Your Clients' Books Don't Belong in a Cloud Model
Accountants and bookkeepers handle tax returns, financial statements, and client SINs every day. On-premises AI drafts client communications, explains journal entries, and summarizes statements — without any of it leaving your office for a third-party server.
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-weight models like GLM-5.3-Flash, DeepSeek V4.1 Flash and Qwen3.8-27B now rival proprietary models on document analysis and reasoning — and they run on hardware in your office.
Client Confidentiality and Firm Productivity
Client Confidentiality
Every client return, statement, and SIN you paste into cloud AI could end up training a model someone else uses. On-premises means client tax data, balances, and identities stay in your office.
PIPEDA & Professional Standards
On-premises AI eliminates the data-processing-addendum negotiation and the cloud-vendor sub-processor audit. No third party touches client data — you meet your confidentiality obligations by architecture, not policy.
Unlimited Inference
No per-token charges, no rate limits, no usage caps. Draft, reconcile, and summarize as much as you need — including through busy season — without watching a meter.
Frontier Open-Source Models
Run GLM-5.3-Flash, DeepSeek V4.1 Flash, and Qwen3.8-27B — strong at document analysis, extraction, and numerical reasoning — on hardware in your office, with no vendor lock-in.
Top 10 Ways Faraday Helps Accountants & Bookkeepers
- Draft Client Communications — emails and letters explaining balances, provisions, and filings without client data leaving your office
- Explain Journal Entries — plain-language explanations of complex entries for junior staff and clients
- Categorize Transactions — suggest chart-of-accounts categorization from descriptions, privately
- Summarize Financial Statements — narrative summaries of P&L and balance sheet for client meetings
- Draft Tax Memos — first-draft memos on treatment questions, kept strictly internal
- Reconcile Discrepancies — walk through bank and ledger mismatches with AI assistance
- Answer Client Questions — query a client's own books and general ledger without exposing them
- Convert Receipts to Entries — structure messy receipt data into clean journal lines
- Review Workpapers — catch missing documents and inconsistent classifications before review
- Fixed Firm Costs — one fixed monthly plan for unlimited AI — no per-seat or per-token charges
On-Premises vs. Cloud AI for Accounting Firms
| Consideration | Cloud AI for Accountants | Faraday On-Premises |
|---|---|---|
| Data location | Client tax data, financials, and SINs sent to external servers for every prompt | Client data never leaves your office — zero confidentiality exposure |
| Pricing model | Per-seat pricing ($200/mo enterprise AI × every staff member) | Unlimited inference for the whole firm — no per-seat charges |
| Usage limits | Rate limits and usage caps throttle the firm during busy season | No rate limits — your hardware, your throughput, including busy season |
| Model training | Client data may train models available to others — a confidentiality breach | No data training — client records stay yours |
| Vendor lock-in | Vendor lock-in deepens with every workflow you build on it | — |
| Cost | — | $299 / $599 / $999 a month — hardware, models and support included |
Frequently Asked Questions
Can accountants use AI without breaching client confidentiality under PIPEDA?
Yes, if the AI runs on hardware the firm controls. With Faraday Machines, the model runs on a Mac Studio in your office, so client tax returns, SINs and balances are never sent to a third-party AI vendor. That removes the data-processing addendum and sub-processor audit a cloud tool requires. Your firm still sets its own access rules, and the system includes audit logging and end-to-end encryption to support them.
How much does private AI cost for a 10-person accounting firm?
A 10-person firm fits Faraday Machines' Growth tier: one Mac Studio M5 Ultra with 256 GB of unified memory for $599 a month on a 36-month plan ($21,564 over the term), including the hardware, updates, maintenance and support. By comparison, enterprise cloud AI at about $200 per seat per month costs a 10-person firm roughly $24,000 a year, or $72,000 over three years. Firms of 2–9 people fit the $299-a-month Starter tier.
Which open-source AI models are best for bookkeeping and tax work?
GLM-5.3-Flash is the strongest all-round choice for document analysis, extraction and numerical reasoning, and it accepts image input such as scanned receipts; it runs on Faraday Machines' Growth tier as a compressed 1–2-bit build, or at 4-bit on Scale. Qwen3.8-27B is smaller and faster for quick drafting and fits a single Starter unit. DeepSeek V4.1 Flash, with a 1-million-token context window, suits long sets of statements or workpapers on the Scale tier as a compressed 1–3-bit build.
Will on-premises AI slow down or hit usage caps during tax season?
There are no usage caps to hit. Faraday Machines systems have no per-token charges, rate limits or usage caps, so the firm can draft, reconcile and summarize as much as it needs through busy season. Capacity is set by the hardware instead: each Mac Studio unit delivers about 50 tokens per second on a frontier model, and firms that need more throughput can add units.
Does an accounting office need IT staff to run on-premises AI?
No. Faraday Machines configures the system remotely and provides a management dashboard that lets non-technical staff monitor usage, manage users and install updates. If a unit fails, Faraday ships a replacement, typically within 48 hours. Firms can try a demo system at the Toronto office or on-site before signing up, and every plan has a 30-day money-back guarantee.
Stop Putting Client Books in the Cloud
On-premises AI for drafting, reconciliation, and client Q&A. Private, unlimited, and 75% cheaper than cloud alternatives.
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