PURPOSEFUL SYSTEMS

Inspiration

Projects often fail not because tasks are wrong, but because teams lose clarity.
Inspired by Ackoff & Emery, PURPOSEFUL SYSTEMS turns Jira into a visible, understandable system of behavior.

What it does

• Builds a Systemic AI Timeline of all Jira activity
  
• Detects burnout risk, overload, context switching, ownership gaps
  
• Reveals bottlenecks, cascading delays, and purpose drift
  
• Gives personal hints to contributors and strategic guidance to managers
  

How we built it

Forge Custom UI + Rovo AI + embeddings + a systems-modeling engine that treats Jira events as time-series signals and extracts systemic patterns.

Challenges

Keeping the timeline readable, grounding AI reasoning in real events, avoiding noise, mapping sociotechnical theory into practical signals.

Accomplishments

A clear view of how the project actually behaves.
The first systemic-intelligence layer for Jira.

What we learned

Teams behave like complex adaptive systems.
AI is useful only when it clarifies purpose.

What's next

OKR alignment, multi-project dashboards, burnout analytics, scenario simulations, Marketplace release.

Built With

• azure
• forge
• functions)-rovo-ai-(agents
• java
• openai
• typescript