, for example, should prompt a human review and intervention. As opposed to automatically changing a care plan. 

This protects against the risks of over-automation. So, providers can ensure that the irreplaceable human qualities of care, empathy, intuition, and contextual judgment, remain at the centre. This is why we build systems that are transparent and auditable. So, we understand why recommendations are given and remain accountable to them. 

Responsible AI opens the door to several promising use cases: 

These examples share a common goal. Namely: moving from reactive care ‘What happened?’ to proactive and preventative care ‘Why is it happening, and how can we change the outcome?’. 

For AI to be embraced in social care, trust must be earned and maintained. This means: 

Trust isn’t a one-off achievement. It’s a relationship that must be nurtured through ongoing transparency and collaboration.  

The potential of AI in social care is undeniable. Used responsibly, it can improve outcomes, reduce costs, and allow carers to focus more on human connection. But the key word is ‘responsibly’. Rooted in human experience and shaped by the people and communities it supports. 

The most effective AI in our sector will come from co-production. Solutions developed hand-in-hand with those who understand the realities of care and support. Both in terms of those who provide care and support, and those who utilise it. This ensures the technology supports the real needs of the sector. Rather than forcing the sector to adapt to the technology. 

In the end, AI in social care should not be about replacing human judgment but empowering it. The goal is a future where technology enhances the compassion, skill, and dedication that define our sector. Where AI is the assistant, and people remain firmly in charge. 

Watch our Head of Data and AI, Sudha Regmi, discuss responsible AI and our Responsive Design at UKCW 2025 here.