Six questions · roughly 20 minutes

Answer honestly. The report is only useful if you do.

Six questions about your company. Each has a 1–5 scale and an optional short-answer box. You do not need to be a data scientist; the questions are about how your business runs, not how your AI stack is built. The short-text answers are not scored. They shape the report and, if you opt in, feed the anonymised aggregate analysis.

Question 1 of 6 · Who makes the judgment calls today

Which specific people in your company make the judgment calls that AI would be taking over?

Good managers do not just process information: they decide what matters and what to ignore. Identify the three to five people whose experience is hardest to replace. If you cannot name them, you do not yet know what the AI is actually going to take over.

Optional: name them (first names are fine) and note what each one knows to ignore on purpose.

Question 2 of 6 · How reliable is your data

How much of the data you would feed the AI is actually reliable, and how much is distorted?

Most companies have a mix. Sales forecasts are usually massaged. Support tickets tend to be honest. Internal productivity metrics get gamed. Customer renewals rarely lie. An AI trained on distorted inputs makes confident, wrong recommendations, faster than any dashboard will reveal.

Optional: name the three cleanest data sources you have.

Question 3 of 6 · Do you measure outcomes

When your team makes a decision, do you consistently measure whether it actually worked?

If the AI recommends something and nobody measures whether it helped, the system cannot improve, and you will not know it is degrading until quarterly numbers force the conversation. Name one class of decision where you can follow the full path today: recommendation → action → measured outcome.

Optional: which one decision class currently has outcome measurement?

Question 4 of 6 · Your unique understanding

What is your company uniquely good at knowing that your competitors are not?

AI is a cost-efficiency play for companies with no unique understanding of their own business. It is a growth play only when AI can compound on something you already know better than anyone. State that understanding in one sentence. If you cannot, your AI project is a cost story, not a growth story.

Optional: state it in one sentence.

Question 5 of 6 · What kind of business are you

In terms of how your company creates value, which category fits best?

Each type of business runs a different risk when it implements AI. We will tailor the failure-mode warning in your report to your pick.

Data-rich business

We see every transaction, click or usage event ourselves. Fintech, marketplaces, payments, consumer SaaS with heavy telemetry.

Complex operational business

Regulated industry with complex processes and entities. Financial services, healthcare, logistics, defence, enterprise industrial.

Document-heavy business

Our value sits in conversations, proposals, reports and specifications, not in transactions or structured records.

Knowledge-work business

Consulting, agency, law, research, mid-market B2B. Some documents, some records, and measurable client outcomes on engagements.

Optional: a single sentence on why you picked this one.

Question 6 of 6 · Who draws the line

Who in your company has the authority to say "no, the AI should not be deciding this"?

Every AI implementation faces the choice between letting the model decide and keeping a human in the loop. That line has to be drawn by someone senior enough to make it stick. Without a named owner, whoever ships the feature fastest draws the line, usually in the wrong place, and often without realising they have drawn it.

Optional: name the role (e.g. "Chief Risk Officer", "VP Operations"), and describe the authority they have.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

Where does AI stand in your company today?

Not in use yet

Experiments and prototypes

In production, limited scope

Scaled across core processes

What happens to your AI budget over the next 12 months?

No budget planned

Increasing

Staying flat

Decreasing

Prefer not to say

What is the primary promise behind your AI initiative?

Cost reduction

Growth and new revenue

Board or competitive pressure

Risk and compliance

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.

Company size Sector (optional)

Your corporate email required

We do not accept Gmail, Outlook, GMX, etc. Use your company domain.

Anonymised answers feed aggregated public statistics (groups under 8 respondents are never shown); your email is deleted after confirmation. From your company domain we derive an anonymous company classification (industry, never the person). Details: Datenschutz.

I agree that my anonymized answers (without my email or company name) may be used in Thorsten's published analysis of how companies think about world-model readiness. Tell me when new assessments or question modules go live. One email per launch, opt out any time with one click.