Automate Payroll and Compliance with Custom AI Systems

Many small businesses run on tools like QuickBooks Payroll or Gusto. These platforms are excellent for standard W-2 payroll in a single state. Their limitations appear when your business has non-standard requirements. For instance, QuickBooks Payroll cannot automatically calculate commissions based on tiered sales data from your CRM, forcing a manual export and calculation process each pay period.

Consider a 25-person consulting firm with employees and 1099 contractors in four different states. Contractors are paid upon project milestone completion, which is tracked in Asana. Gusto has no native way to connect to Asana, check if a milestone is marked 'complete,' and trigger a specific payment. This forces the finance manager to spend over 10 hours a month manually cross-referencing project boards with contractor invoices, checking timesheets in Harvest, and calculating correct state tax withholdings for each person. One data entry mistake can result in a mispayment or a compliance fine.

The structural problem is that off-the-shelf payroll software is designed for mass-market employment scenarios. The data models are rigid and their APIs are limited to basic data syncs, not conditional logic. They cannot run a calculation that says, 'If this task in Asana is complete and the associated timesheet hours are approved in Harvest, then calculate a 15% commission and add it to the next pay run.' This operational gap cannot be closed with their existing feature sets.

The first step is a process audit. Syntora maps every data source involved in your payroll: time tracking software, project management tools, CRM data for commissions, and expense platforms. We document the specific calculation rules for each employee and contractor type across every state. The result is a detailed data flow diagram and a fixed-scope proposal you approve before any code is written.

Our technical approach involves building a 'headless' payroll engine using FastAPI and running it on AWS Lambda for efficiency. This engine acts as a central hub. We built similar financial systems connecting Plaid and Stripe to a PostgreSQL ledger. For your payroll, the system would use APIs to pull timesheet data from Harvest and project status from Asana. Using the Python library pandas, it would perform all the complex calculations for a 50-person team in under 60 seconds and generate an auditable report.

The delivered system plugs into your existing workflow. Each pay period, the engine runs automatically, produces a pre-processing report for your review, and, upon approval, pushes the final payroll journal to your accounting software and payment data to your payroll provider. You receive the full Python source code, a runbook for maintenance, and structured logging via `structlog` for a complete audit trail of every calculation.