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Workflow Drilldown: 3. Analyze

Analyze is where AI surfaces what deserves attention: opportunities, risks, missing information, inconsistencies, and client-specific next steps.

Analysis categories

Relevant tools: FP Alpha and Holistiplan for tax/estate/insurance signals; Envestnet, Orion, Nitrogen, YCharts, Kwanti, and Addepar for portfolio signals; CRM/client-engagement tools for service triggers.

Advisor examples

  • “Show clients over 60 with no documented Social Security strategy.”
  • “Find households with taxable gains and charitable intent.”
  • “List clients with more than 15% cash and no known short-term spending goal.”
  • “Which prospects mentioned retirement in the last six months but never scheduled a planning meeting?”
  • “Find clients whose estate documents name an ex-spouse or deceased fiduciary.”

What AI is good at

AI is strong at scanning large volumes of text and records, making comparisons, spotting missing data, clustering similar cases, and preparing hypotheses. It is especially useful where the advisor already knows what signals matter but does not have time to manually inspect every client record.

What requires human judgment

  • Whether an identified “opportunity” is actually appropriate for the client.
  • Tradeoffs between taxes, liquidity, risk, family goals, and emotional preferences.
  • Whether a recommendation creates a conflict of interest or rollover/product concern.
  • Whether the data is complete enough to act.
Best practice: Treat AI analysis as a prioritized review queue, not a final recommendation engine.

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