How Independent Insurance Agents Can Actually Use AI

Stop Asking, “Which AI Tool Should We Use?”

A better question is: “What work in our agency could AI help us do better?”

Look for tasks that are repetitive, time-consuming, writing-heavy, research-heavy or document-heavy.

That could include:

• Preparing for renewals
• Researching prospects
• Drafting client emails
• Summarizing meetings and creating follow-up
• Building SOPs
• Creating marketing content
• Reviewing documents
• Analyzing spreadsheets

The goal is not to use AI everywhere. It is to find a few places where it can save time and improve the way work gets done.

5 Practical AI Uses for Insurance Agencies

1. Renewal Prep
   AI can organize account information, identify missing details and draft questions for the client.

2. Prospect Research
   AI can help producers research a business, identify potential exposures and prepare discovery questions.

3. Meeting Follow-Up
   Turn notes or transcripts into summaries, action items and follow-up emails.

4. SOP Creation
   Turn rough notes and existing processes into a first draft of a repeatable agency procedure.

5. Marketing
   Turn one idea into a blog, email, social post, video script and producer talking points.

These are the types of practical workflows emphasized in Catalyit’s AI Masterclass curriculum that starts October 6th.

One Rule to Remember

Automate the task—not the accountability.

AI can make mistakes. A human should review anything that affects clients, coverage, accuracy or important business decisions. Agencies should also establish clear rules about approved AI tools and what information employees can put into them.