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Service Cloud, a best-in-class customer service platform offered by Salesforce, can be leveraged by nonprofits to enhance their operations, improve support, and drive meaningful impact.

Salesforce Experience Cloud enables nonprofits to create personalized portals and communities that foster engagement and collaboration. Fíonta’s team of experts makes it simple to set up Salesforce Experience Cloud and use it in conjunction with the rest of your Salesforce platform.

Nonprofit Cloud is a suite of nonprofit program and supporter relationship management applications built into the Salesforce platform. It provides a standardized data model and a comprehensive set of innovative tools and features. By working with an experienced Salesforce Certified Nonprofit Cloud consultant, nonprofits can harness the platform’s power to manage their operations, engage with their stakeholders, and drive their missions forward.

What Foundations Get Wrong (and Right) Along the Way When we talk to foundations about implementing Salesforce Nonprofit Cloud as their grants management system, the conversation usually starts the same way: “We need a new GMS.” After years of doing this work, we have learned that the technology is rarely the hardest part. The 2024 […]

ASAE MMC+ Tech brings together association and nonprofit professionals focused on marketing, membership, communications, and technology. The conference centers on practical insights, emerging trends, and real-world approaches to engagement from across the sector.

Fíonta is an exhibitor at MMC+Tech. Stop by to connect with our team and discuss how marketing, membership, and technology strategies can work together more effectively to support your organization’s goals.

This webinar explores how artificial intelligence creates both meaningful opportunity and real ethical risk when applied in the real world. The session looks beyond AI hype to focus on how outcomes are shaped by human choices around design, data, and governance.

Hosted by US Trans Corp, the conversation examines three common ethical fault lines: bias embedded in data, decision-making inside opaque “black box” models, and the privacy risks tied to large-scale data analytics. The session then shifts to practical approaches for using AI responsibly, including embedding human judgment, designing for transparency, testing with care, and aligning AI systems with organizational values and mission. Participants will leave with concrete takeaways to assess current AI initiatives and guide their responsible, human-centered use.

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