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Notes on document intelligence, fraud detection, and governed AI

Practical writing from the team building Techies Universe: how automated document checks work, where AI helps, and where deterministic math beats it.

3 articles so farWritten by the buildersMath shown, not hand-waved
FraudDocument ForensicsHow tampered reports, bills, and IDs fail under automated checks.
KYCIdentity ValidationCheck digits, MRZ math, and what deterministic checks can prove.
RAGGoverned RetrievalAccess, versions, and citations for AI over enterprise documents.
OpsRollout PracticeReview queues, thresholds, and measuring quality before scale.

All Articles

Newest first. Each one is written from production experience, not from vendor summaries.

Fraud detection

How Insurers Detect Tampered Lab Reports

Forged lab reports fail in predictable ways: impossible values, arithmetic that does not reconcile, and metadata that contradicts the paper trail. A practical tour of automated tamper detection.

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Identity verification

Aadhaar Checksum Validation, Explained

Every Aadhaar number carries a Verhoeff check digit that exposes invented or mistyped numbers instantly — no API call required. How the algorithm works and what it can and cannot prove.

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Enterprise AI

What Is Governed RAG?

Retrieval-augmented generation gives AI access to your documents. Governance decides which documents, for whom, with what evidence. Why the difference matters in regulated enterprises.

Read the article

How We Write

Three rules every article follows, so the reading is worth your time.

Deterministic first

Where arithmetic or a check digit settles a question, we show the math before reaching for a model.

Tested on real documents

Examples come from document types we process in production: lab reports, IDs, policies, and invoices.

Limits stated plainly

Every claim about what a check can or cannot prove is written out, including where it stops being useful.

Who reads this
  • Claims and underwriting leads reviewing medical and financial documents
  • KYC and onboarding teams validating identity documents at volume
  • Platform engineers evaluating retrieval over enterprise documents
  • Risk and compliance reviewers who need every answer cited
In the writing queue
  • Passport MRZ check digits and what they catch
  • PAN format rules and issuer checks
  • Reading a document-AI confidence score honestly
  • Designing a review queue that reviewers actually clear
Want one of these first? Tell us on the contact page.

Want these checks running on your documents?

The checks described in these articles ship in Insurance AI and Document Intelligence today. See them on your own samples.