Automate Client Document Management for Your Firm

Most accounting firms use practice management software like Karbon or TaxDome for client onboarding. These tools offer client portals and document storage, but they treat documents as static files. An admin must still open each PDF, manually re-type the client's name, address, and EIN into the practice management system, and then enter it again into the tax software. The portal just moves the file; it does not extract the data within it.

To solve this, some firms try generic OCR tools. The problem is that a W-9 from a sole proprietorship has a different layout than one for an S-Corp. A generic tool might pull '123 Main St' correctly but fail to identify which address line it is or misclassify the entity type. This forces a human to review and correct every single field, which defeats the purpose of automation.

Consider a firm onboarding a new S-Corp. The client uploads an engagement letter, a 100-page prior year tax return, and a W-9. An administrator spends 30 minutes downloading these files. They spend another hour finding the EIN, business start date, and shareholder information scattered throughout the tax return. They manually create the client record in Karbon, then re-key the same EIN and address into CCH Axcess. The total time is over 90 minutes of non-billable work, with a high chance of a typo in a critical field.

The structural issue is that practice management software is built around workflows, not data intelligence. Their architecture is designed to track tasks, not to be a system of record for extracted client data. They are not built to connect to modern AI models for intelligent data extraction, creating information silos and administrative drag that cannot be solved with off-the-shelf tools.

An engagement with Syntora begins with a process audit. We would map your entire client onboarding workflow, from the first email to the client record being active in your tax software. We review every document you collect and identify the specific fields to be extracted, like EINs, officer names, and prior year balances. This audit produces a data dictionary that becomes the exact specification for the build.

The system would use a FastAPI service powered by the Claude API for document intelligence. When a client uploads a document, a Vercel-hosted webhook triggers an AWS Lambda function. The function sends the document to the API with a structured prompt asking for the specific data points from our audit. Pydantic models validate the extracted data for correct formatting, ensuring an EIN is 9 digits, before writing it to a Supabase PostgreSQL database. Each document is processed in under 15 seconds, and the architecture costs under $50 per month for a firm onboarding 100 new clients annually.

The delivered system includes a simple web interface where your team can review extracted data and approve it with a single click. Approved data would automatically sync to your practice management software via its API. You receive the full source code, a maintenance runbook, and direct access to the engineer who built it. Syntora has built its own accounting backends with double-entry ledgers; we apply that same discipline to your client data.