Everyone is talking about AI. Far fewer organisations have worked through what it takes to use it responsibly, confidently and in a way that creates lasting value.

The challenge is rarely the technology alone. Questions around governance, policy, accountability, risk and organisational readiness are often much harder to solve. How should AI be used? Who is responsible for decisions? What safeguards should be in place? How do you bring people along on the journey?

In this session, you’ll hear from Blackbaud customers and partners who are actively working through these questions. Through honest discussion and practical lessons, we’ll explore the leadership decisions, governance frameworks and change required to move from experimentation to responsible adoption.

As AI becomes more common across fundraising and operations, organisations that put the right foundations in place now will be better positioned to use it safely, effectively and with confidence.

WHAT YOU’LL LEARN

• What responsible AI looks like in practice for fundraising and operations teams
• How organisations are building governance, policies and internal guardrails
• The leadership decisions required to move from experimentation to adoption
• How to build trust, accountability and confidence across teams
• How customers and partners are preparing for AI-enabled ways of working    

YOU’LL LEAVE WITH

• A clearer understanding of what responsible AI should look like in your organisation
• Practical ideas for creating AI governance and policy guardrails
• A stronger case for why AI readiness needs leadership attention
• Insights from organisations already working through similar questions
• A practical starting point for moving from AI curiosity to responsible action    

WHO SHOULD ATTEND

• Executive and senior leaders
• Fundraising and operations leaders
• Database managers and CRM administrators
• Data, insights and analytics teams
• IT and digital transformation leaders
• Anyone responsible for organisational readiness, innovation or AI adoption