Automate Your Accounts Payable with Custom AI
AI automates invoice processing by extracting data like vendor, amount, and due date from PDFs. The system then creates a draft bill in your accounting software for one-click approval.
Key Takeaways
- AI automates invoice processing by extracting data from PDFs and creating draft bills in your accounting software.
- A custom system connects directly to your email, watches for new invoices, and classifies them against your chart of accounts.
- Syntora has built financial systems with Plaid and Stripe for automated ledger entries and transaction categorization.
- The process can reduce manual data entry time from 5 minutes per invoice to under 10 seconds.
Syntora builds custom financial automation systems for small businesses. Syntora developed a system using Plaid and Stripe that automated transaction categorization and ledger entries into a PostgreSQL database. The bank sync processing time was under 3 seconds per account.
The scope depends on invoice variety and your accounting software. For a business using QuickBooks with 10 to 15 standard vendor formats, this is a straightforward build. Processing invoices from hundreds of vendors with varied layouts requires a more advanced data extraction model.
The Problem
Why Does Manual Invoice Processing Still Plague Small Finance Teams?
Most small businesses start with QuickBooks Online's receipt capture or tools like Dext. These tools work for simple receipts but falter on multi-page invoices with line items. Their optical character recognition (OCR) often misreads dates, confuses tax amounts with subtotals, or fails to capture line-item details, forcing manual correction on every entry.
Consider a 15-person service business that receives 200 vendor invoices per month via email. An administrator spends hours downloading PDFs, manually keying data into QuickBooks, and attaching the source file. When an invoice for a specific project arrives, they must manually code each line item to the correct General Ledger account and project code. This process is slow and a single data entry error can impact financial reporting for months.
The structural problem is that off-the-shelf tools use generic, pre-trained models. They are not tuned to your specific vendors or your chart of accounts. They cannot learn that an invoice from "AWS" should always be coded to "Cloud Hosting" or that an invoice from a specific supplier needs to be split between two expense accounts. They lack the custom business logic that your accounts payable process requires.
Our Approach
How Syntora Builds a Custom AI Invoice Processing System
The first step is a discovery process where Syntora reviews 3-6 months of your past invoices to understand vendor formats and your GL coding rules. We connect to your accounting system (like QuickBooks or Xero) via its API to pull your existing chart of accounts and vendor list. This audit determines the exact data fields that need extraction and the logic for accurate coding.
A Python service on AWS Lambda would monitor a dedicated email inbox for new invoices. The system uses the Claude API for intelligent data extraction, which is more accurate than traditional OCR for varied formats and costs less than $0.02 per invoice. A FastAPI endpoint manages the workflow, routing extracted data to a Supabase PostgreSQL database for logging before creating a draft bill in your accounting system.
The delivered system runs entirely in the background. When an invoice email arrives, a draft bill with the correct coding and attached PDF appears in your accounting software within 60 seconds. You receive a daily summary of all processed invoices via Slack or email. You own the complete source code and a runbook, ensuring you control the entire process without vendor lock-in.
| Manual Invoice Data Entry | Syntora's Automated System |
|---|---|
| Time per Invoice | 3-5 minutes of manual keying |
| Error Rate | Up to 5% due to human error |
| Process Visibility | Depends on email folders and spreadsheets |
Why It Matters
Key Benefits
One Engineer, Direct Communication
The founder who scopes your project is the same engineer who writes the code. No project managers, no communication gaps, no offshore teams.
You Own All the Code
You receive the full Python source code in your own GitHub repository, plus a runbook for maintenance. There is no vendor lock-in.
A Realistic 2-Week Build
For a standard QuickBooks or Xero integration with up to 20 common vendor formats, a production-ready system can be delivered in two weeks.
Transparent Post-Launch Support
After handoff, Syntora offers a flat monthly support plan for monitoring, updates, and adding new vendor logic. You know the costs upfront.
Deep Financial Tech Experience
Syntora has built production systems connecting Plaid, Stripe, and PostgreSQL ledgers for automated categorization. We understand financial data integrity.
How We Deliver
The Process
Discovery Call
A 30-minute call to understand your current AP process, invoice volume, and accounting software. You receive a scope document within 48 hours with a fixed project price.
Access and Architecture
You grant read-only access to your accounting system and provide sample invoices. Syntora presents the technical architecture and data extraction plan for your approval.
Build and Validate
You get access to a shared Slack channel for updates. Syntora builds the system and you validate the extracted data against a test set of your invoices before going live.
Handoff and Training
You receive the source code, a runbook for operations, and a brief training session on the monitoring dashboard. Syntora monitors the system for 4 weeks post-launch.
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The Syntora Advantage
Not all AI partners are built the same.
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
Syntora
Fully private systems. Your data never leaves your environment
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May require new software purchases or migrations
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Zero disruption to your existing tools and workflows
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Training and ongoing support are usually extra
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Full training included. Your team hits the ground running from day one
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Code and data often stay on the vendor's platform
Syntora
You own everything we build. The systems, the data, all of it. No lock-in
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