How Automated Classification Replaced Manual Evidence-Gathering

The Challenge

For Kestrel Labs, preparing for audits had become a time-consuming operational exercise.

The organization relied heavily on a small team to manually locate, review, classify, and organize evidence required for audits. Information was spread across multiple systems, documents, repositories, and business workflows, making it difficult to establish a complete and reliable evidence trail.

What should have been a structured audit process had become a recurring six-week project.

A team of three employees was spending significant time on activities such as:

• Searching for relevant documents and records
• Identifying evidence required for specific controls
• Reviewing information manually
• Classifying evidence
• Checking whether documentation was complete
• Following up on missing or unclear information
• Preparing evidence packages for auditors

The process worked, but it was difficult to scale and created a significant operational burden every time an audit approached.

The Objective

Kestrel Labs needed a way to reduce the manual effort involved in audit preparation without sacrificing evidence quality or control.

The goal was straightforward:

Make audit evidence easier to find, classify, validate, and organize—without requiring a dedicated team to perform the same manual process every audit cycle.

The Approach

Kestrel Labs introduced automated classification to transform the way audit evidence was identified and prepared.

Instead of relying on employees to manually search through information repositories, the classification process automatically identified relevant information and categorized it according to the organization’s audit and compliance requirements.

The workflow became:

Discover → Classify → Validate → Map → Prepare Evidence

Automated classification handled the repetitive identification and categorization work, while human reviewers focused on exceptions, validation, and higher-value decisions.

This changed the role of the audit team from searching for evidence to reviewing evidence that had already been identified and organized.

From Manual Search to Automated Discovery

Previously, audit preparation required the team to know where evidence was likely to exist and manually retrieve it.

With automated classification, relevant information could be identified based on its characteristics, context, and relationship to specific requirements.