From Trusted Data to Trusted AI at TechSmart 2026

We’re delighted to be a Silver Sponsor for TechSmart 2026, an event that brings together technology leaders, innovators, and business decision-makers to explore the latest trends shaping the future of digital transformation.

Don’t miss Kerv’s expert-led session on how mission-driven organisations can turn data into a strategic asset and adopt AI with confidence. Discover how the right foundations, governance, and approach can help organisations drive greater impact while maintaining the trust of donors, volunteers, and stakeholders.

From Trusted Data to Trusted AI 

Data, when done right, becomes a powerful enabler for nonprofits. In this session, Kerv will share how to build the foundations needed for better visibility, insights, and reporting across your organisation. AI only as strong as the data behind it, getting this right is essential to enabling responsible, effective, and trusted AI adoption.

We’ll also cover why Responsible AI is critical in a sector built on trust – looking at governance, strategy, and real examples of where things can go wrong without the right approach. You’ll see how nonprofits can approach adoption safely and ethically while protecting the trust of donors and volunteers and avoiding common risks.

Finally, we’ll bring it to life with a client story showcasing how AI has been responsibly deployed. Trained in domain context, it has helped save time, reduce unconscious bias, improve consistency, and deliver meaningful outcomes.

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Whether you’re looking to modernise operations, strengthen security, harness AI, or unlock greater value from your technology investments, our team of experts will be on hand throughout the day to share insights, answer questions, and discuss how Kerv can help organisations achieve meaningful business outcomes through the power of technology.

Visit us at our stand to meet our experts, discover real-world customer success stories, and learn how we help organisations thrive through innovative digital solutions.