> For the complete documentation index, see [llms.txt](https://docs.sprinthub.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sprinthub.com/en/topics/artificial-intelligence/ai-agents/legacy-ai-agents-notice/strategies/ask-ai-a-condition-that-can-change-the-direction-of-your-support.md).

# Ask AI - A condition that can change the direction of your support

<figure><img src="https://684109703-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9FzUKkagBNy5uQ7AtGNa%2Fuploads%2Fe2Q5seX8SI42iY0qSVk2%2Fundraw_Connected_re_lmq2.png?alt=media&amp;token=6d85cad4-89ec-4097-abfd-88ebf333bfb7" alt=""><figcaption></figcaption></figure>

The "Ask AI" feature in SprintHub is a powerful tool for optimizing support in CRM and SAC 360º. With it, you can use artificial intelligence to analyze interactions with leads and customers, enabling automatic decision-making based on the context of the conversation. In this article, we will explore how to configure and use this feature in both CRM and SAC, highlighting its particularities.

***

#### **How Does the "Ask AI" Condition Work?**

The "Ask AI" condition allows a question to be sent to the artificial intelligence (AI) model, which will return an answer of the type "Yes" (True) or "No" (False). Based on this response, the system will perform previously configured actions.

<figure><img src="https://684109703-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9FzUKkagBNy5uQ7AtGNa%2Fuploads%2FBTVnSANrT0wQhW4TYmdU%2Fimage.png?alt=media&amp;token=dbb117b2-0383-4a72-970d-b98ef00d0bf8" alt=""><figcaption></figcaption></figure>

* **Practical Example in the chatbot:** You can configure a question such as **"Does the customer want to close the contract?"**.
  * If the AI responds **"Yes"**, the system can:
    * Change send a notification to the salesperson to continue the service.
    * Trigger an automation to send a proposal.
  * If the AI responds **"No"**, the action performed will be to continue the service with ChatGPT.

<figure><img src="https://684109703-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9FzUKkagBNy5uQ7AtGNa%2Fuploads%2FLmaQgOFM8vUgaiXrAVNP%2Fimage.png?alt=media&amp;token=64599316-b9de-4102-921e-efb43196f69a" alt=""><figcaption></figcaption></figure>

<figure><img src="https://684109703-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9FzUKkagBNy5uQ7AtGNa%2Fuploads%2F6PI4k60b3mUzUo9LsMa9%2Fimage.png?alt=media&amp;token=3e404b0d-c227-47e0-9c6e-e75584a94de3" alt=""><figcaption></figcaption></figure>

* **SAC and CRM Example:** In SAC 360º, the logic is simplified: only positive actions are considered.
  * Example: Ask **"Is the customer satisfied with the service?"**. If the answer is **"Yes"**, the condition can:
    * Automatically close the service.
    * Request feedback from the customer.

#### **Differences between CRM and SAC 360º**

* **Chatbot: Positive and Negative Responses**\
  In the Chatbot, conditions can trigger actions for both "Yes" and "No" responses. This allows greater flexibility in sales strategies and lead follow-up.
* **SAC 360º and CRM: Positive Responses Only**\
  In SAC and CRM, only the positive output is considered. This simplifies the process and ensures that actions are performed only when the AI analysis returns a favorable result, such as resolving the service request or escalating to a human consultant.

***

#### **Real Use Cases**

**1. Chatbot – Lead Qualification**

* **Question:** "Is the lead qualified to receive an offer?"
* **Positive Action:** Move the lead forward in the sales funnel by sending an email with the offer.
* **Negative Action:** Mark the lead as "Follow-up" and create a task for the sales team.

<figure><img src="https://684109703-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9FzUKkagBNy5uQ7AtGNa%2Fuploads%2FTTT9lKyibEkydvq8kZPk%2Fimage.png?alt=media&amp;token=86969c4c-e34a-4cbd-8031-3d1144177ff1" alt=""><figcaption></figcaption></figure>

**2. SAC 360º and CRM – Closing Service Cases**

* **Question:** "Did the customer confirm that the issue was resolved?"
* **Positive Action:** Send a thank-you message and request a service rating.

<figure><img src="https://684109703-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9FzUKkagBNy5uQ7AtGNa%2Fuploads%2FG4qpAuEobGD20dm17Mvl%2Fimage.png?alt=media&amp;token=9262620a-fea6-4ae1-aa2b-da4d9bea1f89" alt=""><figcaption></figcaption></figure>

***

#### **Best Practices for Using the "Ask AI" Condition**

1. **Formulate Direct Questions:** Avoid complex questions or questions with multiple interpretations.
2. **Test Scenarios:** Before activating the conditions in production, run tests to validate the behavior of the actions.
3. **Monitor the Results:** Monitor support cases and leads to verify whether the AI responses are aligned with expectations.

***

#### **Benefits of the "Ask AI" Condition**

* **Intelligent Automation:** Reduces the need for human intervention in repetitive decisions.
* **Agility in Service:** Allows faster and more personalized responses for leads and customers.
* **Resource Optimization:** Directs efforts to real opportunities, increasing team efficiency.

***

#### **Conclusion**

The "Ask AI" feature is an indispensable resource for companies that want to scale their support and sales processes. With simple and flexible configurations, it integrates artificial intelligence into the workflow, ensuring faster and more accurate decisions. Try implementing this feature in SprintHub and transform the way you interact with your customers!


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.sprinthub.com/en/topics/artificial-intelligence/ai-agents/legacy-ai-agents-notice/strategies/ask-ai-a-condition-that-can-change-the-direction-of-your-support.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.