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Verified proof · Process automation & AI-led ops

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

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

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

Texas wins a $1.4B settlement from Meta over facial-recognition biometric capture — 2024

$1.4B settlement with the State of Texas (announced 30 July 2024), the largest ever obtained from an action brought by a single state
CUBI suit (filed February 2022) alleging non-consensual capture of facial geometry via 'Tag Suggestions' running facial recognition on virtually every face uploaded to Facebook
Payable over five years, first $500M payment due within about a month; Meta admitted no wrongdoing and had shut the system down in 2021
sources archived · method on record open the file →

01Why 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.

Verified before/after numbers from real engagements, with the client confirmed and the method on record.

for agencies

Proof beats marketing.

Turn a great project into a verified, 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.

02How 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.

step 01

Independently validated

We re-research the story and check every figure against primary and independent sources before it can go green.

step 02

Evidence on record

Every number is backed by something checkable: a followable source, before/after metrics, documentation. No adjectives.

step 03

Method published

How each story was verified ships on the story itself. The record is public, not a claim in fine print.

Read the full verification standard →

03Latest case files

The registry starts here. Each entry is one checked outcome, typed and tagged.

Process Automation & AI-Led Ops
pending

Babylon Health, the AI-first primary-care company, collapsed into bankruptcy in 2023 and sold its UK service for $620,000

Babylon Health marketed an AI symptom-checker chatbot as able to diagnose as well as doctors — it claimed 82 percent on GP-exam questions against a 72 percent doctors' average — went public through a SPAC merger with Alkuri (agreement dated June 3, 2021) and began trading on the NYSE in October 2021, then filed for Chapter 7 bankruptcy in Delaware in August 2023; its UK subsidiary went into administration and substantially all its UK telemedicine assets were sold to eMed for just $620,000 (£500,000).
Process Automation & AI-Led Ops
pending

ChatGPT wiped nearly $1 billion off Chegg in a day: the edtech's 49% stock crash in 2023 and its AI-driven 45% workforce cut in 2025

On 2 May 2023 Chegg's shares fell about 49% in a single day, wiping nearly $1 billion off its market value, after CEO Dan Rosensweig told the Q1 2023 earnings call that a spike in student interest in ChatGPT since March was hurting new customer growth. By 2025 the damage was structural: Chegg cut 248 roles (about 22%) in May and 388 roles (about 45%) in October, the latter attributed in an SEC filing to 'the new realities of AI' and lost Google traffic. Every figure is quoted verbatim from Chegg's own SEC filings and independent press.
Process Automation & AI-Led Ops
pending

Nature published AlphaFold3 without its code, and it took an open letter and six months to get it released

When Nature published Google DeepMind's AlphaFold3 in May 2024 it withheld the underlying code, prompting an open letter from hundreds and then more than a thousand researchers; six months later, on 11 November 2024, DeepMind released the AlphaFold3 code on GitHub, with the model weights restricted to noncommercial academic use.
Process Automation & AI-Led Ops
pending

A court declared a government fraud algorithm unlawful: the Dutch SyRI judgment

On 5 February 2020 the District Court of The Hague ruled that the Dutch government's SyRI (Systeem Risico Indicatie) welfare-fraud detection system was unlawful because its enabling legislation does not comply with Article 8 of the European Convention on Human Rights, the right to respect for private life. SyRI cross-linked personal data from municipalities, the employee-insurance agency, the social-security bank, the social-affairs ministry and the tax authority, ran a secret risk model over it, and flagged people as likely benefit, allowance or tax fraudsters — used since 2014 and, per freedom-of-information requests, applied primarily in low-income neighbourhoods. The court found the system insufficiently transparent and verifiable and declared Section 65 SUWI Act and Chapter 5a SUWI Decree to have no binding effect. The judgment, brought by a civil-society coalition (NJCM et al.) with a UN Special Rapporteur amicus brief, was one of the first anywhere to invalidate a welfare-fraud algorithm on privacy grounds.

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