Lazurio

Employees at a company already use different AI tools individually, but each person's prompts, processes and context stay trapped in their own chat history. The page illustrates this with three employees giving three different answers to the same pricing question, based on what each has separately taught their own AI tool. When that person leaves, as the Anna example shows, their process and knowledge leave with them. Teams end up with inconsistent answers, repeated explaining of the same processes, and no durable institutional memory that AI can draw on.

Lazurio stores a company's processes, documents and examples as shared know-how that any connected AI model can use, including ChatGPT, Claude, Cursor and Grok, so switching models does not mean losing context. It connects to existing tools over MCP, API and Composio integrations such as Outlook, HubSpot, Excel and Slack, letting it read enquiries, price books and customer history to do tasks like drafting quotes or adding priced deals to a CRM. Users interact through a chat interface, a knowledge section for processes and documents, modules or apps built with an agent for specific functions like a sales dashboard, and automations that run recurring work like a Monday team brief on schedule. Data control is handled through a dedicated company server, per-person access rules so AI only sees what is allowed, and publicly available source code.