Improve Payroll Accuracy and Compliance with a Custom AI System

Most small businesses rely on platforms like Gusto or QuickBooks Payroll. These tools are excellent for standard W-2 employees but fail when faced with non-standard logic. Consider a construction company with blended overtime rates. An employee might work 30 hours on 'Site Prep' at $25/hr and 15 hours on 'Heavy Machinery' at $45/hr. The platform can't apply overtime only to the higher-rate hours or correctly calculate the weighted average without manual intervention. This forces the payroll manager into a spreadsheet for every complex case.

A 30-person services firm faces a similar issue with commissions and job costing. They use a tool like ADP Run for its compliance features, but its API is too rigid to connect directly to their custom project management software. Before each pay run, an admin spends 4 hours exporting timesheets, manually matching them to project codes in a spreadsheet to calculate commissions, and then creating a CSV file to upload into ADP. This manual data entry introduces a high risk of error that could lead to overpayment or non-compliant wage calculations.

The structural problem is that off-the-shelf payroll software is designed with a fixed data model. These platforms are architected for mass-market standardization, not for the specific operational logic of an individual business. They cannot ingest data from an external system and apply a unique set of 'if-then' rules during a pay run. This architectural choice forces any business with unique compensation structures to build fragile, manual processes outside of the system, defeating the purpose of the software.

The first step is a discovery audit. Syntora connects to your time-tracking, HRIS, and project management tools via API to map your exact data flow. We identify every calculation currently performed in spreadsheets and document every rule, no matter how small. You receive a technical specification outlining how data will be pulled, validated, and processed, which you approve before any build work begins.

We built our own financial system using a PostgreSQL ledger and integrations with Plaid and Stripe. A payroll system for your business would follow a similar pattern. We would build a FastAPI service that listens for webhooks from your time-tracking software. An AWS Lambda function would trigger on new time entries, applying your specific business logic using Python. Pydantic schemas would enforce strict data validation, ensuring that an invalid job code or a missing pay rate flags the entry for review instead of causing a calculation error. This creates an automated pre-processing layer.

The delivered system acts as a validation engine that sits between your operations and your payroll provider. It automates the complex calculations and generates a clean import file for Gusto, ADP, or your accounting software. Your finance team receives a simple dashboard showing the processed payroll and highlighting any exceptions that require human review. You own all the source code, and it runs in your own cloud environment for a hosting cost typically under $50/month.