/ RESEARCH LIBRARY · PUBLISHED EVIDENCE

AI at work.
Context included.

What changed, what was reported, what people still controlled, and what the evidence cannot prove. These case studies were developed by dotSuper and its founders through applied AI work with participating businesses.

RELATIONSHIPPublished cases, not a dotSuper client list.

These case studies were developed through applied AI work led by dotSuper and its founders. Unless stated otherwise, outcomes are organisation-reported or estimated and have not been independently audited.

/ THE LIBRARY

Three cases.
No borrowed certainty.

Each analysis separates the operating constraint, intervention, reported outcome, human control, deployment status and limitation. That makes the example useful without pretending it is universal.

/ OUR EVIDENCE STANDARD

Useful claims need
useful boundaries.

01

Record beside the claim

Every case names the relevant record pages and keeps the operating context beside the reported outcome.

02

Reported is not verified

Company-reported and estimated figures stay labelled. We do not convert them into dotSuper results.

03

Limits stay visible

Every page explains what the available evidence cannot establish and what a similar business should test.

/ RESEARCH CONVERSATION · 30 MINUTES

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