LorvexAI

Blueprints

How I'd architect controlled AI systems

These are the reference architectures I sketch out when I'm thinking through how AI should work inside regulated environments — retrieval governance, supervised agent workflows, evaluation, and evidence-oriented design. Concepts, not products: synthetic data, human review built in, nothing autonomous.

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Retrieval governanceSupervised agent workflowsEvaluation & monitoringEvidence-oriented designHuman-reviewed outputs

Reference Blueprints

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Select a blueprint to explore educational architecture, data flow, and controlled usage patterns. These are not products for sale or implementation offers.

Regulatory Intelligence Blueprint

Public regulation text to reviewable obligation candidates

An educational reference architecture for turning public regulatory text into structured obligation candidates, control-mapping drafts, and evidence-pack templates. Outputs require human validation and do not constitute legal or regulatory advice.

LorvexAI reference blueprints, diagrams, screenshots, and conceptual examples are educational materials only. They are not products for sale, client prototypes, consulting deliverables, production banking systems, compliance engines, regulatory reporting engines, clinical systems, medical devices, model validation systems, or regulated decision systems.
app.lorvexai.com/regulatory-intelligence
DashboardObligationsControlsEvidenceReports
Synthetic demo data - illustrative only

2,847

Obligation Candidates

2,401

Draft Mappings

127

Review Gaps

94%

Template Coverage

RefCandidateStatusEvidenceRisk
Public Framework AModel Risk Governance PolicyDraftTemplateHigh
Public Framework BCapital Adequacy BufferDraftTemplateHigh
Public Framework CConsumer Outcome TestingReviewPendingMedium
Public Framework DOperational Resilience TestingDraftTemplateMedium
Public Framework EDisclosure and Reporting TemplatesGapMissingHigh

Sources

Public source A847
Public source B612
Public source C394
Public source D231

Review Window

Synthetic timeline

Reference Architecture

flowchart LR
  A["Public regulatory text"] --> B["Clause and obligation candidate parser"]
  B --> C["Control mapping draft"]
  C --> D["Evidence-pack templates"]
  D --> E["Internal reviewer workflow"]
  E --> F["Human validated output"]
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