Setting Up Automated Scanning Workflows

Understanding Your Scanning Setup

Before you start configuring automation, you'll want to think about your current process. Most teams we've worked with have receipts coming in from multiple sources — expense reports, email attachments, physical documents, even photos from mobile phones. The challenge isn't capturing them. It's getting them into a system where they're actually useful.

Automated scanning workflows handle the tedious parts. Once you've set rules and connected your tools, the system does the repetitive work — scanning documents, extracting key data like vendor names and amounts, and sorting them into categories. You're not managing individual receipts anymore. You're managing a process.

• Identify all entry points where receipts arrive in your organization
• Document how receipts currently move through your team
• Note which fields matter most for your categorization (vendor, amount, date, department)
• Determine who needs access to scanned receipts and at what stage

Configuring Your Rules and Triggers

This is where the automation actually happens. You're creating rules that tell the system what to do with different types of receipts. Most platforms let you set triggers based on vendor names, amount ranges, or document type. Once triggered, the system automatically extracts data and assigns it to the right category.

Here's what we recommend starting with: Create about 8 to 12 core categories that cover 80% of your expenses. Don't overthink this. You can always refine categories later. Common ones include meals and entertainment, office supplies, travel, utilities, professional services, and software subscriptions. Once you've got your categories, you'll set rules for how documents get routed.

Data Extraction and Accuracy

Modern scanning systems use optical character recognition — OCR — to read document text. It's pretty reliable for standard receipts, but it's not perfect. Faded receipts, handwritten notes, unusual formatting, and thermal paper that's aged can cause issues. That's why we always recommend keeping human review in the loop, at least initially.

You'll want to set confidence thresholds. If the system is 95% certain about extracted data, it proceeds automatically. If it's below your threshold — say 80% — it flags the receipt for manual review. This hybrid approach catches errors without grinding the whole process to a halt. Most teams find that after 2-3 weeks of use, they understand the system's strengths and weaknesses and can adjust thresholds accordingly.

Don't aim for 100% accuracy on day one. Aim for 85-90% automation with manual review on flagged items. That's realistic and sustainable.

Testing Before Full Rollout

You're going to want a pilot period. Don't set up automation across your entire receipt workflow and flip the switch. Instead, test with a smaller set — maybe one department or one week's worth of expenses. Run the automated system in parallel with your current process for 2-3 weeks. Compare results. See where the system struggles.

During this pilot, you'll notice patterns. Maybe the system handles vendor-specific receipts really well but struggles with handwritten expense notes. Maybe certain document types need pre-processing. These insights let you refine rules before rolling out to the whole organization. You're also training your team on how the system works, which makes the actual rollout smoother.

Keep a simple spreadsheet during the pilot: receipt type, what the system extracted, what the correct data should be, and whether manual review caught the error. This gives you concrete feedback to make adjustments.