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Confidential (audit firm) · Audit and compliance

AI compliance agent generating clause-level tracked-change findings.

Private deployment, client project

Category

AI

Year

2025

Capabilities

AI, Cloud & Automation

Industry

Audit and compliance

Compliance Review Agent on a laptop
Compliance Review Agent on a phone

The problem

Manual compliance and audit reviews against established standards were slow and inconsistent between reviewers, with each report taking about a week to complete.

Our approach

We built an agent that checks uploaded reports against an established standards dataset, then generates a findings report with clause-level tracked changes and AI-written comments explaining every flagged issue.

Inside the product

More than one screen.

3 more screens from Compliance Review Agent, captured at device size.

Compliance Review Agent: Review queue on a laptop

Review queue

Documents split into clauses and checked against the selected standards.

Compliance Review Agent: Findings report on a laptop

Findings report

Findings by severity, exported as tracked changes and margin comments.

Compliance Review Agent: Standards library on a laptop

Standards library

The paragraphs every finding cites, with the firm’s own guidance alongside.

On the phone

Compliance Review Agent: Home on a phone

Home

Compliance Review Agent: Review queue on a phone

Review queue

Compliance Review Agent: Findings report on a phone

Findings report

Compliance Review Agent: Standards library on a phone

Standards library

How it is built

Architecture

A Python and FastAPI backend deployed on AWS handles report ingestion and comparison against the standards dataset. Claude powers the review and comment generation, returning findings tied to individual clauses for a traceable review workflow.

Key features

Report upload and comparison against a standards dataset
Clause-level tracked-change findings
AI-generated comments for every finding
Consistent, repeatable review logic across reports

Challenges & solutions

Challenge

Broad AI feedback was not precise enough for reviewers who needed to see exactly which clause triggered a finding.

Solution

Grounded each check in the standards dataset and returned findings as clause-level tracked changes with an explanation attached.

Challenge

Reviewer judgement varied between reports, making outcomes difficult to compare and slowing final sign-off.

Solution

Encoded the review as one repeatable agent workflow so every report is evaluated against the same standards and output structure.

Results

What shipping it changed.

Reviews that took a week now take half that, and every finding cites the clause and the standard behind it. Reviewers spend their time on judgement calls instead of hunting for the paragraph that triggered an issue.

“We were sceptical about AI in audit work. They showed their reasoning at every step, started with a small pilot and expanded only when our reviewers were satisfied. Careful, professional, easy to work with.”
Head of quality · Audit firm
01

2x

faster document review

Turnaround on a compliance report fell from about a week to roughly half.

02

100%

of findings tied to a clause

Each one arrives as a tracked change with the standard it cites and a written explanation.

03

1

review standard for every report

The same agent workflow evaluates every document, so results are consistent between reviewers and comparable across reports.

Let's talk

We can usually tell within one call whether the approach above transfers to your problem, and what would need to change.

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