OneTrust starts at $50K and a 4–12 week rollout. If you're the 50-person company with real regulator exposure and no privacy department, you've had nowhere to land.
PrivacyAutomated.ai runs the daily privacy work — inquiries, DSARs, DPIAs — with a citation on every answer. Self-serve, live in an afternoon. Underneath it: an audit log nothing can edit, statutory deadlines computed for 109 jurisdictions, and evidence a regulator can verify themselves, no account required. Built by people who ran on OneTrust through three buying cycles before rebuilding the engineering underneath. See the engineering invariants →
14 days of Growth on us · No credit card required · Drops to Free after, your data stays
Running privacy for multiple clients? See the consultant & fractional-DPO view →
Three things you can verify today, not promises
Built for the frameworks your team answers to
Three things drove this product:
We benchmarked the AI pipeline against commodity RAG on a current frontier model across five axes and published every null result. The product isn't AI theater — the AI is bounded by structural invariants the buyer can verify. The engineering is the moat.
One platform to discover data, automate requests, and prove compliance.
Most of a privacy team’s day is requests and questions. This is the part that eats the hours.
A privacy and security team’s day is mostly inbound — “can we use this vendor,” “does this need a DPIA,” “is this a DSAR” — and most of it is answerable from existing policy, if someone has the time to find the citation. We triage that inbox into grounded, cited answers, escalating the low-confidence ones instead of guessing — the daily time sink, not the once-a-quarter set-piece.
Intake, verify, and fulfill data subject access, deletion, and correction requests end-to-end — every step audit-logged.
A branded, public-facing form your customers and end-users submit privacy requests to. Verification email, per-jurisdiction deadline math, and append-only audit trail wired in — no developer work to embed.
When a deletion request collides with a retention obligation, or a litigation-hold marker meets an Article 17 deletion right, the AI surfaces the tension — citing only from a curated corpus of statutory text — and lands a draft on your privacy lead’s desk to sign off. It describes, never concludes — and a qualified human signs off before anyone acts on it.
The request a customer dreads becomes a branded, verifiable experience — the part they remember. Your name on every public page, not ours.
One branded page where your customers make a request, ask a question, and read your privacy notice and Trust Center — your logo, your colour, your company name on every public page, not ours. The compliance obligation everyone hides becomes a trust touchpoint your customers actually see.
When you complete a request, the person who asked gets a plain-language, cryptographically-signed receipt — what was done, and when — with no personal data on the page. They, or a regulator, confirm it’s authentic and unaltered themselves at our public verifier, no account needed. The proof a consumer privacy app can’t produce, because it isn’t on the company’s side of the request — you are.
The artifacts a regulator asks for, drafted from your own policies and vendor list, with a human approving every one.
Draft DPIAs against Article 35 structure — screening, scored risks, mitigations — grounded in your own policies and vendor list. You review and approve every section before it leaves the system. When a DPIA settles, the AI auto-drafts the assessments it implies — a Transfer Impact Assessment for international transfers, a Legitimate Interests Assessment where that’s your basis — for you to sign off.
Build your GDPR Article 30 register from approved PIAs — schema-enforced field set, controller/processor roles, AI gap autofill with citations, vendor linking, versioned snapshots, and one-click CSV or PDF export for regulator requests.
Add a vendor by URL and the AI reads their public privacy, trust, and DPA pages to pre-fill the record — every suggestion quoted and sourced for you to review before it saves. Each vendor gets an explainable High / Medium / Low risk tier, automatic review reminders as they come due, and hosted due-diligence questionnaires vendors complete themselves, with concerning answers flagged.
Keep an inventory of every AI system you build or use. The AI classifies each against the EU AI Act, names the obligations it triggers, and drafts the paperwork those obligations require — Annex IV technical documentation, Article 50 transparency notices, Article 27 Fundamental Rights Impact Assessments — seeded from your existing DPIAs, RoPA, and vendors, and editable in-app to a final version. Record the models behind each system; if a model version or a vendor’s terms change, the affected classification is flagged for re-review. A human signs off the risk tier before it counts.
Compliance rots quietly. These keep your records honest as vendors, regulations, and your own stack change.
When a vendor changes its sub-processor list, its DPA expires, or you update a RoPA entry the assessment depends on, an amber staleness signal appears on every affected DPIA and RoPA row. Acknowledge or dismiss with a reason — both decisions write to the audit chain so “we re-reviewed when X changed” is provable, not asserted.
When a regulation changes, see exactly which of your records it hits — the specific RoPA entries, assessments, vendors, and documents — instead of re-reading everything. Each hit comes with a drafted fix for a human to approve, so nothing silently goes out of date.
Upload a SaaS or expense export and the AI surfaces the vendors you’re actually using but haven’t inventoried yet — deduped against what you already track, each ready to review and onboard in a click. The gap between your register and reality, closed.
A single control over everything the AI can do on its own. Set each task to off, suggest, or automatic — and see (and undo) every autonomous action in one ledger. Start with the AI suggesting, dial up what you trust, keep the rest on a human’s desk.
When someone asks you to show your work — an auditor, a regulator, after an incident — hand them proof, not assurances.
Every AI-authored output that could become a regulatory record — a conflict flag, a DPIA recommendation, an AI-system risk classification — lands in a review queue and isn’t authoritative until a named person signs it off. The AI drafts and cites its sources; a human decides. Nothing the AI writes becomes a decision on its own. How sign-off is enforced →
One click turns a closed DSAR — or a DPIA, a RoPA snapshot, an AI-system classification — into a sealed record you hand to a regulator or auditor. They confirm it’s authentic and unaltered themselves at our public verifier, no account required. Prints to PDF for the binder, too.
Reconstruct what your privacy program looked like on any past date — which DPIAs, RoPA entries, and policies were in force the day of an incident or audit — and seal that snapshot as a record you can hand to a regulator. Answer “what did you know, and when” with a document, not a guess.
When something goes wrong, open a war-room and the notification clock starts the moment you mark awareness. The AI drafts the regulator and data-subject notices from the facts you enter; a human signs off before anything sends. Countdown reminders keep the deadline in front of you, and the whole incident closes into one sealed record.
When the platform escalates something that needs a human — a novel jurisdiction question, a contested DSAR, a DPIA you want a second set of eyes on — the same practitioners who built this will take it. Not a generic consulting retainer; the people who ran these programs in-house.
No professional-services project. No six-month rollout.
Securely link your policies, procedures, contracts, and notices. Read-only by default, least-privilege always.
Your linked policies become a per-tenant retrieval store. Inbound questions are answered with citations to your own documents.
Inquiries and requests get cited responses or escalate to your team. Every action is written to the audit_events table — a schema-level trigger prevents UPDATE and DELETE, including by the table owner.
Mini-tools we open up to everyone — not just customers. No sign-up, no email gate, no tracking cookies. Each one runs entirely in your browser.
Pick the regulation and the date you received the request. Get the response deadline, the article citation, and the days remaining — with the extension rules where they apply.
Generate a fully-formed sub-processor change notification email that satisfies your DPA's notice clause. Copy-paste-ready, dated, with the 15-day objection window stated explicitly.
Ready-to-use Data Protection Impact Assessment aligned to GDPR Article 35 and ICO guidance. Tables for data categories, recipients, and risk scoring. Download as Word .docx or open in Google Docs.
Guides for the privacy work itself, and honest comparisons with other tools in the space.
Watch a privacy request flow through PrivacyAutomated — from inbox to compliant resolution.
A privacy inquiry lands in your inbox.
Classified, prioritized, and escalated to the configured owner.
A compliant response is sent, every action audit-logged.
Tune the sliders. We'll show the upper bound — what you spend today on requests we cite or escalate. Your real savings depend on your pilot.
We don't claim a fixed handling rate. Pick a coverage you'd find acceptable; your pilot tells you the real number.
Start free. Upgrade when you're ready. Cancel anytime.
$0/mo
Run a small privacy program for real — free forever, no card.
$99/mo
Compliance basics — AI-assisted DPIA drafting + DSAR routing with per-jurisdiction deadlines.
$299/mo
Team & external workflows. The sweet spot for most SMBs.
$999/mo
Privacy ops at scale. SSO, audit export, custom limits.
Every signup starts with a 14-day Growth trial, no card required — try DPIA, DSAR, and vendor research before you decide. After the trial your workspace drops to the Free plan caps unless you pick a tier; your data stays either way. All plans include real-time LLM spend tracking, full audit trail (append-only), Postgres RLS-enforced multi-tenancy, and automated daily backups. Cancel anytime.
Running privacy for multiple clients? Consultants & fractional DPOs get consolidated billing — $49 per client seat / month, one bill, every covered client on Growth. Start free with up to 3 clients. See the consultant view →
An AI op is a single agentic response — a Q&A answer grounded in your documents, an automatic DSAR classification, a vendor-research lookup, a DPIA section generation, or a triage decision. Browsing your data and editing workflows in the app are free.
You'll see a soft warning at 80% of any limit in the app and an email at 90%. We don't auto-charge or silently throttle. If you blow past a cap, your workspace pauses new AI ops (existing data and exports stay accessible) until you either upgrade or wait for the monthly reset. The in-app upgrade screen previews the next-tier cost so there are no surprises.
Yes. Upgrades take effect immediately and are pro-rated for the days remaining in the current cycle. Downgrades take effect at your next renewal so you keep what you paid for. Annual plans are pro-rated the same way for mid-term upgrades.
Every Growth feature — automated DPIA & PIA generation, the full DSAR workflow with verification, AI vendor research (Trust Center + CSA STAR fetching), risk-owner accountability emails, and the Growth-tier limits. No credit card required. After 14 days your workspace drops to the Free plan caps unless you pick a paid tier; your data stays either way.
Annual billing is on the roadmap and will save you the equivalent of two months. Nonprofit and academic discounts are evaluated case-by-case — drop us a note at info@privacyautomated.ai.
Each client is its own isolated workspace. Run up to 3 clients on the free floor; beyond that, buy a seat per client from the in-app Clients screen at $49 per client seat / month — one consolidated invoice, and every covered client runs on the Growth plan. Add or remove seats anytime. See the consultant view.
You don’t run a privacy program. You run a dozen. PrivacyAutomated is built for that shape: every client gets its own isolated workspace, you stand up a new one in a click, and you see your entire book on a single board. Live today — start free.
A separate workspace per client — its own documents, DSAR portal, RoPA, branding, billing, and audit trail. One client’s data is never co-mingled with another’s. Isolation by design, not by policy — defensible when a counterparty asks.
Type the company name and you have a working privacy workspace — its own branded request portal and deadline engine, ready in seconds. No setup project, no onboarding call. Start any client on Free, so spinning one up costs nothing.
One dashboard across every client: who has open requests, whose deadline is next, what’s overdue. Status only — counts and deadlines, never your clients’ personal data. Triage your portfolio in seconds, then click straight into whichever client needs you.
Consolidated billing, live today: pay $49 per client seat / month and every covered client runs on the Growth plan, on a single invoice. Run up to 3 clients free, then add seats as your book grows — from the in-app Clients screen, no sales call.
Start your first client free → See the consultant view
Every client is its own isolated workspace — one-click setup, a cross-client dashboard, and consolidated billing are all live today. Consolidated billing is $49 per client seat / month (every covered client on Growth, one invoice); start free with up to 3 clients before you add a seat.
No. You upload your privacy and security policies as documents, configure your vendor inventory in the app, and DSARs come in through a hosted public form or via email. There is no required integration with your production database, application, or backend systems.
109 jurisdictions encoded with statute citations: GDPR (30 EU/EEA states + UK + Switzerland + Crown Dependencies), 19 US state laws (CCPA/CPRA + VCDPA + CPA + 16 others), LGPD, PIPEDA, PIPA, APPI, and 60+ more across Asia-Pacific, Middle East, and Africa. Each row has a statute section and source URL. 85 are high-confidence; 24 are queued for legal review. The DSAR engine computes the deadline from the typed table rather than reading it out of policy text. Full list and source: Trust Architecture.
Most teams upload their first policy documents, configure their vendor list, and run their first DSAR or Q&A within a single afternoon. No professional services engagement required.
Tenant isolation is enforced at the Postgres layer (FORCE ROW LEVEL SECURITY on every tenant table); a forgotten WHERE clause cannot leak data — the database itself rejects the query. We also follow data minimization, encryption at rest and in transit, and least-privilege access throughout the platform. Full engineering invariants in our Trust Architecture.
14 days of Growth on us — try DPIA drafting, DSAR routing, vendor research, and risk-owner workflows with no card.