Automate Time Tracking and Invoice Generation for Your Accounting Firm

Most accounting firms rely on tools like QuickBooks Time or Harvest. These systems are effective digital spreadsheets for logging hours, but they depend entirely on manual entry. The core problem isn't the logging tool; it's the human behavior of capturing every billable moment. Accountants forget to start and stop timers, leading to lost revenue from unbilled 'quick calls' and 'short emails'.

A senior accountant at a 20-person firm spends their Friday afternoon trying to reconstruct the week. They scroll through Outlook sent items, check their Google Calendar for client meetings, and look at Zoom call logs. They know they spent about 45 minutes on a client's tax planning, but it was spread across two short calls and three emails. They end up under-billing by 15 minutes to be safe, which costs the firm 3-4 billable hours per month, per accountant.

Practice management software like Karbon or TaxDome integrates time tracking, but it only captures work done *inside* that platform. The systems miss the critical advisory work that happens in email threads and on unscheduled phone calls. This creates data silos and an incomplete picture of billable work, forcing staff back to manual reconciliation.

The structural issue is that these tools are designed for time logging, not activity capture. They are passive databases that require disciplined data entry. A real solution must be an active system that observes activities across all the firm's communication channels, intelligently proposes billable time entries, and turns a tedious manual task into a simple, daily approval workflow.

Syntora would start with a complete audit of your firm's activity sources. The process involves mapping where billable work happens, whether in Microsoft 365, Google Workspace, Zoom, Fireflies, or your practice management software. This discovery phase creates a clear data flow map and identifies the unique billing rules for your key clients.

We would build a core system in Python using the Claude API to process unstructured data like email threads and call transcripts, extracting duration, participants, and topics. This mirrors the same extraction pipeline Syntora built for its own proposal generation. An AWS Lambda function would poll these sources every 15 minutes, normalizing data into a structured format and storing it in a Supabase database linked to client and project codes. A simple FastAPI backend would then serve a review interface for accountants to approve or edit the AI-suggested time entries in under 5 seconds.

Once approved, the system would create draft invoices directly in QuickBooks via its API. For firms with highly customized invoice templates in Excel, we use `openpyxl` to populate the data while preserving all existing formulas and formatting, a process Syntora has already deployed for financial reporting automation. The final delivered system provides a daily email summary to each accountant, turning a weekly 4-hour chore into a 2-minute daily review.