Your Clients' Books Don't Belong in a Cloud Model

Cloud AI and Client Confidentiality Don't Mix

Enterprise cloud AI runs roughly $200/month per seat. For a 10-person firm that's about $24K a year — and every time someone drafts a client email or summarizes a set of financials, that client's tax data, SINs, and balances are heading to a third-party server. For a profession bound by confidentiality and PIPEDA, that architecture is a liability you can't policy away. Open-source models like GLM-5.2 and DeepSeek V4 now match proprietary models on document analysis and reasoning — and they run on hardware you own.

Client Confidentiality and Firm Productivity

Top 10 Ways Faraday Helps Accountants & Bookkeepers

1. Draft Client Communications — emails and letters explaining balances, provisions, and filings without client data leaving your office
2. Explain Journal Entries — plain-language explanations of complex entries for junior staff and clients
3. Categorize Transactions — suggest chart-of-accounts categorization from descriptions, privately
4. Summarize Financial Statements — narrative summaries of P&L and balance sheet for client meetings
5. Draft Tax Memos — first-draft memos on treatment questions, kept strictly internal
6. Reconcile Discrepancies — walk through bank and ledger mismatches with AI assistance
7. Answer Client Questions — query a client's own books and general ledger without exposing them
8. Convert Receipts to Entries — structure messy receipt data into clean journal lines
9. Review Workpapers — catch missing documents and inconsistent classifications before review
10. Fixed Firm Costs — one hardware purchase for unlimited AI — no per-seat or per-token charges

On-Premises vs. Cloud AI for Accounting Firms