Lookio Use Cases

The most common AI knowledge use cases include customer support assistants, internal documentation search, RFP and proposal drafting, sales enablement, compliance research, technical support, onboarding, and content research. Lookio helps teams turn approved documents, web pages, and internal resources into assistants that answer with grounded company knowledge.

Lookio is built for Retrieval-Augmented Generation workflows. You add resources such as PDFs, documents, URLs, sitemap pages, and plain text, then create assistants that retrieve the most relevant knowledge before generating an answer. Teams can use those assistants in the dashboard, through the API, inside website widgets, or with agent tools via MCP.

Yes. You can create focused assistants for different teams, clients, departments, or workflows. For example, support can use product documentation, marketing can use brand and campaign knowledge, and operations can use SOPs. Keeping assistants focused usually improves answer quality because each one searches the right set of resources.

Start with the documents people already search manually: product documentation, help center pages, FAQs, policies, onboarding guides, sales materials, SOPs, technical manuals, and past expert answers. The best first use case is usually a workflow where your team already knows the answer exists, but finding it takes too long.

Yes. Lookio is API-first, so assistants can be connected to automations, internal tools, chatbots, AI agents, and custom workflows. You can query company knowledge from tools like workflow builders, your own applications, or agent environments that support API, CLI, or MCP connections.