Category: Awards & Recognition

Hackathon wins, awards, and recognition.

  • 🥈 1st Runner Up — Microsoft Dynamics 365 Customer Insights ITeS Hackathon

    🥈 1st Runner Up — Microsoft Dynamics 365 Customer Insights ITeS Hackathon

    🥈 1st Runner Up — Microsoft Hackathon: Dynamics 365 Customer Insights (ITeS) · Feb–Mar 2021

    In early 2021, our ITC Infotech team was selected as the 1st Runner Up at the Microsoft Dynamics 365 Customer Insights ITeS Hackathon — a four-week build challenge judged by an eight-member Microsoft jury. The objective: solve a stated business problem within four weeks, leveraging Microsoft Azure and Dynamics 365 — Customer Insights, Power BI / Power Apps. Solutions were validated against industry coverage, number of data sources, ideation of measures, integration breadth and presentation quality.

    ITC Infotech team emerged 1st Runner Up at Microsoft Hackathon — Dynamics 365 Customer Insights ITeS Hackathon, Feb-March 2021
    The Microsoft / ITC Infotech announcement — 1st Runner Up, Dynamics 365 Customer Insights ITeS Hackathon, Feb–March 2021.

    The team

    • Pradeep Bhaganna — Sr. Principal Consultant
    • Shanthi Chenna Reddy — Technical Architect
    • Astha Jaggi — Data Scientist
    • Raghav Mishra — Technical Consultant

    The business challenge — Financial Crime

    The business area we focused on was Financial Crime in banking — a domain under constant regulatory stress. The core problem: banks were drowning in compliance alerts. More than 80% of those alerts turned out to be false positives, and banks did not have an effective single risk view of a customer, forcing large compliance teams to manually triage and investigate cases that mostly went nowhere.

    The solution — Intelligent automation on the Microsoft stack

    We built an intelligent-automation financial-crime solution on top of ITC Infotech’s CIP Digital Banking Capability, combining a machine-learning model developed in Azure ML Studio with Dynamics 365 Customer Insights to create a single risk view of each customer. The solution then used Dynamics 365 case management to identify true and false positive alerts, automating the alert-triage process.

    The stack

    • Azure ML Studio — the financial-crime classification model
    • Dynamics 365 Customer Insights — unified customer profile and risk view
    • Dynamics 365 case management — automated alert triage and investigation workflow
    • Power BI / Power Apps — the operations dashboards and compliance UI
    • ITC Infotech CIP Digital Banking + E² Framework — the underlying delivery accelerator

    The impact (modelled)

    • 30% improvement in case resolution time through automated triage
    • 35% improvement in SAR (Suspicious Activity Report) disclosure rate
    • ✅ Significant reduction in manual human effort for compliance investigators
    • ✅ Improved customer and colleague experience on the compliance journey

    What Microsoft said

    Congratulations ITC Infotech team! Great performance and brilliant solutioning. We should immediately think about taking this solution to market via AppSource.

    Nitin Santosh — Global Partner Technology Strategist, Microsoft

    Congratulations Team ITC Infotech! Learning, ideating and building — and finally winning! Let us build on this success and bring in some early customer wins together!

    Srividya Lakshminaraghavan — Director, Partner Technology, Microsoft India

    Looking back

    This was my first major Microsoft hackathon recognition — and a defining moment in shaping how I think about enterprise AI. The lesson that stuck with me: AI is only as valuable as the business workflow it lives inside. A model that classifies financial-crime alerts is interesting; a model wired into Dynamics 365 case management with a clear human-in-the-loop is shipped value.

    Five years and two hackathon wins later, that thesis still drives what I build today — most recently TrafficIQ on the modern Microsoft AI Foundry / Agent Framework stack.

    Links

  • 🏆 Winning Best DEI Use Case at Microsoft HackTogether — Make Life Easy

    🏆 Winning Best DEI Use Case at Microsoft HackTogether — Make Life Easy

    Make Life Easy — Power Apps + DALL·E visualizer screen showing step-by-step shoe-removal task with AI-generated visual cues
    Make Life Easy — Power Apps canvas app generating DALL·E visual cues for each step of a daily living task (shoe removal), wired to a per-child scheduler in Dataverse.

    🏆 Best DEI Use Case — Microsoft HackTogether: Power Platform Global AI Hack · 2023

    In 2023, I was selected as one of just four global winners of Microsoft’s HackTogether: Power Platform Global AI Hack — winning the Best DEI (Diversity, Equity and Inclusion) Use Case category for my project Make Life Easy. The hackathon received 115 submissions from across the global Power Platform community, and was organised by April Dunnam and the Power Platform Developer team.

    The project — Make Life Easy

    Make Life Easy is a specialised Power Apps canvas app designed to support parents of autistic children in their daily routines. The app’s primary goal is to simplify and enhance the lives of both parents and children by providing visual and text-based guidance for various daily activities.

    Key features

    • Visual and text-based task lists — so a child can see and read each step of a routine
    • Customisable activities — parents can tailor the app to their child’s specific needs
    • Scheduling — predictable, repeatable routines that help reduce daily anxiety
    • Accessibility features — designed with sensory and cognitive needs in mind
    • User-friendly design — for both children and busy parents
    • Feedback and improvement loop — so the app keeps evolving with real-world use

    The AI underneath

    From the Microsoft judges’ announcement post: “The judges loved that the Power App connects to DALL-E to generate the images used and Azure OpenAI to create the list of steps. And most importantly, the judges loved the use case of helping kids with autism and their parents.”

    • Azure OpenAI generates the step-by-step instructions for each activity
    • DALL-E generates the visual icons that accompany each step
    • Power Apps + Power Automate + Dataverse deliver the app, persist data and wire the workflows together

    Why this matters

    Daily routines are not background noise for many neurodivergent children — they are the scaffolding of the day. Visual, predictable, customisable instructions can dramatically reduce friction, anxiety and conflict at home. The technology stack here is almost incidental: what mattered was using generative AI to personalise that scaffolding at scale, so parents do not have to manually draw or write out every step of every routine.

    This was also a personal lesson about what Power Platform is really good at: shipping a working, customer-grade app in days, not months — which is exactly what a hackathon format rewards. Combined with Azure OpenAI and DALL-E, citizen-developer tooling becomes a serious vehicle for accessibility-first software.

    Thank you

    Huge thanks to April Dunnam and the Power Platform Developer team for running HackTogether, the judges for picking Make Life Easy in the DEI category, and AlfaPeople for their support along the way.

    Links

  • 🏆 Winning Best Use of Microsoft Foundry at AI Dev Days Hackathon — TrafficIQ

    🏆 Winning Best Use of Microsoft Foundry at AI Dev Days Hackathon — TrafficIQ

    🏆 Best Use of Microsoft Foundry — Microsoft AI Dev Days Hackathon · 2026

    I am honored to share that TrafficIQ — Supply Chain Transport Intelligence won the Best Use of Microsoft Foundry Project award at Microsoft’s AI Dev Days Hackathon. The hackathon brought together a global community of 2,041 registrants and 401 submitted projects, with winners selected across two Grand Prize categories and four special category awards.

    TrafficIQ Dashboard
    TrafficIQ Dashboard — the operational command centre.

    What TrafficIQ does

    TrafficIQ is an enterprise-grade multi-agent AI platform built entirely on the Microsoft AI Platform. It brings real-time traffic intelligence into fleet, logistics and supply-chain workflows — so dispatchers, drivers and operations leaders can make smarter routing and delivery decisions before disruptions hit the bottom line.

    The Microsoft stack underneath

    • Azure AI Foundry — model hosting, agent orchestration and evaluation
    • Microsoft Agent Framework — multi-agent coordination and tool calling
    • Azure Maps — routing, traffic incidents and geospatial intelligence
    • Azure IoT Hub — fleet GPS telemetry and vehicle sensor streams
    • Dynamics 365 Finance & Operations — orders, shipments and field service
    • MCP (Model Context Protocol) — standardised tool integration across agents
    • Dataverse, Power Apps & Power Automate — the human-in-the-loop UI and workflow layer
    TrafficIQ Multi-Agent Architecture
    The TRAFI multi-agent architecture — 6 specialist agents, 49 composable tools.

    TRAFI — the multi-agent core

    At the heart of TrafficIQ is TRAFI, a multi-agent AI orchestration system with 6 specialist agents and 49 composable tools. The agents proactively monitor traffic incidents, optimise delivery routes, and reduce operational disruptions before they impact supply chains. Each agent owns a clear responsibility — incident monitoring, route planning, ETA recalculation, fleet health, customer notifications, escalation — and they coordinate through the Microsoft Agent Framework.

    What the platform delivers

    • ✅ Real-time traffic awareness across the fleet
    • ✅ Intelligent route optimisation with live re-planning
    • ✅ Fleet GPS visibility and IoT telemetry
    • ✅ Predictive maintenance insights
    • ✅ Automated ETA updates to customers
    • ✅ Field service & inventory management
    • ✅ Enterprise notifications and operational dashboards
    TrafficIQ Delivery Planner
    Delivery Planner — AI-assisted scheduling and route optimisation.
    TrafficIQ Fleet Management
    Fleet Management — live vehicle health and GPS telemetry.
    TrafficIQ Analytics
    Operational analytics — KPIs that decision-makers actually read.
    TrafficIQ AI Chat Agent
    The TRAFI chat agent — natural-language ops co-pilot for dispatchers.

    Why this project

    This project was focused on solving practical enterprise challenges using agentic-AI patterns and Microsoft technologies in a production-oriented architecture. Hackathon code often optimises for the demo. With TrafficIQ I tried to optimise for what would survive a 3-month production hardening cycle: typed contracts between agents, explicit human-in-the-loop checkpoints, and a Dataverse-backed operational model that an enterprise IT team could actually own.

    Links