ZGI is a powerful platform designed to help businesses build and deploy AI agents quickly and efficiently. It enables you to launch business-ready agents by leveraging your own data, tools, workflows, models, and skills. With ZGI, agents are equipped with a runtime that loads Skills, accesses company knowledge and live data, calls external tools, and delivers useful work at speed.
Key features include document upload and parsing, where documents are broken into source-aware chunks and indexed for easy retrieval. The AIChat and Skills components can recall the right context when tasks are executed, ensuring accurate and relevant responses. You can query business databases using natural language, orchestrate complex workflows, and manage multiple AI models from various providers, all from a single interface.
Benefits of using ZGI include improved operational efficiency, as agents automate repetitive tasks and provide instant access to company knowledge. For example, you can monitor account health, assess support risks, track contract dates, and identify success owners. The platform also helps detect trends, such as a drop in weekly active seats after a pricing update, allowing you to take proactive measures.
Use cases are diverse: from contract analysis that identifies payment, delivery, SLA, liability, and data-security risks, to generating risk matrices, redlines, and approval owners. You can also turn company knowledge and files into reusable business assets, connect models, and produce evidence-backed recommendations.
Technical details: ZGI supports uploading various document types, parsing them into indexed chunks, and recalling context via AIChat or Skills. It integrates with your existing data sources and tools, and allows you to manage models by provider. The platform is designed for scalability and security, ensuring that your business data remains protected while enabling rapid agent deployment.
business analysts, data scientists, software developers, IT operations, customer success teams, product managers
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