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How Thoughtly Uses AI Voice Agents to Handle FAQ
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How Thoughtly Uses AI Voice Agents to Handle FAQ

Will Del Principe
Will Del Principe
Growth @ Thoughtly
Blog Articles

Introduction

Inbound phone calls are still one of the most common ways customers look for quick answers. Questions about pricing, policies, and product details often come in high volume and require immediate responses. There is also meaningful overlap in the types of questions customers ask most frequently. For many teams, these repetitive FAQ calls consume time and resources that could be better spent on more complex customer needs.

Thoughtly helps teams handle inbound FAQ calls using AI voice agents that deliver instant, conversational answers, powered by curated, predetermined knowledge.


Why voice automation is a natural fit for FAQs

Not every customer interaction needs to be automated. It’s important to start with well-defined, predictable use cases, and FAQ calls consistently meet that bar. FAQ calls are generally:

  • High volume and repetitive 

  • Based on clearly documented information 

  • Time-sensitive for customers 

  • Low-risk when answers are pre-approved 

Because of this, answering common FAQs is one of the first workflows teams automate when implementing voice AI.

Replacing static FAQs with conversational answers

FAQs traditionally exist on web pages or in help centers. The onus is on customers to scan the list of questions, read through long expectations, or submit forms if their questions remain unanswered. Voice changes that experience. 

With Thoughtly, callers can simply ask questions like:

  • “What’s your return policy?”

  • “How long does implementation typically take?”

  • “How long do orders usually take to arrive?”

Instead of combing through static web content, callers receive immediate, natural-language answers. 

How Thoughtly’s Genius Knowledge Base helps power FAQ answers

At the core of Thoughtly’s FAQ handling is Genius, its knowledge system designed to ingest and organize your business’ existing documents and information. Genius can be populated with:

  • FAQ documents 

  • Content from your website 

  • Product and service details

  • Policy documentation 

Thoughtly analyzes and structures this knowledge so that its voice agents can retrieve the most relevant information during live calls. Importantly, answers are not improvised; they are provided based on your approved content. This ensures consistency and standardization of responses across your customer base. 

Structuring predefined FAQ answers

We recommend structuring your knowledge in a way that makes FAQ retrieval reliable and consistent. Best practices include:

  • Writing content in a clear, Q&A format

  • Keeping answers concise, specific, and up to date

  • Avoiding vague or broad language

  • Using consistent terminology across your knowledge base 

This structure enables Thoughtly’s voice agent to seamlessly match caller questions to the predefined answers more effectively. 

Keeping FAQ knowledge accurate and up to date over time 

Voice AI is not a “set it, and forget” system. It’s important that the documents Thoughtly references are maintained and updated over time. We encourage teams to:

  • Review call transcripts and logs 

  • Identify any new FAQ topics that should be incorporated

  • Update or clarify existing answers based on customer satisfaction 

  • Refine knowledge as products and policies evolve 

This continuous feedback loop helps ensure FAQ responses remain accurate and aligned with changes in your business.


Getting started with voice agents for FAQ

It’s important to remember that you can’t automate everything all at once. We recommend starting with a specific use case (like FAQ), testing it, and expanding over time. 

FAQs are a good place to start given they offer clear boundaries, predictable answers, and immediate operational relief. By pairing a conversational voice interface with curated knowledge, Thoughtly enables teams to deliver fast and accurate answers, while reserving human support for the interactions that matter most. 

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