Industries
Private AI for firms that can't afford to leak
The businesses that gain the most from on‑premises AI share two traits: valuable confidential data and repetitive knowledge work. Here is what that looks like in each practice.
Why privacy wins
Confidentiality is the product
A 20–150 person professional‑services firm is large enough to hold meaningful confidential information, and small enough that building an in‑house AI platform from scratch is impractical. That is exactly the gap TPU Systems fills.
Every deployment keeps client data on hardware in your building, under permissions you already trust, with audit trails your regulators (and insurers) can verify.
Accounting & Bookkeeping Firms
Why private AI: client financial records, tax files and payroll data demand confidentiality you can point to during an engagement letter review.
Typical workflows: searching prior returns and working papers; drafting client correspondence; summarizing CRA notices; extracting structured data from invoices and receipts; drafting first‑pass financial statements and management reports.
Law Firms
Why private AI: privileged documents can't be entered into public tools — full stop. On‑premises processing preserves privilege and confidentiality obligations.
Typical workflows: contract review and first drafts; discovery document summarization; legal research assistance over your own memoranda; drafting affidavits and client letters in house style; matter knowledge bases that respect matter‑level permissions.
Insurance Brokers & Agencies
Why private AI: customer records, policy terms and claims history are regulated personal information under Canadian privacy law.
Typical workflows: policy comparison across carriers; drafting quotes and client advisories; claims correspondence first drafts; underwriting checklist automation; renewal preparation across a large book of business.
Healthcare & Medical Clinics
Why private AI: patient information and PHIPA / PIPEDA obligations make public AI services a compliance non‑starter. On‑premises keeps data residency provable.
Typical workflows: administrative documentation drafting; patient‑education materials; summarizing referral letters and intake forms; internal procedure knowledge base; OHIP billing narrative support — always with role‑based access.
Engineering & Architecture Firms
Why private AI: proprietary drawings, specifications, tender bids and project correspondence are competitive IP worth protecting.
Typical workflows: RFP and tender response drafting; specification searches across past projects; meeting‑minute summarization; standards and code knowledge bases; first drafts of technical reports and submittals.
Manufacturers
Why private AI: SOPs, quality records, maintenance history and engineering documentation represent decades of institutional knowledge — and it lives on‑premises today.
Typical workflows: SOP drafting and revision; quality‑incident report summarization; maintenance‑history search for technicians; supplier and spec comparisons; safety training material generation.
Government Contractors
Why private AI: procurement data and controlled information carry contractual data‑residency and security requirements that public AI services cannot satisfy.
Typical workflows: proposal and bid drafting; compliance‑matrix preparation; controlled document search with full audit logging; past‑performance library queries — inside a segmented, monitored environment.
Financial Advisors & Mortgage Brokers
Why private AI: client net‑worth statements, tax filings and compliance documentation are exactly the data public tools should never see.
Typical workflows: suitability report drafting; client review meeting preparation; compliance documentation checks; lender requirement comparisons; market‑update letters in your voice.
Your Practice
Don't see your industry?
If your business holds confidential data and repeats knowledge work daily, a private AI platform probably has a business case. The assessment takes two weeks and costs you nothing.