Automate Client Onboarding for Your Consulting Firm

Most small consulting firms manage onboarding with a combination of email and manual updates to their CRM. A partner closes a deal and forwards the signed PDF engagement letter to an operations manager. That person then begins the tedious process of transcribing information. HubSpot workflows can trigger tasks, but they cannot read the contents of the attached PDF to pull out the client's legal name, primary contact, or project start date.

Consider a 10-person strategy firm that signs a new client. The operations manager opens the 12-page SOW and manually finds the primary contact's details to create a new record in HubSpot. They then create a Deal, copy-pasting the project start date, scope summary, and fee structure. Next, they open QuickBooks to create a new customer and set up the initial invoice schedule. This 25-minute, multi-system process is repeated for every new client, creating a bottleneck and a high risk of data entry errors.

The structural problem is that the official record, the signed SOW, is disconnected from the operational systems. HubSpot knows about deals, and QuickBooks knows about billing, but neither can understand the unstructured text in the legal document that governs the work. Off-the-shelf connectors can sync records between systems but cannot extract the initial data from its source. This forces a human to act as the bridge, manually transcribing critical information and slowing down the start of a new engagement.

The engagement would begin by auditing your current onboarding workflow and document templates. Syntora would review your standard SOWs, engagement letters, and kickoff questionnaires to map all critical data points. We would also analyze the API capabilities of your CRM and accounting software to plan the integration points. This initial audit produces a detailed data map and a fixed-scope proposal.

The core of the system would be a FastAPI service using the Claude API for document intelligence. When a signed SOW arrives in a designated inbox, the service parses the PDF, extracts entities like client name, project start date, key contacts, and billing schedule with over 98% accuracy. Pydantic models validate this extracted data before it gets used. The service then calls the HubSpot API to create contacts and deals, and the QuickBooks API to draft the initial invoice, processing the entire flow in under 60 seconds. A Supabase database would store a log of every processed document for audit purposes.

The delivered system would live on a lightweight cloud server you control, like AWS Lambda, costing less than $30/month for typical volumes. Your team would trigger the process with a simple email forward. You get the complete Python source code in your own GitHub repository and a runbook explaining how to manage the system. There is no new software for your team to learn.