AI Automation
AI tools like ChatGPT and Claude are useful for one-off tasks—drafting an email, summarizing a report. Connecting AI to your workflows unlocks vast possibilities.
What Is Automation?
Automation means making repetitive tasks happen without manual effort. AI automation takes this further by adding systems that can interpret, decide, and adapt rather than just follow exact rules.
Traditional Automation vs AI Automation
Traditional automation follows rules you define. "When someone donates over $100, send the large-donor thank-you email." It works, but it breaks when situations don't match your rules exactly.
AI automation can interpret and respond to varied inputs. "Read this supporter email and draft an appropriate response based on their questions." It handles variation and ambiguity that would require human judgment in traditional systems.
Types of AI You'll Use in Automation
Most repetitive workflows can be automated. From donor communications to report generation to generating social media posts from your blog content.
Generative AI creates content—drafting emails, writing social posts, summarizing research. Automation lets you trigger these capabilities automatically without going through the chat interface.
Agentic AI enables workflows that monitor, decide, and act without human prompts. For example: an agent that tracks legislative databases, identifies new bills affecting animals, assesses their potential impact, and alerts your policy team with a summary and recommended action. These multi-step autonomous systems are more complex to set up, but platforms like n8n are making them increasingly accessible.
Open Paws maintains an n8n library of open source workflows for animal advocates, an open-source automation platform.
Here are two resources to get started with n8n:
Human-in-the-loop
Not everything should be automated. Human-in-the-loop means designing automation so humans review, approve, or intervene at critical points. When building automations, consider when human review is beneficial, e.g. for:
Strategic messaging, especially in relation to timing, tone, and political context.
Major (donor) relationships. AI is not suited to replace human connections.
Anything involving verification. As covered in How AI Works, AI can hallucinate facts. Automated content that includes statistics, citations, or factual claims needs human review before publication.
The principle is simple: automate the repetitive parts, keep humans on the decisions that matter.
AI automation won't replace the relationships, strategy, and moral clarity at the heart of effective advocacy. But it can handle the repetitive work that drains your time and energy—freeing you to focus on the work that only humans can do.