Workflow Drilldown: 2. Structure

Structure is where AI turns messy information into usable planning data. This is one of the biggest efficiency gains because advisory firms lose enormous time re-keying facts from conversations, PDFs, emails, and statements.

What “structured” means

Structured data is information placed into fields that downstream systems can use: CRM contacts, household members, goals, assets, liabilities, income, expenses, tax facts, insurance coverage, beneficiaries, tasks, deadlines, and planning assumptions.

Common structured outputs

Relevant tools: CRM/workflow systems such as Wealthbox, Salesforce, Redtail/Orion, and Hubly; planning/document tools such as PreciseFP, RightCapital, eMoney, FP Alpha, and Holistiplan.

CRM fields

Family members, employer, retirement date, key concerns, communication preferences, beneficiaries, referral source, next review date.

Planning fields

Income, spending, savings rates, goals, planned retirement age, Social Security assumptions, education goals, debts, and assets.

Tax fields

AGI, taxable income, marginal bracket, deductions, capital gains, loss carryforwards, charitable giving, RMD exposure.

Workflow fields

Tasks, owner, due date, urgency, client deliverable, compliance review needed, CPA/attorney coordination needed.

How planners use AI here

Convert meeting transcripts into CRM notes and planning facts.
Extract key tax-return values for review in Holistiplan, FP Alpha, RightCapital, or planning software.
Transform estate documents into beneficiary/fiduciary tables and estate-flow summaries.
Create a clean balance sheet from statements and client-provided documents.
Normalize inconsistent client language into firm-standard categories.

Why it matters

Structured data enables everything downstream: plan generation, opportunity detection, next-best-action alerts, consistent service models, compliance evidence, and firm analytics. Without structure, AI is just summarizing; with structure, it can drive workflow.

Risks and controls

AI extraction errors can be subtle. Require advisor review before data becomes authoritative.
Flag uncertain fields instead of silently guessing.
Maintain source links back to the original document or transcript.
Do not overwrite systems of record without human approval or reconciliation rules.

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