Titan

TITAN is an autonomous enterprise negotiation platform powered by multi-agent AI systems using Gemini. It simulates how real enterprise stakeholders negotiate complex contracts, procurement agreements, and operational deals in real time. In large organisations, enterprise negotiations are slow, fragmented, and heavily manual. Legal, procurement, finance, compliance, and vendors often operate across disconnected workflows, resulting in long approval cycles, operational friction, delayed execution, and costly inefficiencies. TITAN reimagines this process as an intelligent autonomous workflow. The platform creates specialised AI negotiation agents representing key enterprise stakeholders: * Vendor Agent * Procurement Agent * Legal Agent * Finance Agent * Compliance Agent Each agent operates with unique goals, constraints, and reasoning patterns. During a negotiation session, agents negotiate pricing, SLAs, delivery timelines, penalties, compliance requirements, and risk clauses over multiple rounds. Gemini powers the reasoning engine behind each agent, enabling structured trade-offs, constraint-aware decision-making, and dynamic negotiation behaviour. TITAN provides a live operational “Deal Room” interface where users can watch negotiations evolve in real time. As negotiations progress, the platform updates deal state dynamically, highlights conflicts, surfaces risks, and explains why concessions or rejections occur. At the end of the negotiation, TITAN produces a final structured agreement along with a reasoning trace and trade-off analysis. The project demonstrates practical enterprise AI workflows beyond simple chat interfaces. Instead of a single assistant responding to prompts, TITAN showcases coordinated multi-agent reasoning, operational decision-making, and autonomous workflow simulation — all highly relevant to real-world enterprise operations. Built with Next.js, TypeScript, and Gemini 3 Flash