Chase Miller Posted July 24 Posted July 24 I have been experimenting with a new way to use Form 5500 data, and I am curious whether retirement plan professionals would find it useful—or consider it a bridge too far. I built a connection between a Form 5500 databaase and AI agents such as Claude Code and Codex. The technical name for the connection is an “MCP,” but the simplest explanation is that it works like a secure data source. A normal AI chatbot can talk and write using the open internet, but it cannot automatically reach into a specialized database. The MCP gives it permission to ask PlanProvider.Pro (like Judy Diamond) specific questions and return source-linked answers. You still ask the question in plain English. For example: • “Look up the retirement plan for these five companies and summarize the latest filing year, participants, and assets.” • “Who are the listed advisor, auditor, recordkeeper, and administrator for this plan?” • “Find retirement plan auditors in Texas and show me their profiles.” • “Turn this named list of prospective employers into a research brief and identify possible reasons for a conversation." So the real question may not be, “Would you let AI do your client acqustion research?” It may be, “Which parts of prospect research would you trust it to prepare before a human reviews the work?” I would especially like to hear from the skeptics: • What research task would you try first? • Where would you require a human checkpoint? • What mistake or privacy concern would make you refuse to use it? Here is the plain-English overview and setup guide: https://planprovider.pro/form-5500-ai-mcp Full disclosure: I built this, and I am looking for candid feedback—not just compliments.
amanda22 Posted August 12 Posted August 12 That’s the kind of work I’d happily let AI prepare if every answer links back to the source. I’d still want a human checking anything used to justify outreach, especially if the AI is inferring that a company might be unhappy with an advisor or recordkeeper.
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