We are exploring if there are opportunities to leverage AI within the Blackbaud CRM environment - one business use case is to help identify, segment, and classify constituents based on engagement, giving history, event participation, and other constituent attributes.
Can any advise whether Blackbaud CRM currently supports AI-driven analysis, scoring, tagging, or segmentation of constituent data? If so:
- What AI capabilities are available within Blackbaud CRM or the broader Blackbaud ecosystem?
- Can AI be used to automatically identify and apply constituent tags, attributes, or codes based on configurable criteria?
- Are there existing integrations with Microsoft Copilot, Power BI, Azure AI, or other AI platforms that support this type of analysis?
- What are the recommended approaches for using AI to identify prospects, lapsed donors, engagement opportunities, or other fundraising segments?
- Can AI-generated classifications or scores be written back to Blackbaud CRM, and if so, what methods are supported?
- Are there any customer examples, best practices, or roadmap items related to AI-driven constituent segmentation and tagging?
We are particularly interested in understanding both the current capabilities and future direction for using AI to enhance constituent management and fundraising effectiveness within our Blackbaud CRM.
Thanks in advance.
