None of the workflows below are exotic. They are the everyday tasks that already happen, AI tool or not. The only question is whether the sensitive parts get a privacy layer before they go out.
1. Law firms & legal departments
Contract review, case summaries, legal memo drafting, NDA comparisons, client correspondence — the productivity gains are obvious, and so are the leakage paths. SOWA Privacy masks client names, opposing parties, contract and case numbers, addresses, court references, and other confidential legal facts before the prompt reaches the model. The AI gets the structure it needs to reason; the file room stays inside the firm.
2. Tax advisory
Explaining a tax office letter, drafting a client email, summarizing a complex case, building a document checklist — all valuable, all full of taxpayer data. The layer covers tax IDs, client names, income details, company records, bank data, and tax office references, so advisors can paste the entire letter into an AI tool without exposing the person behind it.
3. Accounting & bookkeeping
Invoice summaries, payment reminders, expense categorization, accounting questions, audit preparation. Masking vendor and customer names, IBANs, invoice numbers, tax IDs, payment amounts, and internal references lets a bookkeeper get a clear AI answer about a transaction without sending the ledger itself.
4. Healthcare, clinics & therapists
This is the category with the lowest tolerance for mistakes — and often the highest interest in AI for structuring notes, drafting patient-friendly explanations, and preparing follow-ups. SOWA Privacy hides patient names, dates of birth, insurance numbers, diagnoses, medication references, appointment data, and other health-record fields so therapy notes can be passed to AI tools without becoming a GDPR Article 9 problem.
A single prompt containing one patient name, one diagnosis, and one insurance number is, on its own, a regulated disclosure. The fix is not "use AI less" — it is "make sure those three values never travel."
5. Banking & financial services
Complaint summaries, KYC notes, AML documentation, audit prep, customer reply drafts. Regulated workflows benefit enormously from AI assistance, provided customer names, account numbers, IBANs, transaction references, loan numbers, addresses, and compliance case IDs are anonymized first. The auditor's question becomes much easier when the answer is "no customer record ever left a managed device."
6. Insurance
Claims summaries, policy explanations, missing-document checklists, customer replies, escalation notes. SOWA Privacy keeps policyholder names, claim and policy numbers, accident locations, vehicle plates, health information, and damage reports masked, so the case file can be summarized in seconds without the policyholder's identity riding along.
7. Public administration
Drafting citizen responses, summarizing applications, preparing internal memos, explaining forms, supporting permit and benefit workflows. The layer covers citizen names, addresses, permit numbers, application IDs, social benefit info, health or disability data, and official case numbers — categories that public-sector privacy officers specifically watch for in AI use.
8. HR & recruiting
CV summaries, interview question generation, candidate comparison, performance review drafts, employee communication. AI is a strong tool for all of these, and a fast way to leak candidate and employee names, salaries, contact details, addresses, absences, performance notes, and employee IDs. SOWA Privacy lets the recruiter or HR lead use the same AI features without exposing the people behind the records.
9. Consulting
Workshop summaries, strategy drafts, process analysis, proposal preparation, risk assessments. Consultancies live and die on client confidentiality. The layer masks client and project names, internal roadmaps, financial figures, strategic documents, employee names, and confidential processes, so an analyst can run a transcript through an AI summarizer without delivering the client's plans to a third party in the process.
10. IT, IAM & security
Summarizing IAM tickets, explaining access requests, drafting incident reports, preparing audit evidence, improving user communication. Engineering content is often dismissed as "non-personal," but usernames, employee IDs, IP addresses, hostnames, system names, access roles, group names, ticket IDs, and incident details together form a precise map of the infrastructure. SOWA Privacy masks that map before it ships.
The common pattern
Across all ten, the shape of the problem is identical: the document is mostly fine to share, except for a small handful of fields that turn it into a regulated disclosure. Removing those fields by hand is the kind of task humans do badly under time pressure, which is precisely when AI tools get used. Doing the removal automatically, locally, before the message is sent, is what SOWA Privacy is for.
Browse the full use-cases page for the side-by-side overview, or see how the anonymization layer actually works under the hood. When you are ready, install the extension and try it on the next document you would have hesitated to paste.