Regulated industries, one harness layer
The same controls apply wherever data is sensitive. Each industry leans on a different mix of harnesses and answers to different frameworks.
Financial services
PCI DSS, SOC 2 aligned
Prove to auditors what data reached which model, before AI touches customer records.
The harnesses it leans on
- Zero-Trust partner file collaborationPartners view files through a controlled boundary, with RBAC and a tamper-evident log, instead of emailing copies around.
- Document classification at production scaleA rule engine assisted by a model classifies documents across thousands of types, with every reviewer correction feeding back into the rule library. Regression testing across projects catches drift before it reaches production.
- Reversible storage: soft delete, versioning and retentionAccidental and malicious deletions become recoverable instead of catastrophic: a soft-delete and versioning layer over cloud storage, with configurable retention, legal hold and WORM immutability where regulation demands it.
Insurance
SOC 2, GDPR aligned
Use AI on claims and policyholder data with clear limits on who and what can see it.
The harnesses it leans on
- Healthcare claims validation with a full audit trailProvider identities are checked against the national NPI registry and diagnoses mapped to ICD-10 codes automatically, with an agent cross-checking both before a claim is submitted. Every extraction, validation and decision is logged per claim.
- Contact-centre intelligenceEvery call is transcribed and analyzed for sentiment, intent and compliance flags, so supervisors and leaders work from evidence instead of gut feel.
Healthcare
HIPAA aligned
Keep patient data inside approved boundaries while clinical and operations teams use AI.
The harnesses it leans on
- Healthcare claims validation with a full audit trailProvider identities are checked against the national NPI registry and diagnoses mapped to ICD-10 codes automatically, with an agent cross-checking both before a claim is submitted. Every extraction, validation and decision is logged per claim.
- Contact-centre intelligenceEvery call is transcribed and analyzed for sentiment, intent and compliance flags, so supervisors and leaders work from evidence instead of gut feel.
Life sciences
GDPR aligned
Move research and trial data between partners under clear rules, with a record of every step.
The harnesses it leans on
- Zero-Trust partner file collaborationPartners view files through a controlled boundary, with RBAC and a tamper-evident log, instead of emailing copies around.
- Simulation-based preparation intelligenceAn AI pipeline extracts the real concerns from past records and simulates likely responses against a structured concern taxonomy, turning high-stakes preparation into a repeatable, data-driven framework instead of guesswork.
Retail and e-commerce
PCI DSS, GDPR aligned
Personalize and automate with AI while customer and payment data stays protected.
The harnesses it leans on
- Confidence-scored catalogue curationA model identifies and normalizes product data from raw signatures, but nothing ships without a confidence score and a human review path for anything uncertain. Hallucination and drift testing run continuously, so accuracy is measured, not assumed.
- Contact-centre intelligenceEvery call is transcribed and analyzed for sentiment, intent and compliance flags, so supervisors and leaders work from evidence instead of gut feel.
Manufacturing
Operational controls
Bring AI to plant and supply-chain data with dependable operation and clear oversight.
The harnesses it leans on
- Real-time tracking for physical assetsAssets that used to go dark the moment they left the building now report location continuously, with geofencing and automated alerts replacing phone calls and spreadsheets. One live dashboard covers the whole fleet.
- Document classification at production scaleA rule engine assisted by a model classifies documents across thousands of types, with every reviewer correction feeding back into the rule library. Regression testing across projects catches drift before it reaches production.
Government
FedRAMP aligned
Keep data in jurisdiction and every AI action on record for public-sector programs.
The harnesses it leans on
- File transfer on cloud storage, not local diskRoute SFTP and browser transfers to your own cloud storage instead of a server disk, with lifecycle tiering, role-based access and an activity log.
- Multilingual HR document processing with compliance trackingHR documents arriving in dozens of languages and jurisdictions get translated, structured and stored with full version history, with PII redaction applied by role. Compliance status across every jurisdiction shows up in one dashboard.
- Reversible storage: soft delete, versioning and retentionAccidental and malicious deletions become recoverable instead of catastrophic: a soft-delete and versioning layer over cloud storage, with configurable retention, legal hold and WORM immutability where regulation demands it.
Critical infrastructure
Operational controls
Adopt AI without opening new paths into the systems people depend on.
The harnesses it leans on
- Real-time tracking for physical assetsAssets that used to go dark the moment they left the building now report location continuously, with geofencing and automated alerts replacing phone calls and spreadsheets. One live dashboard covers the whole fleet.
- Zero-Trust partner file collaborationPartners view files through a controlled boundary, with RBAC and a tamper-evident log, instead of emailing copies around.
Across industries
Patterns that apply wherever AI meets sensitive data.
- AI-driven connector builder with human approvalBuild data connectors from natural language instead of hand-written code, with a human approving the extraction scope and schema before anything runs. Every connector, transformation and output is versioned and traceable.
- AI-ready data pipelineMessy, inconsistent data from dozens of source systems gets profiled, validated and mapped to a canonical schema on the way in, with full lineage and a data-quality dashboard. Models train on clean, consistent data instead of whatever happened to arrive.
- Give your chatbot a harness before you give it your knowledge baseA chatbot that can say anything is a liability. One that proves what it said and why is a tool.
- AI agent evaluation in your own tenantCompare vendors on the same data under one audit trail, without handing files out.
- AI-assisted assessment grading with human overrideHandwritten and typed answers are digitized and scored by a model, with every score reviewable side by side against a human override before it counts. Grading that took days happens the same day.
Framework names describe alignment, not certification held by Zapper Edge.
Working in a regulated industry?
Tell us your frameworks and data. We will show you which harnesses fit.