Bringing leaders together to solve shared challenges
Last month, we hosted a private dinner with senior leaders from across the charity sector to explore AI in the charity sector and the role of data in driving impact.
The goal was simple: create space for an honest conversation about the challenges organisations are facing and how technology can help address them.
From rising operational costs to ineffective data management, and from navigating AI opportunities to rethinking how technology enables smarter ways of working, the themes were consistent. While missions differ, the underlying challenges are shared.
What emerged was a clear message: the sector is at a turning point, and collaboration will shape what comes next.
A powerful mix of perspectives across the charity sector
The esynergy third sector dinner brought together leaders from organisations including; Macmillan Cancer Support, RNLI, Great Ormond Street Hospital, Marie Curie, Cancer Research UK, The King’s Trust International and Samaritans.
Despite their different missions, they are all working toward a shared goal: building a more equitable and resilient society. Charities exist to support communities that are often underserved, those facing crisis, inequality, or limited access to essential services.
What made the conversation powerful was a shared understanding that:
- No organisation operates in isolation
- Impact is amplified through collaboration
- Collective effort strengthens civil society
While each organisation delivers its mission in a unique way, there is an increasing need to work more closely together, ensuring every pound donated goes further, and more of it reaches frontline impact.
Why collaboration is essential for future impact
Leaders agreed that collaboration is no longer optional. To meet rising demand with limited resources, charities must work together more effectively.
The dinner created space not just to connect leaders, but to explore how this can be achieved more effectively, particularly through the way we design and use technology.
There was clear alignment on the need to:
- Reducing duplication in systems and operational processes
- Sharing tools, data practices, and best practices
- Investing in scalable solutions
- Prioritising frontline impact
This is where technology plays a critical role, not as an overhead, but as an enabler. By reducing operational complexity and improving efficiency, it allows charities to redirect more of their resources toward the work that matters most.
The role of data in enabling AI in the charity sector
Unsurprisingly, AI in the charity sector was at the centre of the conversation.
There is clear excitement about the opportunities AI presents, from improving supporter engagement to streamlining operations and unlocking new insights. But there was also a shared realism about the barriers.
As the discussion deepened, it became clear that these opportunities are only achievable with the right foundations in place.
Data management and quality – Many organisations still face fragmented data, inconsistent definitions and limiting visibility, meaning that AI initiatives struggle to move beyond experimentation.
Master data management (MDM) – Reliable, unified data is essential for confident decision-making and meaningful insights.
Data governance – Clear ownership, policies, and standards are critical, especially as AI introduces new risks around compliance and accountability.
Data literacy – Data must be understood across teams, not just by specialists, to unlock its full value. Strong data foundations are essential to making meaningful progress with AI.
Overcoming barriers to adopting AI and data
Many charities are experiencing “analysis paralysis” when it comes to transformation.
With so many tools, platforms, and possibilities available, it can be difficult to know where to begin, especially when resources are limited.
This often leads to:
- Delayed decision-making
- Overly complex programmes
- Missed opportunities to deliver incremental value
The discussion highlighted an important shift in thinking. Rather than focusing solely on large-scale transformation programmes, there is increasing value in:
- Solving specific, high-impact problems
- Investing in targeted products and services
- Delivering incremental improvements that compound over time
- Integrating solutions rather than replacing everything at once
This approach reduces risk and ensures that both data and technology investments deliver measurable outcomes, particularly when implementing AI in the charity sector.
Key takeaways
Reflecting on the evening, three key takeaways stand out:
AI and data are central to future impact – there is a shared commitment to using AI in the charity sector alongside strong data practices to drive meaningful change.
Progress comes from practical solutions – transformation doesn’t always require large, complex programmes, focused, well-defined initiatives often deliver the most value.
Measuring social return is critical – being able to clearly demonstrate impact, supported by reliable data, is essential for accountability and decision-making.
What’s next for the charity sector
The conversation doesn’t end here.
We’re continuing to explore ways to bring the sector together through more accessible online discussions and events, ensuring organisations of all sizes can participate.
We’ll also build on these themes in our upcoming Tech Series, covering resilience, governance, and leadership in complex environments.
👉 Explore our upcoming events here.
👉 Learn more about how we support the charity sector here.
