Automate Client Document Collection and Verification
AI provides a secure portal for new accounting clients to upload documents. It then extracts key data, verifies completeness, and flags missing information automatically.
Key Takeaways
- AI provides a secure portal for new accounting clients to upload documents, then automatically extracts data and verifies completeness.
- The system replaces manual email follow-ups and checklist management with an automated dashboard showing the real-time status of all required documents.
- A custom intake system can be built and deployed in 4-6 weeks, reducing client onboarding administration by over 80%.
- Syntora builds the system with Python and the Claude API, giving you full ownership of the code and data.
Syntora designs custom AI systems for accounting firms to automate client document collection. A typical system reduces onboarding checklist management time by over 80%. This involves a FastAPI service using the Claude API to extract data from PDFs and verify completeness against client-specific requirements.
We built our own accounting automation system using Plaid for bank sync and PostgreSQL for a double-entry ledger. Applying that engineering discipline to client onboarding, the scope depends on the number of document types you collect and the complexity of your verification rules. A system for a firm collecting standard W-2s and 1099s is different from one needing to parse multi-page K-1s and prior-year corporate returns.
The Problem
Why Is Accounting Client Onboarding Still a Manual Chase?
Many accounting firms use client portals like TaxDome or Canopy, or a combination of Dropbox and email. These tools act as digital filing cabinets. They confirm a file was uploaded, but they have no understanding of what is inside the file. Your staff still has to open every single PDF to manually verify its contents, creating a significant administrative bottleneck.
Consider onboarding a new S-Corp client. You need their prior year 1120-S, all shareholder K-1s, the last four quarterly payroll reports, and 12 months of bank statements. The client uploads a PDF named 'statements.pdf', but it only contains 11 months. They upload a payroll report from the wrong year. Each error requires an email exchange, a delay, and a manual update to a spreadsheet checklist. This process can take 10+ hours of non-billable time spread across two weeks.
The structural problem is that these off-the-shelf tools are designed for generic file sharing, not intelligent document processing. They cannot be configured to read a PDF and confirm it is an actual Form 1120-S from the correct tax year. They cannot extract shareholder names from a K-1 to cross-reference your client list. You are stuck with manual review because the software treats every document as an unknowable, opaque file.
Our Approach
How Syntora Builds an AI-Powered Document Intake System
The engagement starts with a discovery session to map every document you require for each client type, from individuals to complex partnerships. We define the specific verification rules for each document: date ranges, required fields, and totals that must match. This map becomes the blueprint for the entire system.
The core of the solution would be a FastAPI service running on AWS Lambda. When a client uploads a document to a secure portal built on Vercel, this service uses the Claude API to perform optical character recognition (OCR) and data extraction. Because of its large context window, Claude can process multi-page documents like bank statements or complex partnership returns in a single pass, typically under 30 seconds. The extracted data and status are stored in a Supabase PostgreSQL database.
The delivered system provides two interfaces. Your client gets a simple, checklist-style portal showing exactly what they need to upload, with green checks appearing as valid documents are received. Your team gets an admin dashboard showing the onboarding status of all new clients at a glance. Instead of chasing files, your team reviews an already-verified and complete document package.
| Manual Onboarding Checklist | Syntora Automated Intake |
|---|---|
| 8-12 hours of admin time per new client | Under 1 hour of review time per new client |
| 3-5 emails per client to chase missing documents | Automated reminders until collection is 100% complete |
| High risk of data entry error from PDFs to tax software | Extracted data is validated and ready for one-click import |
Why It Matters
Key Benefits
One Engineer, From Call to Code
The person on your discovery call is the engineer who writes the code. There are no project managers or handoffs, which eliminates miscommunication and ensures deep understanding of your firm's process.
You Own The System And The Code
The entire system is deployed in your own cloud environment. You receive the full source code in your GitHub repository and a runbook for maintenance. There is no vendor lock-in.
A 4-Week Build, Not a 6-Month Project
For a typical firm with 5-10 core document types, a production-ready intake system can be designed, built, and deployed in four weeks. The timeline is driven by your specific verification rules.
Clear Support After Go-Live
After an initial 8-week support period, Syntora offers a flat monthly plan for monitoring, updates, and bug fixes. You get predictable costs and a direct line to the engineer who built your system.
Built for Accounting Workflows
Syntora understands the difference between a 1099-NEC and a 1099-MISC. The system is designed around the specific documents and validation rules that matter to an accounting practice, not generic business workflows.
How We Deliver
The Process
Discovery Call
A 30-minute call to understand your current onboarding process and the exact documents you collect. You will receive a scope document within 48 hours detailing the proposed system, timeline, and fixed cost.
Scoping and Architecture
We finalize the list of document types and their specific verification rules. You approve the technical architecture and mockups of the client portal before any build work begins.
Build and Iteration
You get access to a staging environment by the end of week two for testing. Weekly check-ins ensure the system is being built exactly to your firm's specifications.
Handoff and Support
You receive the full source code, a deployment runbook, and training for your team. Syntora monitors the live system for 8 weeks post-launch, with optional ongoing support available after.
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The Syntora Advantage
Not all AI partners are built the same.
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
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Fully private systems. Your data never leaves your environment
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May require new software purchases or migrations
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Zero disruption to your existing tools and workflows
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Training and ongoing support are usually extra
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Full training included. Your team hits the ground running from day one
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Code and data often stay on the vendor's platform
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You own everything we build. The systems, the data, all of it. No lock-in
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