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
verified

Coinbase: AI spend cut nearly in half, and the biggest lever was caching, not cheaper models

In late June 2026, Coinbase CEO Brian Armstrong said the company cut internal AI spending by nearly half while token usage sat near a company high. The levers: an internal LLM gateway defaulting engineers to open-weight models (Zhipu GLM 5.2, Moonshot Kimi K2.7 Code), task-based routing, and caching that took LibreChat's hit rate from 5% to 60%. Independent analysis argues the caching gain, not the model switch, is what collapsed the bill. It is a CEO claim with no published per-lever breakdown, and the Chinese-origin models carry a live regulatory caveat.

Process Automation & AI-Led Ops
verified

Delivery Hero and n8n: account-lockout recovery automated in a single workflow

Delivery Hero's global IT service delivery team automated employee account-lockout recovery with one n8n Enterprise workflow: the employee's manager approves, and API calls to Okta, Jira, and Google restore access. Per n8n's case study, about 800 lockouts a month averaged 35 minutes each; automation cut the average to 20 minutes, 200 fewer hours locked out per month, with a 5-hour deployment. Every figure is vendor-published; the client's IT director is named and quoted.

Process Automation & AI-Led Ops
pending

Direct Mortgage and Multimodal: loan documents from 10-week closings to 5

Direct Mortgage Corp., a 29-year US residential mortgage lender, deployed Multimodal's AgentFlow (Document AI plus Decision AI) to classify and extract data from loan documents and automate parts of underwriting. Per Multimodal's case study, closing time fell from 10 weeks to 5, document backlogs fell from 1,199 (May 2024) to 4 (Jan 2025), cost per processed document fell 80%, and approvals ran up to 20x faster. Every figure is vendor-published; the client CEO is named and quoted.

Process Automation & AI-Led Ops
verified

Klarna's AI customer-service assistant: the 2024 numbers and the 2025 walk-back

Klarna's OpenAI-powered assistant handled two-thirds of customer-service chats in its first month (Feb 2024) and was said to do the equivalent work of 700 full-time agents, a modeled equivalence, not 700 layoffs. In 2025 CEO Sebastian Siemiatkowski said the cost-driven push had produced 'lower quality' and Klarna began re-recruiting human agents. Every 2024 efficiency figure originates with Klarna and is reported here with its source.

Open the full registry →

Proof beats marketing.

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