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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

New York's financial regulator investigated the Apple Card algorithm for gender bias and found no unlawful discrimination

The NY Department of Financial Services found no unlawful discrimination, intentional or disparate-impact, in the Apple Card underwriting run by Goldman Sachs
The finding rested on regression analysis of underwriting data for approximately 400,000 New York State Apple Card applicants
The investigation was triggered by a November 2019 viral tweet reporting a credit limit 20 times higher for a husband than his wife despite joint filing
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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.

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03Latest case files

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

Process Automation & AI-Led Ops
verified

New York's financial regulator investigated the Apple Card algorithm for gender bias and found no unlawful discrimination

After viral November 2019 allegations that the Apple Card's algorithmic underwriting gave men far higher credit limits than their wives, the New York State Department of Financial Services analysed roughly 400,000 New York applicants and, in a March 2021 report, found no unlawful discrimination under fair lending law, while faulting Goldman Sachs and Apple on customer service and transparency.
Process Automation & AI-Led Ops
verified

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
verified

Korea's Fair Trade Commission fined Coupang 140 billion won over its search-ranking algorithm: 64,250 own-brand products pinned to the top and 72,614 employee-written reviews in 2024

On 13 June 2024 the Korea Fair Trade Commission fined Coupang 140 billion won (about $102 million), later raised to 162.8 billion won, and issued corrective orders for manipulating its search-ranking algorithm to keep at least 64,250 of its own private-label and directly-sold products at the top of results and mobilising 2,297 staff to post 72,614 reviews. The fine, corrective order and referral are quoted from the KFTC's own press releases and Coupang's SEC filing; the 64,250 products and 72,614 reviews are quoted from the KFTC's own English press release, corroborated by independent press (KED Global, The Korea Times, Kyunghyang Shinmun).
Process Automation & AI-Led Ops
pending

Massachusetts fined Earnest $2.5M over AI underwriting that penalised Black, Hispanic and non-citizen student-loan applicants (2025)

On 10 July 2025 Massachusetts Attorney General Andrea Joy Campbell announced a $2.5 million settlement with student-loan lender Earnest Operations LLC, resolving allegations that its AI/algorithmic underwriting models could disparately harm Black, Hispanic and non-citizen applicants: a 'Cohort Default Rate' variable that penalised Black and Hispanic applicants more than White ones, and a 'Knockout Rule' that auto-denied anyone without at least a green card. Every figure is quoted verbatim from the AG's own release and independent trade press.

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