Alto FoundryRedactAIRedactAI · Human-in-the-loop redaction for healthcare
RedactAI helps healthcare organisations prepare sensitive documents for release, from FOI requests and medical records to legal, insurer and third-party disclosures. It automates the first pass of redaction and keeps a person in control of every final disclosure decision.
01 · The workflow
01
Upload referrals, discharge summaries, correspondence, emails and scanned notes. RedactAI reads text across digital pages, scans and handwriting, converting mixed files into a single indexed PDF binder.
02
Describe the disclosure rules in plain language, such as redacting patient identifiers or third-party contacts while keeping treating clinicians and facility names. RedactAI clarifies edge cases and marks up the whole project.
03
Reviewers inspect each proposed redaction alongside its reason, comment with colleagues on edge cases, and accept or reject marks before burning the final release into a flattened PDF.
02 · Context-aware review
Standard search tools struggle to tell a patient apart from a relative, colleague or treating specialist. RedactAI reads clinical context so third-party details are flagged while relevant clinical narrative stays intact.
A scan-and-review workflow takes reviewers straight to likely disclosure risks. Multiple team members can work in the same binder, tag colleagues in comments and track which documents are signed off.
03 · Built for healthcare release teams
Whether your Health Information Services, FOI or medico-legal team is releasing a single specialist report or a multi-hundred-page inpatient file, RedactAI adapts the output to match your disclosure obligations.
Clinical & third-party disclosures
Prepare medical records, specialist reports, subpoenas and insurer files. RedactAI proposes redactions with a clear reason, such as a partner’s contact details, a colleague named in workplace injury notes, Medicare numbers or signatures, and burns accepted marks to solid black.
FOI & statutory requests
Tag each redaction to its statutory exemption, such as s33(1) personal affairs of a third party, s35(1)(b) information communicated in confidence, or s25 irrelevant information. Exemption codes are burned directly onto the exported page, and RedactAI produces a matching schedule of exemptions for the applicant.
04 · Core capabilities
01
Works with scanned medical records, faxed referrals and handwritten progress notes, not only clean digital text.
02
Distinguishes patients, family contacts, bystanders and clinicians based on who the information concerns and how it appears.
03
Takes reviewers straight to likely disclosure risks with accept/reject controls, proposed reasons and document-by-document sign-off.
04
Burns statutory section citations onto the released page and generates the accompanying schedule of exemptions automatically.
05
Split a large combined PDF pack into separate documents and apply redaction rules across each one automatically.
06
Extensible redaction rules and exemption sets that can be tailored to your health service’s disclosure policies and state legislation.
05 · Private by deployment
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Deploys into your own cloud environment (for example Microsoft Azure), keeping patient and applicant records inside your boundary.
02
Reached through your private network path rather than a public multi-tenant endpoint.
03
Controlled through Microsoft Entra and your existing group assignments and access policies.
04
Accepted redactions and exemption tags are burned into the exported PDF, never left as removable annotations over live text.
06 · Express interest
What happens next
We review every request, and Andy will email you personally to arrange a walkthrough.
See RedactAI
Multi-format intake, context-aware first pass, exemption tagging and flattened export, deployed inside your own cloud.