Streamline Agency Time Tracking and Billing with AI
AI streamlines time tracking and expense allocation by automatically classifying entries against project codes and SOWs. It uses language models to interpret free-text notes, connecting your timesheet data directly to your accounting system.
Key Takeaways
- AI can automate project-based billing by classifying time entries and expense receipts against SOW line items.
- A custom system connects directly to your existing time tracking and accounting software via their APIs.
- The process uses large language models to interpret free-text descriptions, removing manual data entry and reconciliation.
- This system can reduce monthly invoice preparation time from over 4 hours to less than 20 minutes.
Syntora designs custom AI systems for professional services firms to automate time and expense allocation. The system connects to tools like QuickBooks and Harvest, using the Claude API to classify entries against project codes. This approach reduces manual monthly reconciliation from hours to minutes, improving billing accuracy and speed.
The complexity of a build depends on your current tools and the logic of your billing rules. An agency using Harvest and QuickBooks with well-defined project codes is a 4-week project. Integrating multiple timesheet tools or parsing complex, multi-line expense receipts could extend the timeline to 6 weeks.
The Problem
Why Do Small Agencies Still Reconcile Timesheets Manually?
Most agencies start with tools like QuickBooks Time or Harvest. QuickBooks Time is built for payroll, not project accounting. Allocating a developer's time entry to a specific, billable SOW task requires a manager to manually edit each entry before an invoice can be run. This process often happens weeks after the work was done, leading to guesswork and billing errors.
Harvest and Toggl are better for project-level tracking but their integrations are superficial. They sync data but lack any intelligence. An engineer submits an expense for a $50 software license, and an operations manager must still manually open the receipt, categorize the expense, and assign it to the correct client project in QuickBooks. The system cannot read the receipt and understand that "Figma License" should be billed to the "Client X - Design Phase" project.
Consider a 15-person agency at the end of the month. An account manager spends a full day chasing down late timesheets. Then, they must read through hundreds of notes like "dev work on API" or "client call" and manually map each one to a billable project code. An expense for AWS hosting must be split 60/40 between two clients, a task no off-the-shelf tool can automate based on internal rules.
The structural problem is that these SaaS tools are rigid systems of record. Their data models are fixed, and their integrations only move data without interpreting it. You cannot build custom logic into them. They force your team into hours of low-value, error-prone administrative work that delays invoicing and directly impacts cash flow.
Our Approach
How Syntora Builds an AI-Powered Allocation System
The first step is a discovery audit of your existing workflow. Syntora would review your SOW templates, project codes in QuickBooks, and 3 months of historical timesheet and expense data. This process maps out the exact rules for how narrative descriptions translate into billable line items. You would receive a clear data map showing the logic before any code is written.
A custom AI allocation system would be built around a FastAPI service that acts as a central hub. The service would use the APIs for your time tracking and accounting software to pull new entries every 15 minutes. For each entry, it would send the text description and SOW details to the Claude API, which returns a structured JSON object with the suggested project code, billable status, and a confidence score. This entire process typically executes in under 2 seconds per entry.
The delivered system provides a simple review queue where a manager sees the AI's suggestions. High-confidence allocations (e.g., over 98%) could be configured to post to QuickBooks automatically. Lower-confidence entries wait for a one-click approval. You get the full source code, deployed in your AWS account, and a runbook for maintenance. The result is a system that enforces your business rules automatically, turning a full day of manual work into a quick review.
| Manual Reconciliation | Automated Allocation with Syntora |
|---|---|
| 4-8 hours of manual reconciliation per month | Under 20 minutes of review per month |
| High risk of misallocating billable hours | Entries classified with over 95% accuracy |
| Delayed invoicing and inconsistent cash flow | Invoices ready for approval same-day |
Why It Matters
Key Benefits
One Engineer, From Call to Code
The person on the discovery call is the engineer who builds your system. No project managers, no handoffs, no miscommunication between sales and development.
You Own Everything, No Lock-In
You receive the full Python source code in your GitHub repository, plus a runbook for maintenance and deployment. There is no proprietary platform to get locked into.
Realistic 4-6 Week Build Cycle
A focused project of this scope is typically designed, built, and deployed in 4 to 6 weeks. The timeline depends on the quality of your current tool's APIs.
Clear Post-Launch Support
Syntora offers an optional flat-rate monthly support plan that covers monitoring, bug fixes, and adjustments. You have a direct line to the engineer who built the system.
Focus on Professional Services Logic
The system is designed around the core challenge of professional services: mapping unstructured work descriptions to structured, billable project codes from an SOW.
How We Deliver
The Process
Discovery and Data Audit
A 45-minute call to understand your billing process and current tools. You provide sample SOWs and read-only API access. You receive a scope document with a fixed price within 48 hours.
Architecture and Rule Definition
Syntora presents the technical architecture and a detailed mapping of your billing rules. You approve the logic and connection points before any development work begins.
Build and Weekly Check-ins
You get weekly updates with access to a staging environment to see progress. You can test the classification logic with your own data and provide feedback before the final deployment.
Handoff and Documentation
You receive the complete source code, a deployment runbook, and API documentation. Syntora monitors the live system for 4 weeks post-launch to ensure stability and accuracy.
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You own everything we build. The systems, the data, all of it. No lock-in
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