Stop Paying Fraudulent Expense Claims

Docklands catches altered receipts, duplicate submissions, and fake expense claims before reimbursement - protecting your bottom line from employee expense fraud.

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Catch Gen-AI Reciepts

Photoshop Detection

Manual Edit Detection

Employee expenses fraud detection AI tool

100%

of expense receipts analyzed automatically

<20secs

to process any invoice

90+%

accuracy validated by finance teams

Your Expense Controls Have A Blind Spot

Manual spot checks and ERP three-way matching can't keep up with sophisticated invoice fraud tactics. The result? Millions in losses hiding in plain sight.

70%

of CFOs believe their employees are using AI to alter or manipulate expense receipts.

15%

of all fraudulent documents submitted in 2025 were AI-generated receipts and invoices (up from 0% in 2024).

35%

of employees surveyed admit to having submitted fraudulent expenses to their company.

Built for Expense Operations

Docklands fits into your existing workflow, working in tandem with your existing workflows.
No disruption, no rip-and-replace.

100% Receipt Coverage

Every submitted receipt is analyzed the moment it's uploaded. High-risk expenses are flagged instantly, low-risk expenses are fast-tracked for reimbursement. Average analysis time: <20 seconds per receipt. No manual review bottlenecks.

Centralized Fraud Queue

Your finance team gets a dashboard showing flagged receipts, fraud evidence, employee risk patterns, and savings metrics. Filter by employee, department, or fraud type. Every alert includes evidence and a risk score for faster decisions.

Deploy in Minutes

Docklands integrates directly with Concur, Expensify, Ramp, and Brex via REST API. Deploy in minutes, not months. No workflow changes required. Webhook support for real-time alerts.

Stop Paying Fraudulent Expense Claims

Your Expense Controls Have A Blind Spot

The Fraud We Catch

Hotel Receipts

Meals & Entertainment

Transportation & Mileage

Office Supplies

Built for Expense Operations

100% Receipt Coverage

Centralized Fraud Queue

Deploy in Minutes

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