Automate Your Firm's Core Accounting Tasks
Artificial intelligence can automate transaction categorization, reconciliation, and tax estimate calculations for mid-sized firms. It also automates journal entries and monthly close workflows directly from your bank data.
Key Takeaways
- Artificial intelligence automates accounting tasks like transaction categorization, tax estimates, and journal entries for mid-sized firms.
- Custom systems connect directly to bank feeds via Plaid and payment processors like Stripe.
- Syntora built an internal system that processed thousands of transactions with a 12-tab admin dashboard for full ledger visibility.
Syntora built a custom accounting automation system that integrated Plaid and Stripe for its own operations. The system automatically created journal entries in a PostgreSQL double-entry ledger. This internal tool reduced monthly bookkeeping time from over 10 hours to under 30 minutes of review.
The complexity of an automation project depends on your data sources. A business using Stripe and a single bank account is a straightforward build. Syntora's own internal accounting system integrated Plaid for bank sync and Stripe for payments. The system handled automated categorization, journal entries, and quarterly tax estimates, proving the model on real-world transaction data.
Why Do Accounting Teams at Mid-Sized Firms Still Reconcile Spreadsheets?
Most mid-sized firms start with QuickBooks Online or Xero. Their bank rule engines are effective for simple, one-to-one transactions. The problem arises when a single bank deposit represents multiple revenue streams. For a firm with project-based revenue, a single Stripe payout might contain revenue for three different projects, a refund for another, and processing fees. QuickBooks rules cannot split that one transaction into five corresponding journal entries.
Here is a common failure scenario: a 25-person digital agency receives a $10,500 deposit from Stripe. The bookkeeper must log into Stripe, find the payout report, and see it contains payments for Project A ($5,000), Project B ($6,000), and a refund for Project C (-$500). They then manually create three separate journal entries in Xero, debiting cash and crediting the correct revenue accounts. This takes 15 minutes per payout and happens 4-5 times per week, introducing errors and consuming valuable time.
The structural problem is that off-the-shelf tools are built for one-to-one transaction matching. Their architecture assumes one bank line item equals one ledger entry. They are not designed for the complex one-to-many relationships common in businesses that use payment aggregators like Stripe or Shopify. The data models are fixed, preventing the custom logic needed to parse payout reports and generate multiple, correctly categorized journal entries from a single deposit.
How Syntora Builds a Custom Double-Entry Ledger System
The first step is to map every data source: bank accounts via Plaid, payment processors like Stripe, and any payroll systems. We audit your chart of accounts and learn your specific categorization rules. This discovery phase produces a data flow diagram and a clear plan for how transactions will be ingested, categorized, and recorded in a new, dedicated ledger system.
We built our own double-entry ledger using PostgreSQL because it enforces transactional integrity with ACID compliance. An Express.js API handled the ingestion from Plaid and Stripe webhooks. This architecture provided real-time updates; a transaction appeared in the ledger within 500ms of being cleared by the bank. For your firm, we would use a similar pattern, likely with FastAPI in Python, to connect to your specific financial data sources.
The delivered system is a secure, private ledger that you own. It includes a custom admin dashboard with dedicated views for bank sync status, ledger entries, tax estimates, and monthly close checklists, similar to the 12-tab interface we built for our operations. The system does not replace your CPA's software; instead, it provides them with perfectly categorized, pre-reconciled data, saving hours of billable time each month.
| Manual Accounting Workflow | Syntora's Automated System |
|---|---|
| Transaction Categorization | 10-15 hours per month |
| Reconciliation Error Rate | 2-3 errors per closing period |
| Time to Close Books | 5-7 business days |
What Are the Key Benefits?
Direct Engineer Access
The founder on your discovery call is the engineer who builds your system. No project managers, no communication gaps.
You Own All the Code
You get the full source code in your private GitHub repository and a detailed runbook. No vendor lock-in, ever.
4-6 Week Build Timeline
A typical accounting automation system is scoped, built, and deployed in four to six weeks from kickoff.
Transparent Post-Launch Support
Optional monthly retainers cover monitoring, updates, and support. You know the cost upfront with no surprise bills.
Deep Accounting Logic Understanding
Syntora understands double-entry principles, revenue recognition, and tax estimation, not just API connections.
What Does the Process Look Like?
Discovery Call
A 30-minute call to understand your transaction volume, existing tools, and primary pain points. You receive a scope document within 48 hours.
Architecture & Data Mapping
You provide read-only access to bank feeds and payment processors. Syntora maps the data flow and presents the technical architecture for your approval before building.
Iterative Build & Demos
You get access to a staging environment within two weeks. Weekly check-ins allow for feedback to ensure the categorization logic and reporting match your needs.
Handoff & Training
You receive the full source code, deployment scripts, and a runbook. Syntora provides a live training session and monitors the system for 30 days post-launch.
Frequently Asked Questions
- What determines the cost of a custom accounting system?
- Cost is based on three factors: the number of bank and payment processor integrations, the complexity of your categorization rules, and custom reporting requirements. A single Stripe connection is a smaller scope than five bank accounts and a payroll provider. The discovery call determines a fixed price before work begins.
- How long does this take to build?
- A typical build takes 4 to 6 weeks. The main variable is timely access to financial data APIs and the clarity of your existing chart of accounts. Delays in providing credentials or defining transaction rules are the most common reasons for timeline extensions.
- What happens if something breaks after launch?
- You own the complete source code and a runbook for common issues. For ongoing peace of mind, Syntora offers a flat monthly support retainer. This plan covers system monitoring, bug fixes, and necessary updates prompted by changes to third-party APIs from banks or payment processors.
- How do you handle sensitive financial data?
- Syntora never stores your credentials. We use secure tokens from services like Plaid to access data. The entire system is deployed on your own private infrastructure on DigitalOcean or AWS, giving you full control over data security, access logs, and compliance.
- Why hire Syntora instead of an accounting software consultant?
- Consultants configure off-the-shelf software like QuickBooks. Syntora builds a system from scratch when the business logic you need is impossible to create in those tools. This service is for firms that have hit the architectural limits of generic accounting software and need a production-grade solution.
- What do we need to provide to get started?
- You need to provide API access to your bank accounts, payment processors, and your existing chart of accounts. A key contact from your team must be available for about one hour per week during the build to answer questions on transaction categorization and approve logic.
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