Introduction

AutoRFP.ai introduces the Trust System, an innovative step towards enhancing response quality and trust in automation. This system categorizes AI-generated responses into various Trust Ranks, offering more confidence and efficiency in the review process.

Each response in your Project will now display one of the following Trust Ranks:

No Results Found:

Indicates no relevant response was found. AutoRFP.ai will display an icon and an empty response field for manual input. Use the response editor to craft a response.

Low Trust

Used when the AI finds a response but has low confidence in its accuracy.

High Trust

Signifies a response generated from highly similar sources, suggesting high reliability.

Near Match

Indicates a near-exact match (99%+) to the requirement, using a previous response verbatim.

Exact Match

Indicates an exact match to a previous requirement (100%).

Human Edited

Where a human has edited the response, the trust score will be hidden.

Approved by Human

Shows when a response is approved by a human, marking it as reliable.

Trust Scores can also be sorted so you can start with the most trustworthy responses to the least, or vice versa.

As your team approves answers, completes projects, and builds up your content library the goal is to see more and more near/exact matches and human approved answers in addition to generally higher trust scores.

The AI feedback feature will scan the response and give you a grade. If it deems there is room for improvement it will give you some context or suggestions on why the score is not higher than it is. You can see the feedback score in the bottom right corner of a response.

Use the Trust Scores and AI Feedback tool to help you write best in class responses. Every time you improve a response which gets approved, it further helps the response engine to produce higher trust scores and quality answers on the first attempt for future projects.