What does the disruption score actually mean?
The score (0–100) measures how much external pressure AI is placing on your organisation's business model — not how advanced your AI adoption is. A higher score means more disruption pressure. The score is calculated across eight weighted dimensions covering workforce replaceability, competitive displacement risk, digital exposure, market velocity, data advantage, switching costs, regulatory protection, and brand strength.
How are competitors identified?
Through live web search and our peer research pipeline. We identify organisations similar in size, industry, and business model, then extract signals of their AI adoption from current news, job postings, and web content. Named organisations appear in your assessment — not generic "market players."
What do the confidence tags mean?
Every finding carries one of three tags: Evidenced (verified from public sources such as financial filings, websites, or ABN records), Inferred (logically derived from available evidence), or Hypothesis (a reasoned assessment where direct evidence is unavailable). This transparency tells you what is verified and what needs your own validation.
How are the scores calculated? Can the AI just make up a number?
No. Our scoring model uses calibrated rubrics with hard boundaries for each dimension. A score above a given threshold requires specific evidence — for example, a workforce replaceability score above 7 requires evidence that more than 50% of the organisation's work is knowledge work. These boundaries prevent score inflation and ensure different organisations receive meaningfully different scores. The AI generates insight; it does not pick numbers.
Can I upload my own documents to sharpen the analysis?
Yes, with the AI Strategy Pack. Upload financial reports, existing strategies, org charts, or customer data files and the analysis uses your real numbers rather than estimates. Uploaded document text is automatically scanned and any sensitive identifiers (TFNs, BSBs, Medicare numbers) are stripped before AI processing occurs.