> For the complete documentation index, see [llms.txt](https://trust.impact.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://trust.impact.com/resources-and-faq.md).

# Resources & FAQ

Have questions? We have answers. Below are the questions we hear most often about AI at impact.com. For details on specific AI features, head to the Help Center.

## Frequently asked questions

<details>

<summary>What AI features does impact.com offer?</summary>

AI powers a growing set of capabilities across our platform, from the ask impact assistant to content generation and partner recommendations. For the full, current list, see [AI Features Explained](https://help.impact.com/other/reference-documentation/impact.com-ai-features-explained).

</details>

<details>

<summary>Which AI models and providers power your AI features?</summary>

**In-platform AI:** We combine third-party LLMs from Anthropic and Google (via Google Cloud Vertex AI) with impact.com's own machine-learning models.

**Impact MCP:** impact.com does not choose or host your model provider. Generative processing happens between your AI client and your chosen vendor, under your agreement with them.

</details>

<details>

<summary>Do you use my data to train AI models?</summary>

Today, your data is not used to train foundation models. Our providers are contractually prohibited from training their models on it, and where model improvement applies, you stay in control and can opt out. For MCP, we do not use your traffic to train models.

</details>

<details>

<summary>Where does my data go, and does the provider keep it?</summary>

Your data is processed within impact.com's secure cloud environment. Our AI providers process it only to deliver the feature, do not retain it for their own purposes, and do not use it to train their models. For MCP, tool results are returned to your client, and we do not send MCP data to LLM providers.

</details>

<details>

<summary>Is my data mixed with other customers' data?</summary>

No. AI features respect the same strict, user-based authorization as the rest of the platform. Your data is never commingled with, or accessible to, other customers.

</details>

<details>

<summary>Is personal information sent to the AI, and can it be anonymized?</summary>

We minimize personal information in AI processing and only include what's necessary.

</details>

<details>

<summary>Does the AI make automated decisions?</summary>

Our Recruitment Agent automates matchmaking to help you discover new partners most likely to be productive for your program using anonymized platform patterns. You can customize or disable this agent at any time. See [Recruitment Agent](https://help.impact.com/brand/what-would-you-like-to-learn-about/platform-features/review-partner-applications/recruitment-agent). ask impact, our chatbot, is a separate feature. It provides information, recommendations, and generated content that a person reviews and acts on.

</details>

<details>

<summary>How much human oversight is there?</summary>

We keep humans in-, on-, and off-the-loop, including manual audits of AI interactions and clear pathways to escalate to a person.

</details>

<details>

<summary>How do you make sure answers are accurate, reliable, and fair?</summary>

Through automated testing, user feedback, manual audits, and fairness testing. See [Accountability & Human Oversight](/accountability-and-human-oversight.md).

</details>

<details>

<summary>Can I tell when content was generated by AI?</summary>

Yes. AI interactions are clearly and persistently labeled, and AI-generated insights include citations back to source data where possible.

</details>

<details>

<summary>What protects against harmful or abusive AI content?</summary>

We apply advanced safety filtering to inputs and outputs from within our platform (including Google's Model Armor), backed by continuous monitoring and automated abuse protection.

</details>

<details>

<summary>What monitoring and alerting is in place?</summary>

In-platform AI features are covered by continuous monitoring, automated abuse protection, and alerting that feeds our security and reliability processes.

</details>

<details>

<summary>Can we turn AI capabilities off, or opt out?</summary>

Yes. AI features are always opt-out. MCP is opt-in, and your account remains in control.

</details>

<details>

<summary>What legal terms govern your use of third-party AI providers?</summary>

Our providers operate under enterprise agreements with contractual security, privacy, and data-use restrictions, aligned to their platform data governance (for example, Anthropic and Google on Google Cloud Vertex AI).

</details>

<details>

<summary>Are AI features covered by your certifications?</summary>

Yes. In-platform AI features are covered by the same platform certifications, including SOC 1 Type II and ISO 27001, and by our GDPR and CCPA compliance programs.

</details>

<details>

<summary>What is Impact MCP?</summary>

Impact MCP is a secure connector between your AI client (such as Claude, Cursor, or VS Code) and selected capabilities in your impact.com account. It returns tool results to your client. It is not an in-platform AI feature. Learn more at [Impact MCP](https://mcp.impact.com).

</details>

<details>

<summary>Where does my data go when I use MCP?</summary>

Tool results are returned to your AI client only. impact.com does not forward MCP data to LLM providers. If your client or model provider processes that data further, that is governed by your agreement with them.

</details>

## Have more questions?

If you cannot find an answer, contact [support](https://impact.com/contact/support/).

***

*This Trust Center is reviewed and updated as our AI capabilities and the regulatory landscape evolve.*


---

# 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://trust.impact.com/resources-and-faq.md?ask=<question>&goal=<endgoal>
```

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