SpatzAI is a self-managed accountability and moderating system for workplace teams. It works inside the SpatzChat app, when needed, staying lightweight and proportionate, while keeping a structured 3-step sequence in the background to address one-off behavioral breaches before they expand into larger disputes.
The model uses three clear stages:
(0) Verbal Caution, where a team member flags a single behavior (usually related to one being dogmatic and using “I am right, you are wrong” rhetoric, and seeks an acknowledgment of this unfair behavior.
(1) Formal Caution, documented in the SpatzChat app, requesting an acknowledgment. If the caution is challenged or ignored, then…
(2) Formal Objection, using the chat app, and where a simple apology is now required. Again, if not forthcoming…
(3) Formal Stop, where an acceptable apology is required and triggers the team-assisted AI review, while their team and AI provide open feedback. If still unresolved, the chat app data is forwarded to the organisation’s more serious conflict resolution process.
This approach reframes accountability as a learned team skill rather than a punitive process. SpatzAI moderates micro-conflict in real time by nudging participants toward resolution without visible policing, avoiding retaliation cycles and creating measurable KPIs such as time-to-acknowledge and resolve.
The system captures friction data in its natural context, producing structured, crowdsourced behavioural learning signals that improve team collaboration, reduce conflict costs, and generate high-quality, auditable datasets for future organisational intelligence.
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