@afilomeno27236

EscrowGuard is a multi-agent platform designed to resolve operational friction and strict regulatory compliance in high-value financial transactions or escrows. Developed by the "Script Hunters" team for the "Regulated & High-Stakes Workflows" track of the Band of Agents hackathon, the system turns validation into a real-time interactive negotiation room. - Instead of slow processes, EscrowGuard introduces a "Syndicate of Intelligent Agents" and robust technical orchestration: - Extractor AI (PydanticAI): Instantly processes passports and PDF documents to extract structured data with strict type validation. - Bank Retention (Mock SPEI): Simulates the preventive freezing of funds in escrow accounts while analyzing the profiles of those involved. - Risk OSINT Agent (CrewAI): Actively searches the web and scans international databases (OFAC, PEP, SAT) to identify money laundering networks or potential criminal sanctions. - Logic Orchestrator (LangGraph): A state machine that coordinates the agents and halts the financial flow if any level of risk is detected. Its biggest differentiator is its Human-in-the-Loop (HITL) architecture operated through Band Pro. If the agents detect an ambiguous case (such as a false positive due to a name collision with a sanctioned politician), LangGraph pauses the operation and calls a human Compliance Officer (DPO) into the room. The DPO can interrogate the OSINT agent about its sources, analyze discrepancies, and execute a manual approval to release the funds, bridging the scalability of AI with critical human judgment to close deals with complete security.

📅 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.