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Public Benchmarks

AI Readiness Benchmarks for Founders 2026

Where do non-technical founders stand on AI adoption? Real anonymized data from Ideople's AI Audit, refreshed hourly.

Last updated May 13, 2026 · 1 audits in dataset

Ideople is collecting AI Readiness benchmarks from non-technical founders. 1 audits completed so far. Public benchmarks unlock at 50 submissions — be one of the early voices in the dataset.

Benchmarks unlock at 50 audits

We're at 1 completed audits. Once we cross 50, this page publishes average scores by role, score distribution, top recommended agents, and tier mix.

We'd rather show no number than a wrong one — small samples make biased benchmarks.

Take the audit — be in the dataset

Methodology

About this dataset

What is an AI Readiness Score?

An AI Readiness Score is a 0–100 index calculated from a 10-question audit. It measures four axes: readiness (comfort with automation tools), opportunity (hours currently spent on automatable tasks), fit (the tool stack and objections in play), and urgency (budget and desired outcomes).

How is the data collected?

Visitors take Ideople's free AI Audit at ideople.com/ai-audit. Each audit produces a score, a recommended tier, and a recommended agent stack. Aggregate statistics on this page are anonymized — no PII or free-text responses are exposed.

How often are benchmarks updated?

The dataset refreshes every hour. The last_updated timestamp shown above reflects the current cache snapshot.

Can I cite this data in a report or article?

Yes. Credit "Ideople — AI Readiness Benchmarks" with the URL ideople.com/ai-audit/benchmarks. The dataset is published under the standard Ideople terms.

Where do you land on the curve?

Take the 2-minute audit and contribute to the next benchmark update.