Shreya Kumar@shreyakumar

Enterprise credit holds are a silent revenue killer. A deal is ready to close, but the order is stuck — tax certificate unverified, credit limit insufficient, dispute tickets unresolved. Resolving it manually means emails across three departments, two days of waiting, and a frustrated customer. ReleaseIQ 2.0 fixes this with a Band-coordinated multi-agent system. When a sales rep emails in a blocked order, A1 — running on Automation Anywhere's native Process Reasoning Engine — parses the case, opens a Band room, and recruits three specialist agents. A2 validates the customer's tax exemption certificate. A3, hosted on Hugging Face Spaces, pulls credit risk data from Dun & Bradstreet, cross-references SAP invoice exposure, and recommends a credit limit adjustment. A4, running on Replit with a live ServiceNow integration, closes all open dispute tickets linked to the order. All four agents — running on four different platforms — coordinate exclusively through Band. They share context, post structured verdicts, and hand off work through a single room. A1 synthesizes the findings into a consolidated approval packet and routes it to the Finance Director for a one-click human sign-off. ReleaseIQ 2.0 demonstrates Band's core value proposition: agents don't need to live on the same platform to work as a team. Band is the coordination layer that makes cross-infrastructure, cross-framework multi-agent collaboration possible in a real enterprise workflow. Powered by Automation Anywhere PRE, Hugging Face, ServiceNow, Replit, and Band.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.