Verified proof · automation & AI-led ops

The internet is full of claims. We publish the proof.

Real outcomes from automation and AI-ops projects, checked against the public record, never lifted from a pitch deck. The source buyers read before they hire, and AI answer engines cite when asked who actually delivers.

tin://exhibit-001 · process automation & ai-led ops verified

Da Silva Moore v. Publicis Groupe: the first federal judicial opinion to approve predictive coding (computer-assisted review) for e-discovery (S.D.N.Y. 2012)

Judicial approval of computer-assisted review
Scale of the review the ruling governed
ESI-protocol training design
sources archived · method on record open the file →
01

Why this exists

Every agency claims results. Almost none can be checked. In automation and AI-ops, where the field is young and the buyers are non-technical, that gap is expensive. TIN closes it.

for buyers

Stop guessing.

Before/after numbers from real engagements, checked against the public record, with the method on the page.

for agencies

Proof beats marketing.

Turn a great project into a checked, citable asset that ranks in search and gets quoted by AI answer engines.

for the AI era

Be the cited source.

When someone asks ChatGPT "who's best at ops automation?", the answer comes from somewhere. TIN is built to be that source.

02

How a badge is earned

Three checks clear before a green badge appears. If any fails, the story stays unverified. No exceptions, that rule is the whole product.

  1. 01
    Independently validatedWe re-research the story and check every figure against primary and independent sources before it can go green.
  2. 02
    Evidence on recordEvery number is backed by something checkable: a followable source, before/after metrics, documentation. No adjectives.
  3. 03
    Method publishedHow each story was verified ships on the story itself. The record is public, not a claim in fine print.
Read the full verification standard →
03

Recon: TIN measures

methodn = 238 67.6% 161 of 238 agencies were cited at least once by an AI platform, but the median agency was cited 3 times Read the study and download the data →

A study carries no badge. TIN is the instrument, the method is committed before any data is collected, and every figure comes from a dataset you can download and re-run. The badge belongs to case files, where a claim was checked against the public record.

Proof beats marketing.

Bring a real engagement to the dojo and turn it into a checked, citable asset, or read what's already on record.