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...

NDA Harm Evidence Explorer built a policy-facing web application that turns anonymised survey data and survivor testimonies into clear, judge-ready evidence of NDA-linked harm. The solution surfaces patterns across sectors, regions and reporting paths, and generates concise narratives that policymakers can reuse in consultation and briefing mate...

Live HCD Dashboard delivered a live, web‑based dashboard that visualises Human‑Centric Data collected during the Hackathon, translating behavioural and emotional signals into actionable insights for teams and organisers. The solution focuses on making sentiment, engagement and stress indicators visible in near‑real time to support timely i...

Sector Risk Lens developed a sector‑level risk analysis that translates NDA misuse and reporting failures into clear, policy‑relevant signals. Using survey data and interpretable modelling, the team highlights where harmful behaviours concentrate and frames results in plain language suitable for non‑technical decision‑makers.

Project:Hack27 is a community hackathon bringing teams together to design, pitch and judge practical solutions across six defined challenges, with a focus on innovation, clear value and real‑world impact.

Evidence Engine built Evidence Engine, a web‑based Assumption Assurance platform that captures project assumptions, links them to evidence, and highlights drift through confidence scoring and visual alerts. The solution focuses on making assumptions explicit, traceable and continuously reviewed rather than static entries in documentation.

Delivery Confidence Radar built an early‑warning Delivery Confidence Radar that integrates activity and capacity data to surface instability, pressure and likely slippage before dates move. The solution emphasises explainable signals and a clear ‘what’s at risk, why, and where to intervene’ structure suitable for planners and senior lead...

Assumption Drift Canvas focused on collaboratively mapping how critical assumptions emerge, drift and impact delivery confidence across projects. Using a shared visual workspace, the team structured the logic linking assumptions, confidence, external signals and portfolio‑level assurance to support earlier, clearer decision‑making.

SpeakOutIQ built SpeakOutIQ, a policy decision‑support platform that combines statistical analysis with an interactive dashboard and optional locally hosted AI to translate NDA misuse evidence into clear, policy‑ready insights. The solution is designed to help campaigners and legislators explore harm, reporting behaviour and sector patterns...

Early Slip Predictor focused on identifying early indicators of delivery slippage by analysing capacity pressure and task behaviour across work centres. Using simple machine‑learning techniques and clear capacity metrics, the team demonstrated how likely future slip can be predicted early and translated into understandable risk signals.

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...

Assumption Drift Monitor explored the use of live external data feeds to detect early signs of critical assumption drift. By integrating an RSS feed as a proxy for external signals, the team demonstrated how changing market, policy or industry conditions could be automatically surfaced and linked back to project assumptions.

Scope2WBS delivered Scope2WBS, a production‑ready system that automatically converts narrative project scope documents into structured Work Breakdown Structures within a secure Azure and Microsoft 365‑compatible environment. The solution integrates a local AI model with a web‑based interface to support compliant, repeatable project initiat...

Assumption Assurance Pitch presented a concept‑led solution for managing critical assumption drift, focusing on clearly communicating the problem, proposed approach and value to portfolio leaders. Through a structured pitch and supporting materials, the team outlined how assumptions could be surfaced, monitored and reviewed to provide earlier...

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.

Delivery Confidence Assistant built a data‑driven Delivery Confidence Assistant that scores forecast‑credibility risk and translates complex delivery signals into clear, actionable insights. The solution combines transparent rules, lightweight modelling and Power BI‑ready outputs to show which tasks are likely to slip, why programmes and w...

Action & Narrative Generator focused on converting early delivery risk signals into clear, prioritised management actions and executive‑ready narratives. Their work defines structured prompts that transform activity and capacity metrics into severity‑scored action lists and dashboard‑aligned narratives, ensuring early warnings lead directl...

AI Delivery Recommender combined delivery analytics with simple AI‑driven recommendations to help teams see delivery risk early and understand what actions could reduce slippage. Their solution pairs a Power BI dashboard with a lightweight recommendation model to translate delivery signals into practical guidance.

Delivery Confidence Dashboard developed a delivery confidence dashboard that uses synthetic delivery data to highlight early warning signs of task slippage and capacity pressure. The team focused on clear visual cues and simple indicators that help planners and project leaders understand where delivery risk is building and what actions may be ne...

NDA Statistical Evidence focused on rigorous statistical testing of the Speak Out Survey data to establish clear associations between NDA use, reporting outcomes and experienced harm. The team prioritised transparent, reproducible analysis to support credible, evidence‑led policy arguments.