Why social care professionals are leading the way in purposeful AI adoption and what it means for the future of care

Drawing on research with nearly 300 health and social care professionals, our partners at System C explore why social care is leading the way in purposeful AI adoption, and what this means for the future of person-centred care.

Something remarkable is happening in social care. Recent research involving nearly 300 health and social care professionals, conducted by System C, reveals that social care workers are not just ready for AI – they may be leading the way in understanding its transformative potential. An extraordinary 97% of social care professionals agree that AI built to solve real-world challenges will help them provide better support. Even more striking, almost 99% believe AI’s most valuable function is to reduce repetitive administrative tasks, allowing for more time for person-centred support.

These are not tentative endorsements of a sector reluctantly accepting change but the emphatic voices of professionals who have identified exactly where AI can make a material difference.

The administrative burden is not inevitable

The scale of administrative burden in social care is well-documented. Social workers routinely spend hours after each assessment transcribing notes, structuring information, and completing forms – time that could be spent building relationships and developing support plans.

One Social Care Transformation Manager at Suffolk County Council describes the all-too-familiar experience: “When I was taking notes, I didn’t always feel that I was present in the conversation because I was desperately trying to capture what was being discussed.”

This is not just inefficient, it fundamentally undermines the quality of care. When practitioners are focused on documentation during an assessment, they miss nuances in body language, tone and the unstated concerns that often matter most.

The deployment of AI-powered tools at councils like Suffolk and Cheshire East demonstrates that this burden is not inevitable. Social workers using ambient listening technology report ‘life-changing’ impacts. One complex assessment that previously took 2-3 hours of post-visit documentation can now be completed in under 30 minutes.

But the impact extends far beyond time savings. Practitioners report being able to build better relationships with citizens, conducting more natural and less intrusive assessments. This is AI’s greatest potential in social care – not replacing human judgement but restoring the human connection at the heart of social work.

AI as enhancement, not replacement

The fear that AI represents job replacement rather than job enhancement is a persistent barrier. Yet the emerging reality tells a different story. The technology doesn’t conduct assessments, social workers do. AI records and transcribes the conversation, allowing the practitioner to focus entirely on the person in front of them. The practitioner retains complete editorial control over all content before it’s saved to the record.

What’s more, AI can enhance professional judgement in unexpected ways. One social worker noted that AI helps by framing insights clearly, often improving the quality and information captured in assessments. This is intelligent augmentation at its best – not replacing expertise but amplifying it.

Trust through transparency and collaboration

The high level of trust among social care professionals doesn’t mean concerns are absent. Ninety-five percent fear that AI developed without ethical principles could undermine human judgement. But crucially, 80% would trust an AI tool developed with their peers to provide alternative recommendations while respecting their professional judgement.

This qualified trust reveals that co-design, transparency and practitioner control must be the path forward. The most successful implementations are those where practitioners can view full transcripts, see precisely which parts of a conversation informed an AI-generated summary, and replay audio directly from the assessment form to confirm accuracy.

As one social care professional emphatically stated: “The practitioner’s professional judgement must always be the final arbiter. AI is a tool for support, not a replacement for critical thinking.”

Integration is the make-or-break factor

Poor integration with existing systems is one of the top barriers to adoption, cited by 47% of professionals. Social care operates on dedicated case management systems like Liquidlogic, configured differently across local authorities. An AI tool that exists as a separate application will fail regardless of its technical sophistication.

When built as part of a case management solution, the workflow becomes seamless. A practitioner uses a mobile app to record a conversation, and the AI automatically pre-populates the relevant assessment form. No application switching. No copying and pasting.

Social care stands at a pivotal moment. Practitioners have identified exactly where AI can help. The technology exists and is proving its value in real-world deployments. Cheshire East Council’s broader AI transformation programme is projected to deliver between £40 million to £60 million in total benefits over five years.

What’s needed now is strategic commitment from leadership, sustainable funding models, and continued co-design with practitioners. The sector cannot afford to let this opportunity slip away. The alternative of continuing down the path of unsustainable administrative burden, workforce burnout, and fragmented care is untenable.

The future of social care depends on embracing AI not as a threat, but as a tool to restore what matters most – human connection and person-centred support.

Download the full whitepaper, AI with Purpose: Insights from 300 Voices Shaping the Future of Health and Social Care, to explore the complete research findings, detailed case studies, and comprehensive recommendations for implementing AI thoughtfully and effectively in your organisation.