AI for Financial Planners

What you do today

Gather a client's complete financial picture — income, expenses, assets, debts, insurance, tax situation, goals, and risk tolerance. The plan is only as good as the data you collect.

AI that applies

AI aggregates financial data from connected accounts, identifies gaps in the picture, calculates key ratios automatically, and generates preliminary needs assessments.

How it works

The system ingests connected accounts as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — preliminary needs assessments — surfaces in the existing workflow where the practitioner can review and act on it. The discovery conversation.

What you do today

Construct portfolios aligned with client goals and risk tolerance, monitor performance, rebalance when needed, and make adjustments as life circumstances change.

AI that applies

AI monitors portfolios for drift from target allocation, identifies tax-loss harvesting opportunities, and suggests rebalancing trades that minimize tax impact.

How it works

The system ingests portfolios for drift from target allocation as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Identify tax-saving opportunities — Roth conversions, charitable giving strategies, capital gains management, income timing — and coordinate with the client's CPA to execute.

AI that applies

AI identifies tax planning opportunities across client accounts, models the multi-year impact of strategies like Roth conversions, and optimizes timing of taxable events.

How it works

The system reads the current state — resource availability, demand patterns, and constraints — to inform its scheduling logic. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.

What you do today

Review beneficiary designations, coordinate with estate attorneys, ensure asset titling supports the estate plan, and help clients think about wealth transfer and legacy.

AI that applies

AI audits beneficiary designations across all accounts, identifies conflicts between account titling and estate plan documents, and models estate tax scenarios.

How it works

The system reads the current state — resource availability, demand patterns, and constraints — to inform its scheduling logic. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria. The conversations about legacy, values, and family dynamics.

What you do today

Maintain certifications (CFP, CFA, ChFC), complete CE requirements, stay current with tax law changes, and continuously develop expertise in an evolving regulatory landscape.

AI that applies

AI tracks CE requirements and deadlines, monitors regulatory changes relevant to your practice, and curates learning content based on your knowledge gaps.

How it works

The system ingests CE requirements and deadlines as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Maintain client files, document recommendations, ensure suitability and best interest compliance, and keep records that protect both your clients and your practice.

AI that applies

AI auto-documents meeting notes and recommendations, checks suitability requirements, and maintains compliant record-keeping from your workflows.

How it works

The system monitors regulatory data sources — rule changes, enforcement actions, and compliance records. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The professional responsibility of ensuring every recommendation is in the client's best interest.

What you do today

Create comprehensive financial plans — retirement projections, investment allocation, tax strategies, insurance recommendations, estate plans — and present them in a way clients can understand and act on.

AI that applies

AI generates plan scenarios with Monte Carlo simulations, stress tests strategies against historical market conditions, and creates client-friendly visualizations.

How it works

The system pulls financial data from operational systems — transactions, forecasts, actuals, and variance history. The simulation engine runs thousands of scenarios by varying each uncertain input across its probability range, building a distribution of outcomes that quantifies the risk. The output — plan scenarios with Monte Carlo simulations — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

Design withdrawal strategies, optimize Social Security claiming, plan for healthcare costs in retirement, and ensure clients won't outlive their money.

AI that applies

AI models optimal Social Security claiming strategies, simulates various withdrawal sequences, and stress-tests retirement income against longevity, inflation, and market risk.

How it works

The system reads the current state — resource availability, demand patterns, and constraints — to inform its scheduling logic. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.

What you do today

Generate referrals from existing clients, network in the community, host educational events, and build the practice through relationships and demonstrated value.

AI that applies

AI identifies referral opportunities from client networks, targets marketing to ideal client profiles, and automates nurture sequences for prospects.

How it works

The system ingests client networks as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Meet with clients annually or quarterly to review progress, adjust plans for life changes, rebalance if needed, and maintain the relationship that keeps them engaged with their plan.

AI that applies

AI prepares review packets automatically — performance summary, plan progress, identified action items, and suggested discussion topics based on changes since last review.

How it works

The system ingests packets automatically — performance summary as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The review meeting itself.