Dignity, a leading UK end-of-life care provider, has introduced an AI and Data Academy to streamline operations, empower staff with advanced digital skills, and set a new standard for ethical AI adoption in sensitive sectors.
Dignity, one of the leading end-of-life care providers in the UK, has launched an AI and Data Academy aimed at transforming its operational processes and enhancing efficiency across its extensive network of more than 570 branches. This initiative targets a cohort of 55 employees to empower them with artificial intelligence and data skills, addressing the company’s reliance on manual procedures. Among the challenges faced are the processing of over 100,000 paper cheques annually and manual forecasting at the branch level, alongside administrative tasks such as managing leases and site tracking through spreadsheets.
The AI and Data Academy is delivered in partnership with Multiverse, a notable upskilling platform focused on AI and technology adoption. The training is structured across several levels catering to both technical and non-technical staff. Notably, the Level 5 AI and Strategy Leadership programme is designed to equip non-technical leaders with the strategic understanding necessary to guide AI implementations within their roles. Concurrently, the Level 4 AI for Business Value curriculum fosters AI literacy across teams to transition from manual workflows, while the Level 3 AI Powered Productivity course integrates generative AI tools like Microsoft CoPilot and Gemini into daily tasks. This tiered approach exemplifies Dignity’s strategy to build a workforce proficient in utilising AI responsibly and effectively.
Zillah Byng-Thorne, CEO of Dignity, emphasised the transformational focus of the programme, stating that investing in employees’ advanced AI skills is central to driving meaningful change. She highlighted that this initiative will not only help streamlining operational processes but also empower staff to lead confidently in an AI-driven environment, ultimately enhancing service delivery and impact for the communities served.
From an industry perspective, Gary Eimerman, Chief Learning Officer at Multiverse, underlined that providing employees with practical AI skills enhances visibility and consistency across branches. The training is designed to prepare Dignity’s workforce to tackle complex challenges and improve decision-making capabilities, contributing to more value-driven outcomes.
Dignity’s launch is part of a broader trend where organisations across various sectors are embracing AI and data literacy programmes. For example, WPP has introduced the Demystifying Data & AI Academy, focusing on trends and technologies in AI, providing employees with confidence and business acumen through certification. Similarly, EIT Digital’s (d)Academy addresses the growing digital talent gap in Europe, offering modular courses in cybersecurity, data analytics, and machine learning to support lifelong learning and industry alignment.
Technology companies are also accelerating AI skill adoption; O’Reilly’s AI Academy offers extensive resources including books, live events, and role-specific learning tracks to boost generative AI competencies within enterprise workforces. Revature’s AI Academy in a Box similarly delivers comprehensive, ready-to-deploy upskilling solutions to rapidly build organisation-wide AI fluency.
Beyond corporate and technical domains, AI education and ethical considerations are gaining prominence in academia and ethics forums. For instance, Benedictine College inaugurated a Centre for Technology and Human Dignity to explore Catholic digital and biomedical ethics, addressing AI’s societal implications. The Markkula Center for Applied Ethics will hold Digital Dignity Day in 2025, focusing on AI’s impact on human dignity and ethical challenges, signalling a growing dialogue on balancing technological advancement with human values.
Dignity’s initiative, by aligning AI skill development with operational needs and ethical responsibility, represents a significant step in ensuring that AI adoption in healthcare-related services is both efficient and conscientious. The programme’s impact is anticipated to extend beyond internal efficiencies, potentially serving as a model for how organisations in sensitive sectors can integrate advanced technologies while fostering a responsible and skilled workforce.
📌 Reference Map:
- [1] (IT Brief) – Paragraphs 1, 2, 3, and 4
- [2] (WPP) – Paragraph 5
- [3] (EIT Digital) – Paragraph 5
- [6] (O’Reilly) – Paragraph 6
- [7] (Revature) – Paragraph 6
- [4] (Catholic News Agency) – Paragraph 7
- [5] (Markkula Center for Applied Ethics) – Paragraph 7
Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
✅ The narrative was published on 24th November 2025, indicating high freshness. No evidence of prior publication or recycled content was found. The report appears to be original and timely.
Quotes check
Score:
10
Notes:
✅ The direct quotes from Zillah Byng-Thorne, CEO of Dignity, and Gary Eimerman, Chief Learning Officer at Multiverse, do not appear in earlier material, suggesting they are original to this report.
Source reliability
Score:
8
Notes:
⚠️ The report originates from IT Brief UK, a technology news outlet. While it appears reputable, further verification of its editorial standards and history is recommended to assess reliability.
Plausability check
Score:
9
Notes:
✅ The claims about Dignity’s AI and Data Academy align with industry trends of organisations investing in AI upskilling programmes. The narrative provides specific details about the training partnership with Multiverse and the structured programmes offered, which are plausible and consistent with current practices in corporate AI adoption.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
✅ The narrative is fresh, original, and plausible. The quotes are unique to this report, and the source, while requiring further verification, appears credible. The content aligns with current industry trends, supporting its authenticity and relevance.
