Source: https://atomic-works-test.docs-staging.pageloop.ai/monitoring/dashboard-actions/ai-powered-evidence-gap-analysis
# Ai Powered Evidence Gap Analysis
---
description: >-
Use Sprinto AI to automatically validate your uploaded evidence for relevance,
scope, and timeliness before audit submission.
---
# AI Powered Evidence Gap Analysis
**Evidence Gap Analysis** helps you quickly validate whether the evidence you’ve uploaded for a workflow check is **relevant, complete, and audit-ready**.\
Instead of manually reviewing each file, Sprinto AI analyses your submission and flags gaps such as outdated timestamps or irrelevant screenshots — allowing you to correct them before audit time.
You can use this feature both while **uploading evidence** and during **evidence review**, ensuring higher accuracy and fewer last-minute corrections.
***
### How to Use
#### 1. Access the Check
1. Log in to the **Sprinto Dashboard**.
2. From the left navigation pane, select **Monitoring**.
3. Under either **Active Checks** or **Available Checks**, locate the workflow check for which you want to validate evidence.
4. Click the check name to open the check details drawer.
***
#### 2. Upload Evidence
1. In the check drawer, click **Upload evidence**.
2. You can attach a **file** (image, PDF, Word, etc.) or a **link** as your proof.
3. Once uploaded, scroll down to the **Evidence Gap Analysis** section at the bottom of the drawer.
***
#### 3. Run Evidence Gap Analysis
1. Click **Analyze** under _Evidence gap analysis_.
2. Sprinto AI begins evaluating the uploaded file across the following parameters:
* **Relevance** – whether the evidence matches the intent of the check.
* **Scope Coverage** – whether all required elements or configurations are shown.
* **Date Validity** – whether the evidence falls within the audit review period.
You’ll see a progress status indicating evaluation stages such as _Evaluating relevance_, _Assessing scope coverage_, and _Verifying date validity_.
***
#### 4. View the Analysis Report
After evaluation, the AI report displays three result blocks:
* **Good to Go (Green)** – Evidence meets the compliance intent (e.g., relevance and scope are valid).
* **Needs Fix (Red)** – Evidence requires correction (e.g., missing timestamp or irrelevant content).
* Each block includes a brief reason for the result and a suggestion on how to fix the issue.
{% hint style="info" %}
**Example**
\
“Date Validity — This evidence is expected to fall within a specific review window, but a timestamp is currently missing. To avoid back-and-forth during audits, upload a version with a valid timestamp.”
{% endhint %}
If changes are made to the uploaded files, click **Re-analyze** to refresh the validation.
***
#### 5. Save and Proceed
* Once you’ve reviewed the AI results, click **Save**.
* You can then click **Review Evidence** to continue the submission workflow and verify if the check is now passing.
***
### Reviewer Flow
Evidence reviewers can use the same AI analysis while reviewing submissions:
1. Open the relevant workflow check from **Monitoring**.
2. Click **Review evidence** to open the review drawer.
3. Under **Evidence Gap Analysis**, click **Analyze**.
4. Sprinto AI evaluates the evidence just like in the submitter flow.
5. Once results are shown, you can:
* Approve the evidence
* Mark as special case
* Reject evidence and add comments
{% hint style="info" %}
**Notes**
* Sprinto AI supports image, PDF, Word, Excel, and CSV formats.
* The AI-generated analysis is not shared with auditors and serves only as an internal validation tool.
* You can re-analyse evidence anytime after editing or replacing files.
{% endhint %}
