AI in Social Care
AI in Social Care
Podcast Description
Find practical ways to implement AI and be more effective in your care organisation. Plus, get updates and insights you need to keep up with this rapidly-changing field.
In each episode, I speak with people building new AI tools, or those implementing them successfully. That could be software developers, founders, care leaders, or people on the ground who’ve embraced AI.
We’ll dig into:
-Where AI is delivering real efficiencies and value
-The practical side of adopting new tech in a care environment
-The ethical, operational, and human considerations
-How AI intersects with marketing, business development, and organisational systems
Podcast Insights
Content Themes
Explores topics related to AI in social care, including efficiency improvements, ethical considerations, and real-world implementation, with episodes covering subjects like AI's role in CQC inspections and time-saving AI tools for care teams
Explore tools, trends, and expert insights for care home operators and innovators.
In each episode, I speak with people building new AI tools, or those implementing them successfully. That could be software developers, founders, care leaders, or people on the ground who’ve embraced AI.
We explore how AI can be ethically and effectively applied in care settings and dig into:
-Where AI is delivering real efficiencies and value
-The practical side of adopting new tech in a care environment
-The ethical, operational, and human considerations
-How AI intersects with marketing, business development, and organisational systems
What does it actually take to make AI work in a care setting?
In this episode of AI in Social Care, I sit down with Kevin Humphrys, CEO of Oakland Care Group – a two-home provider that’s quietly doing some of the most thoughtful, practical AI implementation I’ve seen.
No outsourced transformation project. No shiny tools for the sake of it. Just a leadership team willing to start with principles, and adjust the plan as they go.
Here’s what stood out:
– They didn’t wait to have it all figured out. They started with 5 rules.
– Staff now build their own AI agents – including senior care staff. Not because they were “techy”, but because they saw the value.
– Care planning went from 4 hours to 20 minutes – with better oversight, not less.
– They spotted bias the hard way – and built systems to catch it next time.
– Most importantly: they’re not using AI to cut corners. They’re using it to give staff time back.
If you’re in a care leadership role and feel like you’re already behind on AI, you’re not. But the gap will grow quickly in 2026 – and this episode shows what it looks like to start where you are, with what you’ve got.
Resources
Kevin’s Gen AI Governance template: https://drive.google.com/file/d/1Yx6CSQe5y0bAuNWx9Ong7mOxdeZXm_U6/view?usp=drive_link
📄 Free starter resources at frankcaremarketing.com
#AIinCare #CareSector #SocialCareLeadership #CarePlanning #SocialCareTech
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.