Improve Time Tracking and Billing with Custom AI

Most professional services firms rely on manual entry tools like Harvest or QuickBooks Time. These systems depend entirely on employee discipline. The primary failure mode is human behavior; staff fill out timesheets on Friday afternoon, guessing at activity from days earlier. A 15-minute client call on Tuesday or 30 minutes of work from a Slack request is easily forgotten, leading to revenue leakage and inaccurate project profitability data.

Consider an 8-person agency using QuickBooks for billing and Slack for client communication. A consultant spends 45 minutes on a revision requested via Slack for Project A and takes an unscheduled 30-minute call for Project B. Neither event is logged immediately. At the end of the week, they enter generalized blocks of time, missing over an hour of billable work and misallocating the rest. This under-billing erodes margins and makes it impossible to accurately scope future projects.

The structural problem is that off-the-shelf tools are systems of record, not systems of activity. They are architected for clean, manual input. They cannot synthesize data from multiple unstructured sources, like a calendar invite's description and an email thread's subject line, and map that activity back to a specific project code in QuickBooks. This forces your team to manually bridge the gap, which is where errors and omissions occur.

The first step is a data audit. Syntora would map every source where work-related activity occurs: Google Calendar, Outlook, Slack, Teams, and email. We then analyze your HubSpot and QuickBooks instances to understand how you structure project codes and client accounts. The deliverable from this phase is a data flow diagram that serves as the blueprint for the system.

The technical approach would use Python scripts running on AWS Lambda, triggering every 15 minutes to pull data from your source APIs. The Claude API would parse unstructured text from calendar events and messages to extract project identifiers and task context. This structured information would be stored in a Supabase database. A FastAPI endpoint provides a simple interface for team members to review and approve their daily timesheet drafts in under 200ms.

The delivered system provides a pre-populated timesheet for each employee every morning. Once approved, these entries push directly to QuickBooks, ready for invoicing. The system also generates a weekly "unbilled activity" report, flagging events that could not be automatically matched to a project. This process typically recovers 5-10% of previously lost billable hours. You receive the full source code and a runbook for maintenance.