Trust but Verify:
AI Evidence Review Checklist

A practical review framework for Finance, Audit, and Compliance Teams.
Generative AI is making digital records easier to create and harder to judge by appearance alone. This checklist gives professionals a structured way to assess evidence before relying on it.
Originally prepared for the Annual Joint Fraud & Ethics Conference, September 17, 2026.

6

Review Steps

7+

Evidence Types Covered

1

Reviewer Decision Record

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What You'll Get

A Practical Resource You Can Put to Work

Purpose-built for professionals who cannot afford to accept evidence at face value.
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Conference Resource

Downloadable field guide
Get the Checklist

Evidence-Specific Verification Paths

Guidance covering invoices, payment screenshots, supplier banking changes, procurement quotes, voice approvals, audit schedules, and KYC documents.

Red Flags and Escalation Signals

Practical indicators that should trigger additional scrutiny.

Immediate Organizational Controls

Actions across finance, audit, procurement, operations, compliance, and technology.

Reviewer Decision Record

A fillable review record for documenting verification, exceptions, escalation, and the final decision.

The Framework

Trust Should Be Established, Not Assumed

The Trust but Verify Framework provides a structured pathway for determining whether evidence can reasonably support a business decision.

Start

Evidence Enters

Outcome

Verified
Escalate

Step 01

Source

Where did it originate?

01

Step 02

Integrity

Has it been altered or generated?

02

Step 03

Authority

Who submitted or approved it?

03

Step 01

Context

Does it match the business reality?

04

Step 05

Confirmation

Can it be verified independently?

05

Step 06

Documentation

Can we show how trust was established?

06

Who It's For

Built for Professionals Who Make Decisions From Evidence

Finance and Accounting
Audit
Fraud and Investigations
Compliance and Risk
Procurement
Business and Operations Leadership

Author

C. Stephan Brown

Founder & CEO, CSB Tech Emporium

About the Author

A Practical Resource You Can Put to Work

C. Stephan Brown is a Bahamian technology strategist, entrepreneur, author, educator, and Founder and CEO of CSB Tech Emporium. He helps organizations modernize through e-commerce, business systems, automation, AI-assisted services, and digital transformation.

He is the author of Cracking the E-Commerce Code: The Bahamas and teaches e-commerce through BTVI's DigiLearn Program. His work focuses on building practical systems that improve operations, decision-making, and long-term growth.
Learn More About CSB Tech
Beyond the Checklist

What Would This Review Reveal About Your Own Workflows?

AI-generated evidence is only part of the challenge. Weak approval paths, manual processes, fragmented systems, and informal verification can create risk long before AI enters the picture.

If your organization is reviewing how its technology, approvals, workflows, or controls should evolve, an Introductory Strategy Call can help identify where to start.
Book an Introductory Strategy Call
30-minute conversation. No obligation. Understated, direct, and focused on your context.
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