Automate Client Onboarding for Your Professional Services Firm

Many professional services firms try to manage onboarding with HubSpot Workflows or other CRM automation features. These tools can trigger tasks when a deal stage changes, but they cannot read the documents that define the engagement. A signed Statement of Work (SOW) PDF attached to a HubSpot deal is just a file; the CRM has no awareness of the project start date, billing terms, or total contract value contained within it.

This forces a manual, error-prone process. For example, a 15-person consulting firm signs a new client. The account manager receives the signed SOW via email. They must then open HubSpot, create a deal, and manually type in the client name, project scope, and retainer amount. Next, they switch to QuickBooks, create a new customer, and re-type the exact same billing information to set up the first invoice. This 25-minute, two-application process is repeated for every new client, and a single typo in an invoice amount can delay payment by a month.

The structural problem is that CRMs and accounting platforms are built for structured data entry through forms and API calls, not for interpreting unstructured documents. They lack a native document intelligence layer. Adding a form tool like Typeform only solves part of the problem. It captures initial interest but does not help when the legally binding SOW arrives as a PDF, which is where the most critical onboarding data lives.

The first step would be a complete audit of your client intake documents. Syntora would analyze your SOWs, Master Service Agreements (MSAs), and any other contracts to identify the specific data fields that need to be extracted. This discovery process results in a clear data schema that becomes the blueprint for the entire system, ensuring every critical piece of information is captured.

Technically, the system would be built around a Python FastAPI service that uses the Claude API for its powerful document parsing capabilities. When a signed contract is received in a designated inbox, an AWS Lambda function would be triggered. This function passes the document to the FastAPI service, where the Claude API extracts entities like 'Client Name', 'Effective Date', and 'Monthly Retainer'. We've used this exact pattern to process complex financial documents, and it applies directly to professional services contracts.

The final output is structured, validated data. The system would then use the HubSpot and QuickBooks APIs to create a new deal and a new customer with a recurring invoice, respectively. The delivered system is a production-grade, automated workflow that you own. You receive the full source code, a technical runbook, and a monitoring dashboard to track every document processed.