Automate HR Tasks and Expense Approvals with Custom AI

Many accounting firms start with tools like Expensify or Ramp for expense management. These platforms work well for standard corporate policies but cannot handle the nuances of a professional services firm. They struggle to connect a specific expense to a billable client project in QuickBooks or enforce different reimbursement rules based on the engagement type. An expense that is valid for one client may violate the budget for another, and these tools have no way to check.

For example, consider an associate who submits a receipt for a client lunch. A partner must manually open the receipt, confirm the attendees, check the amount against that specific client's entertainment budget, and then create a billable expense in QuickBooks, correctly coded to the project. This process takes over 5 minutes per receipt and is repeated dozens of times a week. The built-in receipt scanning in QuickBooks Online only extracts the vendor and total, leaving all policy validation to manual human review.

The structural problem is that off-the-shelf expense software is built for internal cost centers, not client-billable project work. The logic is hardcoded for a typical corporate hierarchy. It cannot query an external system like QuickBooks to validate an expense against a project budget before approval. This architectural limitation forces partners and office managers into a cycle of manual review, data entry, and ad-hoc policy checks that consumes high-value time.

The first step is a discovery process where Syntora audits your firm's written expense policy and reviews the last 3 months of expense reports. We map every rule, edge case, and approval path. This audit translates your operational knowledge into a complete specification that becomes the blueprint for the automation. You receive a document outlining the full logic for your approval before any code is written.

The technical approach uses a stack chosen for this specific task. An AWS Lambda function is triggered when an employee emails a receipt or uploads it to a simple portal. This function sends the document to the Claude API, which extracts structured data like vendor, line items, and taxes with high accuracy. A FastAPI service then takes this data and queries the QuickBooks API to validate client and project codes. The service runs the expense against your coded policies, and Pydantic schemas ensure data integrity throughout the process. We have used this document processing pattern successfully for complex financial documents.

The delivered system provides a simple web interface on Vercel for submissions and a dashboard for reviewing exceptions. Fully approved expenses are created in QuickBooks automatically in under 60 seconds. Expenses that violate policy (e.g., over budget by more than 10%) are flagged for partner review with the specific reason noted. The entire system runs on serverless components, typically costing under $50 per month, and you receive the full source code and maintenance runbook.