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It’s not enough for AI to be accurate, it needs to get used safely and effectively.
This free toolkit helps product, design, and governance teams design better ways to ensure AI is used safely in real workflows.
AI systems don’t fail in theory. They fail in practice, when behaviour drifts.
The AI Behaviour Toolkit reveals these hidden risks and shows you how to control them.
AI has the power to change the way we work, even when the technology works perfectly. The real risk is behavioural, and few organisations are even looking. Automation bias, skill degradation and trust erosion emerge quietly, eroding performance and creating risk. The AI Behaviour Toolkit helps you spot these behavioural drifts early, and design controls that stick.
Toolkit Contents
Toolkit Contents
The AI Behaviour Toolkit includes everything you need to identify, evaluate and manage your behavioural AI risk in real workflows.
Four key components guide teams from theory to practice
Four key components guide teams from theory to practice
Impact Assessment
Explore how user behaviour can break down and create risk.
Behaviour Design
Define good behaviour, identify the risks, and co-design the controls.
Signals Library
A collection of the most common behavioural patterns that signal behavioural risk.
Experiment Lab
A structured approach to validate behavioural controls in real workflow
Start anywhere. Scale everywhere. Free, open, workshop ready.
Use Cases
Use Cases
The AI Behaviour Toolkit helps product designers, ML engineers, and risk managers ensure that AI enabled systems are being used safely and effectively.
Make Behavioural AI Risk Visible.
Quantify It.
Govern It.
Using the AI Behaviour Toolkit in different AI contexts
Using the AI Behaviour Toolkit in different AI contexts
Agentic AI
Agentic AI
Establish clear boundaries for agentic AI behaviour.
Risks include unchecked actions, misinterpreted goals, and missed human oversight.
Next Best Action
Next Best Action
Define expected decision making and accountability.
Risks include over reliance, blind acceptance, and failure to escalate.
Help Desk
Help Desk
Set clear guidelines for expected use and workflow integration.
Risks include misuse, ignored advice and shadow workflows.
Fraud Detection
Fraud Detection
Clarify expected responses to alerts and escalation pathways.
Risks include alert fatigue and misinterpreted signals.
Manage behaviour. Reduce exposure. Strengthen performance.
Coming Soon
Coming Soon
Toolkit launching Q3 2026. Join the waitlist for first access.
Toolkit launching Q3 2026. Join the waitlist for first access.
What you'll get first:
Access to the Miroverse for all workshop templates
14 Behavioural Risk Signal cards (printable PDF)
Quickstart guides and facilitator packs
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