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Curious about the build?

Questions and feedback about the showcase are welcome — the architecture, the methodology engine, the exhibits, or the project itself. No services are offered or sold through this site, and writing to us creates no engagement, no professional-client relationship, and no obligation on either side. We issue no audit opinion, assurance, or attestation.

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What to expect

  • Replies come from the people who built the platform
  • Nothing else — no proposals, no follow-up sequence, no obligations in either direction

How the demonstration platform handles data is documented on Security; the full site notice is on Legal & Privacy.

§ 01   What the reference build demonstrates
  1. 01

    A real control library

    37 ITGC control templates spanning Access, Change, Operations, and Security, each with attributes, QC rules, exception guidance, and a narrative skeleton — instantiated per engagement through 8- and 9-step gated workflows.

  2. 02

    Evidence-first AI, gated

    Each sample is tested against each control attribute with confidence scoring and full provenance; missing evidence = INCONCLUSIVE, no guessing. Lock is blocked by multiple automated gates — AI review, QC acknowledgment, coverage.

  3. 03

    A single workpaper

    One HTML document: 13 numbered sections plus a legal-disclaimer preamble and a table of contents, with a CONFIDENTIAL watermark, plus two CSV side-exports — an Evidence Index (with SHA-256 hashes) and Testing Results.

Everything above is shown working on the platform page’s exhibits. AuditSenior.com issues no audit opinion, assurance, or attestation — and offers no services.

§ 02   Conversations we enjoy

About the engineering

How the deterministic sampling reconstructs from its seed, why the audit trail refuses mutation at two layers, how the evidence-first rules keep AI honest, what FORCE row-level security actually buys — the mechanics documented across this site are all fair game.

About the idea

Whether practice-shaped audit software makes sense, where the showcase’s thesis holds or breaks for other methodologies, and what an auditor would want done differently. Disagreement is as welcome as curiosity.

Either way: no sales motion follows. This site offers nothing for sale.

§ 03   How your data is handled
Data-handling summary
USHosted in Vercel's US East region (iad1, Washington, D.C. area); platform data on Neon PostgreSQL in AWS us-east-1 (N. Virginia); evidence files in Vercel Blob via tenant-scoped paths
AIAnthropic Claude; platform data is not used to train models, and API logs are retained, per Anthropic's commercial terms
RLSPostgreSQL row-level security with session-bound tenant context; cross-tenant reads blocked at the database engine
LIFEContact-form messages are used solely to respond; tenant data can be exported and deleted at will, and no retention obligation is assumed on anyone's behalf

Eight named sub-processors deliver the platform. See Security and Sub-processors & privacy.

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