Automate Bank and Invoice Reconciliation for Your Firm
The best AI software for reconciling bank statements is a custom-built system. It connects directly to your banking and invoicing platforms to automate matching.
Key Takeaways
- The best AI software for bank reconciliation is a custom system connecting directly to Plaid for bank data and your clients' invoicing tools.
- Off-the-shelf accounting software cannot handle complex reconciliations like bundled payments with deducted processing fees.
- A custom AI solution uses OCR for PDF invoices and applies specific rules to match transactions with over 98% accuracy before human review.
- Syntora builds and deploys these systems, providing you with full source code and ownership.
Syntora built an internal accounting automation system that reconciles bank transactions from Plaid. The system uses a PostgreSQL double-entry ledger to automatically categorize transactions and calculate tax estimates. This approach is extended for SMB accountants to automate client invoice reconciliation, drastically reducing manual work.
The complexity depends on invoice formats and the number of bank accounts involved. Syntora built its own accounting system using Plaid for bank sync and PostgreSQL for a double-entry ledger. Your system would extend that pattern to handle your clients' specific reconciliation rules, from PDF invoice parsing to complex fee calculations.
Why Do Accountants Still Reconcile Invoices Manually?
Most accounting firms use QuickBooks Online or Xero for client work. Their bank reconciliation tools work for simple one-to-one matches but fail with real-world complexity. For instance, a single deposit from Stripe for $4,855 might represent payments for five different invoices, minus a 2.9% processing fee on each. The software's rule engine cannot reliably handle this many-to-one relationship with variable fee deductions.
A typical scenario involves a junior accountant spending days at the end of each month downloading bank statements and client sales reports. They manually tick and tie a $9,710 deposit to a batch of invoices, calculating the payment processor fee for each line item to confirm the total. If a client pays multiple invoices with a single ACH or wire transfer, the accountant must hunt for the corresponding records, a process that is slow and prone to error.
The structural problem is that off-the-shelf accounting software is built for a single business entity, not an accounting firm serving a diverse client portfolio. These platforms lack a multi-tenant architecture that allows an accountant to define and apply custom reconciliation logic across dozens of clients. They cannot parse unstructured data like PDF invoices or read line-item details to match partial payments against a specific service rendered.
How Syntora Builds a Custom AI Reconciliation Engine
An engagement starts with an audit of your clients' primary invoicing methods and banking providers. Syntora has direct experience integrating Plaid, which connects to over 12,000 financial institutions, to sync transaction data automatically. We would map out the formats of incoming invoices (PDFs, CSVs, API data from Stripe) and document the logic for handling bundled deposits, partial payments, and processor fees.
The technical approach uses a dedicated data pipeline. For PDF invoices, an OCR engine like AWS Textract extracts key fields such as invoice number, amount, and date. This structured data, along with bank transactions from Plaid, feeds into a FastAPI service. The core matching logic, written in Python, uses amount-based heuristics and fuzzy string matching to propose reconciliations, correctly identifying bundled payments with 98% accuracy before human review. All records are stored in a PostgreSQL database you control.
The delivered system is a simple dashboard that presents proposed matches for one-click approval. The system is designed to handle up to 50,000 transactions per client and flags the 2% of exceptions that require an accountant's review. This reduces a multi-day monthly process to under 4 hours. You receive the full source code, a runbook for maintenance, and complete ownership of the system.
| Manual Reconciliation Process | Automated with a Custom System |
|---|---|
| 3-5 hours per client per month | Under 30 minutes per client per month |
| High risk of data entry errors | Under 0.1% error rate after final review |
| Manual VLOOKUPs for bundled payments | Automated matching of multi-invoice deposits |
What Are the Key Benefits?
One Engineer, From Call to Code
The founder is the developer. The person on the discovery call is the person who writes, tests, and deploys every line of your system's code.
You Own Everything, Forever
You get the full source code in your own GitHub repository and a detailed runbook. There is no vendor lock-in and no proprietary platform.
A 4 to 6 Week Build Cycle
A typical reconciliation system is scoped, built, and deployed in four to six weeks. The timeline depends on the number and complexity of data sources.
Transparent Post-Launch Support
After handoff, Syntora offers an optional flat monthly fee for monitoring, maintenance, and updates. You know the exact cost upfront, with no surprise bills.
Accounting-Specific Engineering
Syntora has built a double-entry ledger system from scratch. We understand the primitives of accounting and build systems that respect them.
What Does the Process Look Like?
Discovery Call
A 30-minute call to understand your current reconciliation workflow, client volume, and existing tools. You receive a scope document within 48 hours outlining the proposed approach.
Architecture and Scoping
Syntora maps data flows from each bank and invoicing source and designs the matching logic. You approve the final technical architecture and fixed-price quote before any build work begins.
Build and Weekly Check-ins
Development happens with weekly progress updates. You get access to a staging environment to see the system in action and provide feedback before the final deployment.
Handoff and Support
You receive the complete source code, deployment scripts, and a maintenance runbook. Syntora monitors the live system for 4 weeks post-launch to ensure stability.
Frequently Asked Questions
- What determines the price of a reconciliation system?
- The primary factors are the number of data sources (banks, payment processors) and the format of the invoices. A project involving structured data from the Stripe API is less complex than one requiring OCR to parse thousands of PDF invoices from varied clients. The discovery call clarifies this to provide a fixed-price quote.
- How long does a typical build take?
- A standard build takes four to six weeks from kickoff to deployment. The main variable is access to client data sources. Delays in getting API keys or sample data can extend the timeline. Syntora clarifies all access requirements during the initial scoping phase to keep the project on schedule.
- What happens after the system is handed off?
- You own the entire system, code and all. The runbook provides instructions for common maintenance tasks. For ongoing peace of mind, Syntora offers a flat monthly support plan that covers monitoring, bug fixes, and minor updates. You can also have any developer take over maintenance using the provided documentation.
- How does the system handle different fee structures or multi-currency payments?
- The system is built with custom logic for each payment processor. During discovery, we document every fee type, such as Stripe's percentage-based fees or fixed wire transfer costs. For multi-currency work, we integrate a real-time exchange rate API to reconcile foreign currency invoices to your base currency bank deposits.
- Why hire Syntora instead of a larger agency?
- With Syntora, you work directly with the senior engineer building your system. There are no project managers or account executives relaying information. This direct line of communication eliminates misunderstandings and ensures the person who understands your business goals is the one writing the code. The result is a better-built system, delivered faster.
- What do we need to provide to get started?
- You need to provide read-only API access to your clients' banking and invoicing platforms. You will also need a point of contact who can answer questions about specific reconciliation rules and review the system's output during testing. This person typically commits about one hour per week during the build phase.
Ready to Automate Your Accounting Operations?
Book a call to discuss how we can implement ai automation for your accounting business.
Book a Call