Forecast Insight Canvas focused on collaboratively mapping the drivers of forecast fade and reframing them into a clear, executive‑ready decision journey. Using a shared visual workspace, the team structured how Programme Directors can move from raw supply chain data to confidence, explanation and action when committing spend.

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.

En este desafio nos enfocamos en crear un e-commerce llamado alura geek en el cual se vende productos, ademas se usara una pequeña base de datos en donde realizaremos peticiones para que el e-commerce sea accesible como administrados y asi cambiar o eliminar cada producto.

Risky presented a concept prototype focused on applying agentic AI to proactively interrogate risk registers and surface actionable insights for regulators and delivery teams, emphasising clarity of narrative and decision support.

Fade Radar delivered Fade Radar, a lightweight, executive‑facing application that visualises forecast fade and risk signals in supply chain spend. The solution focuses on making forecast deterioration visible over time and framing it in a way Programme Directors can quickly understand and use when engaging the CFO.

Forecast Confidence Lens focused on turning unreliable supply chain spend forecasts into a confident, decision‑ready view for Programme Directors. Using the provided Rolls‑Royce datasets, the team verified key drivers of forecast fade and reframed them into a clear confidence and action narrative that leaders can stand behind when committing...

F-Code Recruitment portal for managing candidate challenges, assignment submissions, presentation scheduling, and result tracking.

CutVac Risk Cleaner implemented a Python‑based risk‑register processing and feedback pipeline that cleans, validates and analyses risk and mitigation data, then generates automated, insight‑driven email prompts to drive corrective action.

Risk Review Regulator designed a set of agentic AI personas to automatically review risk registers, analyse data quality and exposure, and drive action through targeted, human‑centred email nudges. The solution demonstrates a closed‑loop risk‑management cycle spanning project, portfolio, and enterprise views.

Route Awakening designed an executive‑grade Supply Chain Forecast Confidence Platform that shifts forecasting from a black‑box prediction exercise to confidence‑led decision support. Their work focuses on explaining why forecasts change, quantifying confidence and risk, and guiding Programme Directors and CFOs towards clear, defensible act...