RIO Co‑lab

challenge

Challenge 3

brief

RIO Co‑lab built the RIO Co‑lab, a multi‑agent risk‑register analysis and visualisation solution that applies specialist AI agents to identify themes, assess data quality, summarise change, and surface actionable insights across project and portfolio risk registers.

Please be aware that this content was generated follwing an automated review so may not be perfectly accurate; refer to the original challenge brief and team files for authoritative information

key outcomes

Expected to improve the quality and usability of risk registers, accelerate identification of systemic risk themes, and enable faster, more informed risk decisions at project and portfolio level.

important files

• 3b RIO Co-lab README.txt: Overview of the RIO Co‑lab concept, agent set, data, dashboard, and submission artefacts.
• RIO Co-lab agents/Programme Theme Agent.txt: Defines an agent that analyses portfolio risk registers to identify dominant, non‑overlapping risk themes.
• RIO Co-lab agents/Risk Description Assessment Agent.txt: Evaluates the quality of risk descriptions and provides structured, explainable improvement feedback.

details

team: RIO Co‑lab members: tbc topics: solution-centre, hack25, challenge3, large-language-models, agentic-ai, power-bi, json, data-analytics, risk-management, risk-register, assurance, automation, data-visualisation technologies: Large Language Models, Agentic AI, Power BI, JSON, Data Analytics