Sentra is a real-time decision intelligence layer embedded in retail banking frontline interactions. It transforms fragmented customer data into a dynamic “digital twin,” enabling agents to understand customer context, assess vulnerability, and take the most appropriate action (proactively or during live interaction). Key Features: - Digital Twin: Real-time, contextual view of the customer (financial, behavioural, interaction signals) - Vulnerability Assessment: Explainable identification of financial stress and customer risk with clear guardrails - Intelligent Orchestration: Dynamic next-best-actions, including recommendations, suppression of harmful offers, and tailored guidance - Agent Interface: Real-time prompts, reasoning, and suggested actions during calls
More from Global Codex Hackathon: [London]
In Common is an AI-powered workforce intelligence prototype that helps large organizations staff teams faster, more fairly, and with better evidence. It sits…
Our project combines an agent-driven development framework (AI-Led SDLC) with a plugin called LegacyBridge to enable interaction with legacy systems that lack…
Our project is an AI-powered travel insurance claim processing platform that automates the full claims journey from document intake to final decision. It…
Coachdex is a team intelligence layer on top of Codex. It turns isolated Codex sessions into shared team intelligence and reusable skills by capturing…
An AI-powered software engineering assurance tool that turns a public GitHub repository into a structured review in minutes. A user submits a repo URL and the…
This project focuses on developing a Time and Attendance system that integrates alongside our existing payroll platform, bringing a critical function in-house…