This text is a part of a sponsored collection by Vertafore.
When you’ve evaluated new expertise not too long ago, you’ve seemingly observed how rapidly “AI-powered” capabilities develop into a part of the dialog.
From automated emails to workflow triggers to renewal reminders, many capabilities are grouped collectively. In apply, they serve totally different roles and are designed to deal with several types of work.
When automation and AI are handled interchangeably, groups both anticipate an excessive amount of from the instruments they have already got or miss alternatives to get extra worth from them. In an business the place effectivity, accuracy, and responsiveness immediately affect development, that misunderstanding can quietly maintain your company again.
Let’s make clear the distinction between AI and automation and the way they will work collectively.
Automation and AI serve totally different functions
A helpful method to consider AI and automation is, AI determines what must occur, and automation ensures it occurs persistently.
Automation: Guidelines-based execution inside your workflows
Automation is a rule-based execution. It follows a pre-defined instruction set. For instance, if X occurs then do Y. It’s triggered actions, scheduled processes, and structured, repeatable duties. Effectively-designed automation ensures consistency, reduces handbook effort, and retains workflows shifting.
Widespread examples embrace:
- Sending renewal reminders at set intervals
- Assigning leads based mostly on geography or producer
- Producing certificates of insurance coverage from present knowledge
- Routing service requests to the suitable group
- Automation doesn’t interpret; it executes. And that’s the place its energy lies.
AI instruments can interpret unstructured knowledge to affect decision-making
The Nationwide Institute of Requirements and Know-how (NIST) defines AI techniques as these that may make predictions or suggestions based mostly on knowledge to affect outcomes. AI is about decoding data and supporting choices, particularly when inputs should not completely structured. AI can perceive unstructured knowledge (like emails, paperwork, and notes), acknowledge patterns, generate summaries, and make suggestions.
Widespread examples embrace:
- Decoding an inbound e mail and figuring out the shopper’s request
- Extracting knowledge from loss runs or ACORD types
- Drafting shopper communications based mostly on account context
- Figuring out potential protection gaps or cross-sell alternatives
- The place automation brings consistency, AI brings adaptability.
How main businesses are utilizing automation and AI in concord
Many businesses nonetheless rely closely on rules-based workflows, at the same time as their techniques evolve to assist extra superior capabilities. That results in missed alternatives to enhance how work will get performed.
High businesses don’t select between automation and AI—they mix them deliberately.
If a course of is repeatable, predictable, and based mostly on clear guidelines, automation is the best software. For instance, renewal reminders needs to be automated as a result of a rules-based workflow will persistently deal with this extra reliably and effectively.
Automation works greatest when inputs are structured, however many company processes begin with emails, inconsistent paperwork, or shopper requests that require interpretation. In these instances, guidelines alone will fall brief, which is the place AI provides great worth.
Sensible use instances of AI and automation
Use case 1: Inbound e mail triage. AI interprets the e-mail’s intent (declare, endorsement, billing query, and many others.). Then, automation routes it to the best group and triggers the suitable workflow. This mixture leads to sooner response occasions, extra constant dealing with, and fewer handbook triage.
Use case 2: Coverage renewal course of. AI helps summarize coverage modifications, spotlight potential protection gaps, and assist extra personalised shopper outreach. Automation then ensures these insights are acted on by way of the suitable renewal workflows.
Use case 3: Doc consumption and knowledge entry. AI extracts related data from unstructured knowledge whereas automation strikes that knowledge into the suitable system fields. The result’s diminished handbook effort, improved accuracy, and sooner processing time.
The underside line
In case your group is spending time on handbook triage, slowed down by inconsistent inputs, struggling to maintain workflows shifting, the problem isn’t missing expertise—it’s how expertise is being utilized.
The businesses seeing essentially the most progress aren’t essentially changing their techniques; they’re studying the best way to get extra out of them.
Automation creates consistency. AI introduces adaptability. Used collectively, they enhance how your company operates with out requiring a whole rebuild.
Understanding the distinction between AI and automation is step one. The following is seeing how these capabilities are already being constructed into the techniques you employ each day.
See how Vertafore is bringing automation and AI collectively in actual company workflows by way of improvements like our Vertafore Velocity AI brokers.
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