Pibit.AI buying intent

Ask anyone in our industry if they have heard of agentic AI and the answer would be a resounding yes. Most of them claim to be leveraging agentic AI in one of these four buckets: LLM chatbots on the workbench: A copilot answers an underwriter's question and that is pretty much it. It will explain class codes or summarize accounts but will have no memory of your appetite, nor will it take action if it gets stuck. RPA pretending to be intelligent: Rule-based scripts move data between fields until a broker sends a loss run in a new format. Then the script breaks, the submission gets kicked out, and someone re-keys it by hand. RAG-based submission assistants: These retrieve but do not pull loss runs, SOVs, and MVRs into one view. This is better than nothing, but an underwriter still gets a tidier pile rather than a decision-ready submission. Process monitors: These are essentially intelligent-sounding alerts that act like an agent without actually being one. Honestly, none of this is remotely agentic AI. If I were to break it down in the simplest manner, it would look like this: An orchestrator plans the submission journey with memory of the carrier's appetite, past declines, and broker history, among other things. It is supported by specialized agents that each own a job: one extracts loss runs, one checks clearance, one enriches with OSHA, SEC, and OFAC data, one scores the risk, and one generates the proposal. On top of it, a feedback loop learns from every bound and declined account. Fundamentally, we need to understand that capable agents do not just answer questions. They move a submission from inbox to decision-ready on their own, and provide visibility into their work at every step so the underwriter can verify instead of re-doing the work. This difference matters because every dollar spent on the first four buys incremental minutes, and only the fifth changes the unit economics of an underwriting desk. If your AI vendor cannot draw this diagram, you are buying a chatbot with better marketing.