PATCH 404 - Hackathon
We invite innovative thoughts and ideas in the following domains that can be solved using Generative AI and Agentic technologies. We are looking for problem–solution fit, agentic intelligence, and tangible value.
Date & Time: 23 December 2025 – 24 January 2026
Venue: Online & Offline (TBD)
POC: Arun Sasi (+91 9995850250)
Rules & Regulations
PATCH 404 –The Hackathon | Tech A Break 2025
Powered By: Reflections Info Systems Pvt. Ltd.
The Challenge- Innovate. Automate. Impact.
We invite innovative thoughts and ideas in the following domains that can be solved using Generative AI and Agentic technologies. For each domain, we have provided example use cases to spark your thinking. However, these are only indicative. You are encouraged to be creative and propose original ideas that address meaningful problems.To ensure every team builds something meaningful, valuable, and aligned to real-world impact, all submitted ideas will be evaluated against a set of clear assessment principles.
Domains & Example Use Cases
Cards and Payments
- Example: Agentic Payments – Collect agentic mandate for a payment and agent can purchase an item from an eCommerce store securely on behalf of the user.
- Example: AI Voice Agent for Sales and Collections Training – Design an AI-powered voice simulation system that acts as a virtual customer, enabling sales and collections agents to practice realistic conversations and receive structured, data-driven feedback on their performance.
- Example: Real-Time Service and Dispute Resolution – Conversational AI agents provide 24/7 support, handling routine queries, transaction clarifications, and initiating card replacements or dispute claims with end-to-end automation, reducing reliance on human call centres.
- Example: Proactive Fraud Detection & Response – Unlike traditional systems that rely on static rules, agentic AI continuously monitors transaction streams and user behaviour in real time, identifies new fraud patterns, and autonomously initiates containment measures (e.g., freezing an account or blocking a suspicious transaction).
- Example: Automated Back-Office Operations – Agents streamline labour-intensive tasks like invoice processing, expense management, and accounts payable/receivable reconciliation by autonomously matching data across systems (invoices, purchase orders, bank statements), flagging exceptions for human review, and initiating payments.
Banking
- Example: AI Financial Coach – An AI powered financial coach that analyses your credit card transactions, savings, and debt to uncover spending habits and offer personalized advice. It breaks down where your money goes, summarizes your financial health, and gives smart, actionable tips to help you save more money and reduce debt.
- Example: Agentic Marketing – This tool scans the Internet for trending financial topics, then generates brand-aligned emails and social posts in real time. By following our tone and style guidelines, it helps us respond faster to what matters, turning news into timely, relevant, creative content.
- Example: Treasury Optimization – Agents can autonomously manage cash and liquidity by running continuous simulations and rebalancing funds across accounts to optimize yields, manage FX exposures, and ensure compliance with liquidity ratios.
- Example: Credit Decisioning and Onboarding – Agents automate the collection and validation of applicant data (KYC checks, document verification, credit bureau checks) to deliver instant loan approvals or credit limit recommendations, dramatically shortening onboarding cycles.
Insurance
- Example: Agentic Policy Servicing Agent – Zero-touch policy administration by interpreting customer requests (endorsement, nominee change), validating eligibility and compliance, executing changes across systems, issuing revised documents, notifying stakeholders, and auditing its own actions.
- Example: Regulatory Compliance Agent – Continuous compliance without manual audits by interpreting new regulations, mapping regulatory changes to internal processes, detecting compliance violations, initiating corrective actions, and preparing audit-ready evidence. Agent acts on regulations, not just reports.
- Example: Fraud Hunter Agent – Continuously detect and prevent fraud by monitoring claims, policies, and payments in real time. It builds and updates fraud networks, launches investigations autonomously, coordinates with other agents (claims, underwriting), freezes payouts when confidence thresholds are crossed, and learns new fraud patterns.
Manufacturing
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Example: Autonomous Production Planning Agent – This agent continuously plans and replans production schedules based on demand signals, inventory levels, machine availability, and workforce constraints. It resolves conflicts between competing orders, adjusts plans in real time when disruptions occur, and executes changes directly in MES and ERP systems.
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Example: Predictive Maintenance Decision Agent – Unlike traditional predictive maintenance systems, this agent autonomously decides when, what, and how to maintain equipment. It schedules maintenance, orders spare parts, coordinates downtime, and verifies post-maintenance performance, learning from outcomes to refine future decisions.
Retail
- Example: AI for Enterprise, Retail & Supply Chain – Design an AI-driven solution that enables intelligent, real-time decision support across enterprise, retail, and supply chain operations by leveraging data from multiple systems to improve forecasting, optimization, and operational visibility.
- Example: Autonomous Demand Forecasting & Replenishment Agent – This agent continuously forecasts demand at SKU–store–region level and autonomously triggers replenishment orders. It adapts to seasonality, promotions, local events, and real-time sales signals, resolving stock conflicts and minimizing overstock and stockouts without human intervention.
- Example: End-to-End Order Fulfilment Orchestration Agent – Owning the full order lifecycle, this agent decides optimal fulfilment paths with store pickup, ship-from-store, warehouse delivery, or third-party logistics. It reroutes orders dynamically during disruptions to ensure on-time delivery at the lowest cost.
Public Services
- Example: Agentic Public Grievance Triage & Resolution System – Build an AI system that automatically understands, prioritizes, and routes citizen grievances, including multilingual and voice-based inputs.
- Example: Early Detection of Regional Misinformation Narratives – Create an AI system that detects emerging misinformation narratives early, before they go viral.
Software Engineering
- Example: Intelligent SDLC Risk Radar for Software Teams – Build an AI system that predicts delivery risk, quality issues, or burnout signals by analyzing SDLC artifacts.
- Example: AI Knowledge Retention Engine – When employees leave, organizations lose critical tacit knowledge hidden in code, docs, chats, and decisions. Create an AI-powered knowledge system that captures, retrieves, and highlights critical institutional knowledge automatically.
- Example: AI in Project Management – Design an AI-powered accelerator that automates project management plan generation and enables intelligent tracking of project execution based on real-time inputs.
- Example: Automated Analytics Companion / Natural-Language Dashboards – Design an AI-powered analytics companion that allows users to ask questions in natural language and automatically generates dashboards, visualizations, and actionable insights from enterprise data without requiring BI or SQL expertise.
- Example: Automated Code Reviewer with Security Intelligence – Design an AI-powered code review system that automatically analyzes source code for quality issues, performance bottlenecks, and security vulnerabilities, providing actionable and explainable feedback within the development lifecycle.
- Example: Intelligent Test Automation Builder – Design an intelligent system that automatically generates, prioritizes, and maintains test cases by understanding functional requirements, user stories, and UI flows, reducing manual effort while ensuring high test coverage and reliability.
How Will We Qualify Your Idea?
We are not looking for arbitrary experiments or generic chatbot demos. We are looking for problem–solution fit, agentic intelligence, and tangible value.
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Real-World Problem Relevance: Your idea should be rooted in a genuine, well-defined problem—preferably one that exists in the domains we’ve outlined.
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Meaningful Business or User Impact: We expect ideas to create visible, measurable value. An idea with no value narrative will not qualify.
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Clear Use of Generative AI or Agentic Technologies: This hackathon is specifically about autonomous systems, tool-calling, multi-step reasoning, and GenAI-powered intelligence.
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Feasibility Within Hackathon Timeframe: Innovation is encouraged, but the idea must be implementable or show a strong prototype within the hackathon’s duration.
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Originality & Differentiation: We welcome teams to think differently. We are not looking for “another chatbot,” “another summarizer,” or “another CRUD UI.”
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Domain Usefulness & Scalability: While creativity is valued, we want solutions that could scale beyond a prototype.
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Ethical, Secure & Responsible AI Design: Must be considered in the solutioning phase.
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Demonstrability of the End-to-End Value Flow: A good idea tells a complete story from Input → Intelligence → Action → Impact.
We encourage participants to think boldly, innovate responsibly, and build solutions that can actually live in the world—whether inside an enterprise, a government agency, or the public domain. Ideas that balance practicality, innovation, and agentic depth will be shortlisted for the hackathon.
Competition Rules & Guidelines
- Open to all Technopark companies (Phases I, II, III).
- Only one team per company is allowed to participate.
- Team size: 2–4 members.
- All participants must be employees of their respective companies.
Event Timeline
Initial Submission 08 January 2026. A submission link will be shared after successful registration.
- Teams will have to submit their Problem Statement Presentation on 12 January 2026
- Submissions must include:
- Understanding of the problem
- Proposed solution direction
- Optional) Tech stack
- Expected outcome/demo vision
Shortlisting
- Evaluation of submissions
- Selection of 15 finalist teams
Final 24-Hour Hackathon
- Jan 23 (Friday), 6:00 PM – Jan 24 (Saturday), 6:00 PM
- Teams work on building a functional prototype
- Final presentations and judging