fat-tails.io - towards a deeper understanding of project success in the Atlassian eco-system. Solutions and apps that motivate new thinking and support improved success rates.

Strategic experiments in AI Governance, Delivery Automation, and Closing the "Observation-to-Action" Gap.

A "fat tail" is a probability distribution where extreme, outlier events occur more frequently than would be expected under a standard bell curve (normal distribution). The "tails" of this distribution are fatter, indicating the probability of catastrophic loss or massive gain is significantly higher.

In large-scale delivery, the greatest risk lives in the gap between high-level strategy and engineering reality. This organization serves as a Validation Lab for ideas on how to govern new technology at scale.

New teammates will include AI agents, here you will find research that explores the discipline of closing the 'observation to action' gap across modes and products. At fat-tails.io we see plenty of reason for optimism and benefit for companies of all sizes. We explore ideas about how to govern them, through monitoring and increased transparency, we sharing these ideas here and in other public forums (ai-tracing).

The repositories explore deeper and improved collaboration across business functions with thoughtful integration ideas, because forensic understanding of root causes in project failure (and their avoidance) lead to improved overall success rates.

• fat-tails.github.io - 🚧 UNDER CONSTRUCTION 🚧

• ft-tracklink : highlighting value from physical and visual domains, an integration in Formula 1 racing, an Atlassian Forge-based engine for linking visual coordinates to governed work items. Originally prototyped using motorsport GeoJSON, technqieus may be broadly applicable in sectors with "physical -> visual" mapping requirements
• ft-atl-ai-tracing : Research and prototypes presented at ACE London (April 2026). Exploring how enterprises can bring observability (OpenTelemetry) to AI agent activity in the Atlassian ecosystem to ensure compliance and safety as AI agents join the workforce.

As further solutions are explored, they will appear here.

If these projects motivate any of your own work, we would love to hear about it. If you like what you see and want to engage with us, reach out.