Automate Proposal and SOW Drafting for Your Accounting Firm

Many accounting firms rely on proposal tools like Ignition or PandaDoc. These platforms are effective for sending templated documents and capturing e-signatures, but they lack dynamic logic. An accountant still has to manually select the correct service blocks for a client. The software cannot automatically suggest adding an 'R&D Tax Credit' service for a client tagged as a 'tech startup' in HubSpot.

Consider a partner drafting a proposal for a new 15-person client. The partner opens a Word document, logs into QuickBooks to copy the client's legal name, and then opens HubSpot to find the primary contact. They paste in the standard 'Monthly Bookkeeping' description, manually adjust the price based on transaction volume, and then add the 'Annual Tax Filing' service. This 45-minute, non-billable process is prone to copy-paste errors that can misstate scope or pricing.

The structural problem is that off-the-shelf tools are built around static templates. Their architecture assumes a human will assemble the components. They cannot execute conditional rules like 'If client industry is Manufacturing and revenue is over $5M, include the inventory costing service block and increase the bookkeeping fee by 15%.' This requires a custom system that reads data from multiple sources and applies your firm's specific business logic before the document is ever created.

The first step is a discovery audit of your existing proposals and service templates. Syntora would map every service you offer, its standard pricing, and the rules that govern its inclusion. We would also map the data flow from your CRM, like HubSpot, and accounting software, like QuickBooks, to identify the exact fields needed for each proposal, such as client industry or employee count.

The core system would be a FastAPI service hosted on AWS Lambda. When a proposal is requested, the service queries the HubSpot and QuickBooks APIs for client data. This information, along with your service templates stored in a Supabase database, is passed to the Claude 3 Sonnet API. A precise prompt instructs the model to assemble the correct service blocks, fill in client data, and calculate pricing according to your rules. The model's 200K token context window can handle even the most detailed SOWs.

The entire generation process would take under 120 seconds for a system with up to 50 distinct service templates. The delivered solution is a simple web form where your team enters a client's name to generate a draft in Google Docs or Microsoft Word format. Hosting on AWS Lambda keeps infrastructure costs under $30 per month, and the typical build is completed in a 4-week timeline.