Associations
AI/Analytics

8 essential AI tools for associations

Enhance member services and staff efficiency with artificial intelligence

Artificial Intelligence (AI) is transforming how associations operate and engage with members. Staying ahead of technological trends is no longer just an advantage – it‘s a necessity. As an association leader, you’re navigating how to enhance operations with tools like Salesforce Einstein, Chat GPT, and more.

The promise of AI is enticing: imagine personalized member experiences, data-driven decision-making, streamlining content creation and data analysis, and automated processes that free up your team to focus on strategic initiatives.

The solutions below offer practical ways to stay ahead using AI tools and explore real-world examples, showcasing how associations can leverage AI to overcome existing challenges and capitalize on AI assistance.

Large Language Models (LLMs)

LLMs are versatile AI systems that can understand and generate human-like text for various applications. LLMs also enable professional organizations to provide rapid, personalized responses to common member inquiries, significantly enhancing member service efficiency.

Medical societies can harness Large Language Models like ChatGPT to streamline the drafting of clinical guidelines, allowing experts to focus on review and refinement.

AI-powered Chatbots

AI chatbots offer 24/7 automated assistance, answering queries and guiding users through processes in real time. 

Engineering associations can revolutionize member support by implementing these chatbots on their websites. These bots can efficiently guide members through certification processes, answer queries about continuing education, and provide up-to-date information on upcoming events and workshops.

AI for data analysis and visualization

These tools process large datasets to uncover insights and present them in easily digestible visual formats. 

Trade groups can greatly benefit from AI-powered analytics tools. They can use them to dissect member engagement patterns across various events and programs, presenting visual data that informs strategic decisions for future event planning and member initiatives.

AI for data cleansing and deduplication

These systems automatically identify and correct errors, inconsistencies, and duplicates in databases. 

Alumni networks can employ AI-driven cleansing and deduplication tools to maintain accurate supporter contact information for fundraising campaigns and prevent redundant communications, thereby improving overall engagement efficiency.

AI-assisted content generation tools

These tools help create various types of content quickly, from social media posts to blog articles to email newsletters and more. 

Environmental nonprofits can leverage AI content generation tools by using them to create daily social media posts about climate change facts, eco-friendly tips, and upcoming awareness campaigns, maintaining a robust online presence without overburdening staff.

Task-specific AI tools

These are AI applications designed to perform specialized tasks within particular industries or domains. 

The restaurant industry can use task-specific AI tools to generate customizable, standardized operating procedures (SOPs) for food safety protocols or customer service training manuals, adaptable to various types of dining establishments.

AI-powered image generation tools

AI-powered image generation tools can help associations create engaging visuals for marketing materials. However, intellectual property concerns must be considered when using these tools.

AI for writing and checking code

AI-powered coding assistants can help associations develop and maintain their digital infrastructure more efficiently, even with limited IT resources. These tools can assist in writing code, detecting bugs, and suggesting optimizations for websites, member portals, or custom applications.

Salesforce AI Tools

  • Einstein Prediction Builder: Create predictive models without coding, useful for tasks like forecasting membership retention and other key metrics.
  • Einstein Discovery: Automate insights and recommendations to help users identify data patterns and make informed decisions without needing deep data science knowledge.
  • Einstein Analytics: Advanced analytics and AI enable associations to visualize data, uncover trends, and make data-driven decisions more effectively.
  • Einstein Recommendations: Provide personalized content suggestions based on user behavior and tailor communications and offerings to individual member preferences.
  • Einstein Case Classification: Automatically categorize and prioritize support cases to improve response times and ensure that members’ issues are addressed more efficiently.

Would you like to learn more about ethical AI implementation, new Salesforce Einstein features, and the effective use of large language models? Sign up to watch Leveraging AI in Salesforce and Beyond on demand.