Nucleus AI Workflow 3 — Build a Retirement Map
It shows a concrete example of an AI agent handling intake and plan assembly inside an advisor's existing planning workflow, with a confirmation step before output is generated. Advisors evaluating where AI fits into retirement-planning conversations can see the specific prompts and the review points involved.
Summary
By the retirement & income deskA product walkthrough of Nucleus, Nitrogen's AI agent, showing how an advisor can prompt it to build a Retirement Map for a client named John. The demo covers supplying birth year, retirement age and planned monthly withdrawals, answering follow-up questions, reviewing proposed inputs before approving the build, generating a meeting-preparation summary with the proposal and map, and asking about the methodology behind the Retirement Map.
- Nucleus is described as Nitrogen's agentic AI agent, used here to create a Retirement Map
- The advisor provides birth year, retirement age and planned monthly withdrawals, then answers follow-up questions
- The advisor reviews the proposed inputs and gives permission before the Retirement Map is built
- The workflow ends with a meeting-preparation summary containing the proposal and Retirement Map, plus a prompt asking about the map's methodology
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