
This blog in a nutshell
This blog is an extract from the 3 edition of our monthly newsletter for UK small and medium-sized charities.
This blog covers six proven, accessible ways to start applying AI right now. Part 2 next month will look at a further six examples focused on service delivery, compliance, and volunteer management.
What: Use AI to analyse past giving patterns and predict who is most likely to respond to your next appeal. Value: Focus effort and budget where it counts - more gifts, lower mailing costs. Proof: Parkinson’s UK used predictive modelling with "Wood for Trees" to uncover 8,500 new givers and raise an extra £485k, over £400k net gain! Quick win: Export your donor data from your CRM and test a simple predictive model on one campaign.
What: Add an AI chatbot to your website or donation page to answer routine questions (“How do I donate?”, “Can I volunteer?”) 24/7. Value: Reduces admin time and prevents drop-offs during donation or event sign-up. Proof: Chatbots on charity sites have been shown to improve conversion rates and free up staff hours. (Charity Digital, 2024) Quick win: Start with the top 10 FAQs; let the bot handle them, and hand off to staff for complex queries.
What: Use generative-AI tools to draft appeal letters, emails, and social media posts, then human-edit for tone and accuracy. Value: Cuts writing time, helps maintain consistent communications, and allows more frequent outreach. Proof: Charities using AI copy tools report significant time savings and higher engagement. (Charity Digital, 2024) Quick win: Try AI-drafted posts for one campaign and measure time saved plus response rate.
What: AI tools can scan thousands of funding databases and match opportunities to your charity’s aims, then help refine your application wording. Value: Saves staff hours and increases the quality and success rate of applications. Proof: Giant Digital (2024) highlights charities using AI to identify and tailor funding bids automatically. Quick win: Trial a grant-matching tool (like Grantfinder AI) and record number of relevant leads and accepted bids.
What: Use AI to analyse patterns in service usage (e.g., helpline calls, referrals, or seasonal peaks) and forecast future demand. Value: Helps you allocate staff and volunteers efficiently, avoid over- or under-resourcing, and demonstrate evidence-based planning to funders. Proof: Giant Digital case studies show forecasting tools reducing operational waste for charities with variable workloads. Quick win: Feed your last 12 months of service data into a simple forecasting tool; compare predictions with reality.
What: AI can flag donors whose giving or engagement is tailing off and trigger personalised follow-ups. Value: Retaining donors is far cheaper than acquiring new ones — boosting income stability. Proof: Parkinson’s UK used Greenhouse Intelligence’s models to identify and re-engage lapsed donors during COVID-19. Quick win: Sort donors by “months since last gift”, have AI score churn-risk, and send a tailored re-engagement email.