Find an AI Automation Partner for Your Payroll

Many small businesses use Gusto or Rippling, which are effective for standard W-2 employees. These platforms struggle with project-based pay, blended overtime rates for workers with multiple roles, or per-diem rules that vary by state. Their APIs are often limited, preventing the injection of custom validation logic before a payroll run is committed.

A 30-person logistics company in California has drivers who earn a base rate plus a per-mile bonus. California's overtime rules require calculating the "regular rate of pay" by blending these rates, a figure that changes weekly. Gusto's API does not expose the inputs needed to run this custom calculation, forcing the payroll admin to spend 5 hours every two weeks manually calculating this in a spreadsheet, which risks costly compliance errors.

These platforms are built for the 80% of businesses with simple payroll needs. Their architecture prioritizes a clean user interface over flexible logic. This design cannot support custom, pre-run validation hooks that are specific to one company's union agreement or another's state-specific meal break penalties. You are forced back into a manual spreadsheet workflow, the exact problem software was supposed to solve.

Syntora's approach begins with a comprehensive discovery phase to map your exact payroll process and compliance rules, from timesheet ingestion to general ledger entry. We would request read-only API access to your HRIS (like Gusto) and accounting platform (like QuickBooks Online). Leveraging libraries like qbo-python, we can pull historical payroll data to build a comprehensive test suite before implementing new logic.

The core of the proposed solution is a custom FastAPI service, designed for hosting on platforms like AWS Lambda, that would function as a validation and automation engine. When a timesheet CSV is uploaded, this service would parse the data. It can then use the Claude API to classify complex line items and validate them against your specific business rules, such as those for prevailing wage calculations or overtime rules. For instance, the system would check specific rates against a secure data store, which Syntora could update daily. We have experience building document processing pipelines using Claude API for financial documents, and the same pattern applies to payroll-related documents and compliance checks. The API would be designed to return a pass/fail status with detailed error messages, targeting rapid response times typically under 500ms for individual validation requests.

This FastAPI service would connect directly to your existing systems via their APIs, such as Rippling or QuickBooks. The system would expose endpoints for your payroll administrators to trigger validations before finalizing a payroll run. For example, it could flag incorrect expense reimbursements or missing client codes, proactively catching errors that often lead to costly re-billing or compliance issues.

For operational visibility, we would configure structured logging using structlog, piping all outputs to a service like AWS CloudWatch for monitoring. Should an API call to QuickBooks fail or the Claude API return an unexpected format, a PagerDuty alert would be triggered to ensure immediate attention. The typical monthly hosting and monitoring cost for such a system on AWS would be under $50, offering a predictable operational expense that does not scale with payroll volume. The initial build for a system of this complexity, including discovery, development, and testing, typically ranges from 4 to 8 weeks, depending on the number of rules and integrations.