The Agentic Analytics Stack

A layered system, each layer fixing a specific failure mode.

  1. Layer 01

    Data Foundations

    Canonical, heavily-governed single-source-of-truth datasets. Standards are enforced through tooling, CI checks and mandates, with metadata (descriptions, definitions, lineage) treated as a first-class product.

  2. Layer 02

    Sources of Truth

    A semantic layer of compiled metric definitions, a lineage graph, a distilled query corpus and a business knowledge graph — governed answer keys the agent can rely on.

  3. Layer 03

    Skills

    Procedural knowledge encoded as markdown folders Claude reads on demand. Adding Skills lifted aggregate accuracy from 21% to 95%+.

  4. Layer 04

    Validation

    Offline evals, ablation testing and online safeguards — adversarial review, provenance footers, data-quality checks and automated correction harvesting.

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