AI Transparency

AskBiz is an AI-powered platform. Every analysis, recommendation, and insight in the chat interface (/ask) is generated by AI. We do not disguise AI outputs as human-generated content.

Specifically:

• The AskBiz interface clearly identifies all chat responses as AI-generated
• The Daily Brief is labelled as AI-generated
• Anomaly alerts are identified as AI-detected
• Business Pulse score methodology is documented and explained
• No content is presented as coming from a human analyst when it comes from AI

Every AI response includes a confidence indicator reflecting how certain the AI is based on data completeness and recency:

• 🟢 High — Complete, recent, directly connected data. Generally reliable.
• 🟡 Medium — Partial data or data older than 30 days. Directionally useful, verify key figures.
• 🔴 Low — Limited data. Treat as a starting point, not a conclusion.
• 〜 Estimate — No directly relevant data. Based on sector benchmarks or inference. Label clearly if sharing externally.

This graduated transparency system reflects the ICO's guidance on explaining AI decisions and the EU AI Act's transparency requirements.

Under UK GDPR Article 22 and EU GDPR Article 22, you have the right not to be subject to a decision based solely on automated processing where that decision produces legal or similarly significant effects.

AskBiz is designed as a decision-support tool — not a decision-making system. AskBiz AI:

• Makes recommendations, not final decisions
• Always requires human review and sign-off before any action is taken
• Does not automate any consequential actions on your behalf (it cannot place orders, move money, or communicate with third parties)

If you use the AskBiz API to trigger automated workflows based on AI outputs, you are responsible for ensuring appropriate human oversight is in place where required by applicable law.

You can always ask AskBiz to explain how it reached a conclusion:

• 'How did you calculate that figure?'
• 'What data are you basing this on?'
• 'What assumptions did you make?'
• 'How confident are you in this analysis?'

These meta-questions are always answered honestly. If the AI used benchmarks or inference rather than your actual data, it will say so.