Every enterprise has more AI use cases than engineering capacity. The Native Agentic Application Builder is how Unframe closes that gap.
Chat or canvas, one platform underneath
Business teams describe the use case in chat, and the Native Agentic Application Builder assembles the agent: trigger, steps and output, ready to review. Technical teams design every step on a visual canvas, with LLM steps, document extraction, human approvals and conditional branches.
Every agent builds on the last
All agents draw on the same enterprise knowledge, data and integrations. Published agents can be reused as tools inside new ones, and external systems connect through admin-approved MCP servers.
Control before anything goes live
Every agent is tested with a step-by-step trace before it's published, and human-in-the-loop checkpoints keep people in the decisions that need them.
The organizations scaling AI fastest aren't the ones with the most engineers. They're the ones that removed the handoff between knowing what they need and getting it built.
