Build AI Automation for Your Firm's Internal Workflows

Professional services firms run on a collection of best-in-class tools: HubSpot for CRM, QuickBooks for accounting, and something like Asana for project management. While each tool is effective on its own, their connections are often brittle or nonexistent. The native integrations might create a new customer record but can't transfer the specific deliverables from a signed SOW into a project plan.

Consider the workflow for a 15-person consulting firm after closing a deal. A partner manually copies client details from HubSpot into QuickBooks. Then, they open the 5-page SOW PDF, manually extract the 12 key deliverables and 3 project phases, create a new project in Asana, and create tasks for each deliverable. This is 45 minutes of non-billable, error-prone work for every single new client.

The structural issue is that these tools operate in silos with their own data models. A 'deal' in HubSpot is fundamentally different from an 'invoice' in QuickBooks or a 'project' in Asana. Off-the-shelf connectors can perform simple if-then actions but cannot read an unstructured SOW or apply the conditional logic needed to build a complex project plan. They can't bridge the gap between sales context and project delivery.

The result is a direct hit to profitability. That 45 minutes of a partner's time costs the firm over $150 in lost billable hours. More importantly, manual data entry introduces mistakes. A typo in an invoice amount or a missed deliverable in the project setup creates client friction and undermines the trust you just worked to establish.

The process would begin with an audit of your existing workflow, from a signed proposal to the first invoice. We would map every manual step and data source involved: the HubSpot deal object, the PDF SOW, the QuickBooks customer record, and the project template in your management tool. The deliverable from this audit is a flow diagram that becomes the blueprint for the automation.

Syntora would build a central FastAPI service in Python to act as an orchestration layer. When a HubSpot deal is marked 'Closed-Won', a webhook triggers this service. The service uses the Claude API to read and parse the attached SOW, extracting key details like project scope, deliverables, and timelines. We have used this exact document parsing pattern for complex financial filings; the same approach applies directly to professional services agreements. Pydantic models validate the extracted data before it's used.

The FastAPI service then connects to your other systems' APIs. It would create a new customer and a draft invoice in QuickBooks and set up a new project in your project management tool, populating it with tasks based on the SOW's deliverables. The entire process, from deal-close to a fully configured project, would take under 60 seconds. You receive the full source code deployed on AWS Lambda, which typically costs less than $15 per month to operate.