Build 2 Rise 2026

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Overview Krixov presents: AI for Operational Intelligence Case Challenge Build Real. Showcase Skills. Unlock Opportunities. About the Challenge: BUILD2RISE 2026 is an online, idea-based case challenge organized by Krixov. It invites college and university students to analyze real-world operational challenges and propose innovative, practical, data-informed, and responsible AI-enabled solutions. Participants will select one problem statement, analyze its root causes, define the intended users, design a feasible solution, and present their idea through a structured presentation. The challenge focuses on problem-solving, analytical thinking, product innovation, data-driven decision-making, and responsible use of AI. Whether your strengths are technology, business, analytics, design, operations, research, or communication, this is an opportunity to showcase your thinking and present an idea with real-world potential. Event Overview: Event name: BUILD2RISE 2026 Theme: AI for Operational Intelligence Format: Online Competition type: Idea / Case-study presentation Duration: 72 hours (3 days) Problem statements: 6 Participation: Individual or team Team size: 1-4 members Eligibility: Currently enrolled college/university students from any discipline and academic year Submission format: PDF or PowerPoint presentation Rounds: One submission and evaluation round Registration deadline: 15-11-2026 (11:59 PM) Challenge start: 16-11-2026 (12:01 AM) Submission deadline: 18-11-2026 (11:59 PM) Organizer contact: campus@krixov.com Rewards and Recognition: BUILD2RISE 2026 is designed to help students showcase their ideas, strengthen their portfolios, and explore potential career opportunities. 1st and 2nd Place - Top 2 Teams: Internship opportunities Consideration for professional recommendations Winner recognition Opportunity to showcase projects and solutions 3rd, 4th, and 5th Place - Next 3 Teams: Consideration for professional recommendations Recognition among the top-performing teams Opportunity to showcase projects and solutions Other Eligible Participating Teams: - Digital Certificate of Participation for eligible teams that complete the required participation and submission process. Important Reward Terms: Internship opportunities and professional recommendations are subject to eligibility, evaluation, availability, and the organizer's applicable selection process. They are opportunities for consideration, not a guarantee of an internship, employment, or recommendation. No cash prize is being advertised in this listing. Problem Statements: Participants must select exactly one of the following six problem statements. Problem Statement 1: The Broken Handoff Problem Problem: Work is often delayed when tasks move between departments or team members without complete information, clear ownership, or a defined next action. Challenge: Design a solution that identifies incomplete handoffs, detects missing information, prioritizes tasks at risk of delay, and recommends actions to improve coordination. Expected solution: A workflow-management concept, intelligent checklist, handoff-risk dashboard, or another practical solution. Success measures: Reduced incomplete handoffs, less rework, clearer ownership, and shorter resolution time. Problem Statement 2: The Invisible Cost Detector Problem: Businesses may overlook avoidable operational costs caused by repeated work, unused software licenses, duplicate purchases, and recurring delays. Challenge: Propose a transparent system that identifies potential waste, ranks opportunities for investigation, and estimates possible savings using clear calculations. Expected solution: A cost-intelligence dashboard, expense-analysis system, duplicate-purchase alert, or related concept. Success measures: Better visibility into cost drivers, more reliable identification of potential waste, and transparent savings estimates. Important requirement: Participants must distinguish confirmed waste from uncertain opportunities. Estimated savings must not be presented as guaranteed savings. Problem Statement 3: Trust Before Automation Problem: AI systems may generate misleading answers when they use outdated documents, conflicting policies, or unverified information. Challenge: Design an AI-assisted system that answers questions using approved documents, provides source citations, detects conflicting information, and escalates uncertain cases to a human reviewer. Expected solution: A source-grounded AI assistant, policy-verification workflow, or document-conflict detection system. Success measures: Higher factual accuracy, appropriate source coverage, reliable conflict detection, and responsible handling of uncertainty. Important requirement: The proposed system must not invent policy rules or present unsupported answers as verified facts. Problem Statement 4: Material S

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