proposal-generation

name

proposal-generation

description

Generate end-to-end investment proposals covering risk profiling, model portfolio recommendation, fee illustration, projections, and compliance review. Use when the user asks about creating a proposal for a prospect, mapping risk questionnaire scores to model portfolios, building fee illustrations with tiered costs, producing Monte Carlo or scenario projections, analyzing a prospect's current portfolio for improvement opportunities, reviewing proposals for SEC Marketing Rule compliance, or designing proposal templates for a multi-advisor firm. Also trigger when users mention 'investment proposal', 'proposal generation', 'risk profiling', 'Riskalyze', 'Nitrogen', 'fee illustration', 'transition analysis', 'current vs proposed portfolio', or 'proposal compliance review'.

Proposal Generation

Core Concepts

Proposal Workflow Architecture

The investment proposal is the centerpiece of the advisory sales process. It translates a prospect's financial situation and goals into a specific, actionable investment recommendation. The end-to-end workflow proceeds through defined stages:

1. Discovery meeting — the advisor meets with the prospect to understand their financial situation, goals, concerns, and expectations. The advisor collects current account statements, tax returns, and any existing financial plan. The discovery meeting establishes the advisory relationship's tone and sets expectations for the proposal.
2. Data collection and organization — the advisor or operations team enters prospect data into the proposal system: personal information, current holdings (manually or via account aggregation), financial goals, time horizons, income, expenses, tax situation, and any unique circumstances (concentrated positions, restricted stock, estate planning needs).
3. Risk profiling — the prospect completes a risk tolerance questionnaire. The system scores the responses and produces a risk profile that maps to a position on the firm's risk-return spectrum. The risk profile is the bridge between subjective client preferences and objective portfolio construction.
4. Model portfolio selection — the risk profile score maps to a specific model portfolio from the firm's lineup. The advisor reviews the mapping, considers any client-specific factors that might warrant adjustment (tax sensitivity, income needs, ESG preferences, concentrated positions), and confirms the recommended model.
5. Current portfolio analysis — if the prospect has existing investments, the system analyzes their current holdings: asset allocation, risk metrics, expense ratios, tax lots, concentrated positions, overlap, and style drift. This analysis quantifies the gap between the current portfolio and the recommended model.
6. Proposal document generation — the system assembles the proposal document from templates, populating it with client-specific data, the recommended portfolio, fee schedule, projections, and disclaimers. The proposal document is the deliverable that the prospect reviews and uses to make their decision.
7. Compliance review — before the proposal is presented, it undergoes supervisory review to verify suitability documentation, performance presentation compliance, fee disclosure adequacy, and proper disclaimers. For firms subject to the SEC Marketing Rule, proposals that include performance data require additional scrutiny.
8. Presentation and discussion — the advisor presents the proposal to the prospect, walks through the analysis and recommendation, answers questions, and addresses concerns. The presentation meeting is where the advisory value proposition is demonstrated.
9. Revision and finalization — based on the prospect's feedback, the advisor may revise the recommendation (different model, adjusted allocation, modified fee structure) and regenerate the proposal.
10. Acceptance and onboarding — the prospect accepts the proposal by signing the advisory agreement (IMA or similar). The proposal data flows into the onboarding process: account opening, funding, and initial investment in the recommended model.

The workflow is iterative, not strictly linear. Prospects may request multiple revisions, ask for comparisons between different models, or bring additional assets into scope after the initial proposal. The proposal system must support version tracking and efficient regeneration.

Risk Profiling and Model Mapping

Risk profiling is the foundation of the proposal recommendation. The risk questionnaire produces a quantitative score that determines which model portfolio is appropriate for the prospect.

Risk questionnaire design:

• Questionnaires typically contain 10-25 questions assessing both willingness (behavioral/emotional tolerance for loss) and capacity (financial ability to absorb losses without jeopardizing goals).
• Common question formats include: scenario-based loss tolerance ("If your portfolio lost 20% in a month, would you sell, hold, or buy more?"), time horizon assessment, income stability evaluation, and investment experience self-assessment.
• Scoring produces a numerical result (e.g., 1-100) or a categorical classification (Conservative, Moderately Conservative, Moderate, Moderately Aggressive, Aggressive).
• Third-party risk profiling tools (Riskalyze/Nitrogen, Tolerisk, FinaMetrica) provide validated, statistically tested questionnaires with defensible scoring methodologies. These are preferred over home-built questionnaires because they have undergone psychometric validation and are widely accepted by regulators.

Model portfolio lineup design: A typical advisory firm maintains 5-10 model portfolios spanning the risk-return spectrum:

Risk Score Range	Model Name	Equity/Fixed Income	Expected Return Range	Expected Max Drawdown
1-20	Conservative Income	20/80	3-5%	-8 to -12%
21-35	Moderate Conservative	35/65	4-6%	-12 to -18%
36-50	Moderate	50/50	5-7%	-18 to -25%
51-65	Moderate Growth	65/35	6-8%	-25 to -32%
66-80	Growth	80/20	7-9%	-32 to -40%
81-100	Aggressive Growth	95/5	8-11%	-40 to -50%

Each model is defined by a strategic asset allocation with target weights and permissible ranges for each asset class, along with specific fund or ETF selections that implement the allocation. Models should be reviewed and rebalanced on a defined schedule (typically quarterly or semi-annually).

Suitability alignment: The risk profile alone does not determine the recommendation. The advisor must also consider:

• Time horizon — a young investor with a long horizon may be profiled as moderate but could reasonably be placed in a growth model, while a retiree with the same risk score needs more conservative positioning due to sequence-of-returns risk.
• Income needs — a prospect requiring portfolio income may need a model tilted toward income-producing assets, regardless of risk score.
• Tax sensitivity — a taxable account may warrant a tax-managed version of the model (municipal bonds, tax-loss harvesting overlay, low-turnover equity strategies).
• Concentrated positions — a prospect with a large single-stock position may need a transition strategy rather than an immediate full model assignment.
• ESG preferences — if the prospect has environmental, social, or governance preferences, the firm may offer ESG-screened variants of its standard models.

Documenting the recommendation rationale: The proposal must articulate why this specific model is appropriate for this prospect. The rationale should reference the risk profile score, the model's risk-return characteristics, and how the recommendation aligns with the prospect's stated objectives, time horizon, and constraints. This documentation serves both as a client communication tool and as a suitability record for compliance purposes.

Proposal Document Components

A complete investment proposal typically includes the following sections:

Executive summary — a one-page overview of the recommendation: who the client is, what is being recommended, why it is appropriate, and the expected outcome. The executive summary is often the only page some decision-makers read in detail; it must be clear and compelling.

Client profile recap — a summary of the prospect's financial situation as understood by the advisor: personal information, financial goals, time horizon, risk profile score and interpretation, income and expense summary, tax situation, and any special circumstances. This section demonstrates that the advisor listened during discovery and correctly understands the prospect's needs.

Current portfolio analysis (if applicable) — for prospects with existing investments, this section provides:

• Holdings list with current market values
• Asset allocation breakdown (pie chart and table) compared to the recommended allocation
• Risk metrics: portfolio standard deviation, beta, Sharpe ratio, maximum drawdown estimate
• Expense analysis: weighted average expense ratio, total annual cost in dollars
• Concentrated position identification: any single holding exceeding 5-10% of the portfolio
• Style analysis: Morningstar style box mapping, factor exposures
• Income analysis: current yield, income projection
• Tax lot summary: unrealized gains and losses, short-term vs long-term, estimated tax impact of liquidation

Recommended portfolio — the core of the proposal:

• Asset allocation targets with visual representation (pie chart, bar chart)
• Holdings list: each fund or ETF, its asset class role, expense ratio, target weight, and dollar amount
• Risk-return profile of the recommended portfolio: expected return, standard deviation, Sharpe ratio, maximum drawdown estimate
• Comparison table: current portfolio vs recommended portfolio on key metrics
• Income projection: expected yield and annual income from the recommended portfolio

Fee schedule — a complete disclosure of all costs the client will bear (see Fee Illustration section below).

Historical performance context — how the recommended model or a similar allocation has performed historically. This section requires careful attention to compliance (see Performance Projections and Disclaimers section below). Common presentations include:

• Historical returns of the model portfolio (if a track record exists) or a blended benchmark representing the target allocation
• Calendar-year returns showing both up and down years
• Growth of $1 million chart over a trailing period (e.g., 10 or 20 years)
• Performance during specific market events (2008-2009 crisis, 2020 COVID drawdown, 2022 rate shock)

Scenario projections — forward-looking analysis showing potential outcomes:

• Monte Carlo simulation results: probability of meeting the client's goal, median outcome, 10th percentile (bad case), 90th percentile (good case)
• Straight-line projections at expected return (with explicit disclaimer that this is illustrative only)
• Stress test scenarios: how the portfolio would perform in a repeat of historical crises

Disclaimers and disclosures — required legal language (see Compliance Review section below).

Next steps — a clear call to action: sign the advisory agreement, fund the account, and begin investing. Include a timeline for implementation.

Fee Illustration

The fee illustration section of the proposal must present costs clearly, completely, and in compliance with fee disclosure requirements. Prospects make decisions based on fees; incomplete or misleading fee disclosure undermines trust and creates regulatory risk.

Advisory fee presentation:

• Present the firm's fee schedule with all tiers and breakpoints. For a tiered schedule, show both the marginal rate at each tier and the blended (effective) rate for the prospect's specific asset level.
• Example tiered fee schedule illustration for a $2M portfolio:

Tier	Rate	Assets in Tier	Fee for Tier
First $500K	1.00%	$500,000	$5,000
Next $500K	0.85%	$500,000	$4,250
Next $1M	0.75%	$1,000,000	$7,500
Total	Blended: 0.8375%	$2,000,000	$16,750/year

• Show the fee in both percentage and dollar terms. Dollar amounts are more tangible to prospects. (Reg BI requires disclosure of material fees and costs but does not prescribe dollar-amount illustrations; presenting dollar figures is a best practice for making the disclosure concrete.)
• Specify billing frequency (quarterly in advance or arrears) and the per-quarter dollar amount.

Fund-level expense disclosure (fee-on-fee):

• Disclose the weighted average expense ratio of the funds in the recommended portfolio.
• Show the total annual cost combining advisory fees and fund expenses.
• Example: Advisory fee 0.84% + weighted average fund expense ratio 0.12% = total annual cost 0.96%, or $19,200 on a $2M portfolio.
• For proposals recommending funds-of-funds or wrap programs with underlying fund costs, the layered fee structure must be made transparent.

Total cost of ownership:

• Beyond advisory fees and fund expenses, disclose any other costs: custodian fees, transaction costs (if applicable), account maintenance fees, wire fees, and any other charges.
• Present a single "all-in" annual cost figure and percentage so the prospect can compare to alternatives.

Breakpoint analysis:

• If the prospect's assets are near a fee tier breakpoint, show the impact of consolidating additional assets to reach the next lower rate.
• Example: "At your current $475,000, your blended rate is 1.00%. By consolidating an additional $25,000, your blended rate drops to 0.985%, saving approximately $75 per year. At $1,000,000, your blended rate is 0.925%."

Fee comparison vs alternatives:

• Prospects often compare advisory fees to robo-advisors, self-directed brokerage, or other advisory firms. The proposal may include a comparison showing the additional services provided for the advisory fee (financial planning, tax management, behavioral coaching, rebalancing).
• Be factual and avoid disparaging competitors. Focus on value delivered rather than competitor shortcomings.

Reg BI cost disclosure requirements:

• For broker-dealers making recommendations, Reg BI requires that the cost disclosure be specific to the recommendation, not generic. The prospect must be able to understand the total cost of the specific securities and account type being recommended.
• The Disclosure Obligation under Reg BI requires written disclosure of all material fees and costs, including indirect compensation (12b-1 fees, revenue sharing).

Performance Projections and Disclaimers

Performance presentation in proposals is one of the most compliance-sensitive areas of the advisory business. The SEC Marketing Rule (Rule 206(4)-1 under the Advisers Act, effective November 2022) substantially governs how investment advisers present performance.

Is a proposal "advertising"? Under the Marketing Rule, "advertisement" includes any communication to more than one person (or designed for such use) that offers or promotes advisory services. A one-on-one proposal to a specific prospect is generally not an advertisement if it is truly tailored to that individual. However, if the firm uses a standardized proposal template that is distributed broadly with only minor customization, regulators may view it as advertising. Best practice: treat all performance presentations in proposals as if the Marketing Rule applies, even for one-on-one presentations.

Historical performance presentation:

• If presenting actual model portfolio track records, the Marketing Rule requires: gross and net-of-fee performance shown with equal prominence, a disclosure of whether the performance reflects actual client accounts or a model/hypothetical, the time period covered, and material conditions or assumptions.
• If presenting index or benchmark returns as a proxy for the recommended allocation, clearly label them as benchmark returns, not the firm's performance. Disclose that the benchmark is not directly investable and does not reflect fees, trading costs, or taxes.

Hypothetical performance:

• The Marketing Rule permits hypothetical performance (including backtested model portfolios) in one-on-one presentations, provided the adviser adopts policies and procedures reasonably designed to ensure the performance is relevant to the recipient's financial situation and investment objectives, and the adviser provides sufficient information for the recipient to understand the assumptions and limitations.
• Required disclosures for hypothetical performance: the results do not represent actual trading, the results were achieved by retroactive application of a model, actual results may differ materially, and the specific methodology and assumptions used.
• Backtested performance must disclose the material assumptions (rebalancing frequency, dividend reinvestment, fund selection dates, any survivorship bias corrections).

Monte Carlo projections:

• Monte Carlo simulations generate a distribution of potential outcomes by running thousands of randomized return scenarios based on the portfolio's expected return, standard deviation, and correlation assumptions.
• Key outputs: probability of achieving the client's goal (e.g., "85% probability of maintaining your income through age 95"), median projected portfolio value at target date, range of outcomes (10th to 90th percentile fan chart).
• Required disclosures: Monte Carlo simulations are hypothetical, based on assumptions that may not reflect future market conditions, do not guarantee results, and are sensitive to the input assumptions (small changes in expected return or volatility can significantly alter the output).
• Do not present Monte Carlo results as predictions. Use language like "based on the assumptions described, the analysis suggests..." rather than "your portfolio will grow to..."

Expected return ranges:

• When presenting expected returns for a recommended portfolio, always present a range rather than a single point estimate. A single expected return figure implies false precision.
• Disclose the methodology: are expected returns based on capital market assumptions from a third-party provider (e.g., BlackRock, J.P. Morgan, Vanguard), the firm's internal research, or historical averages? Each approach has limitations that must be acknowledged.

Required disclaimers (at minimum):

• "Past performance is not indicative of future results."
• "Investing involves risk, including the potential loss of principal."
• "Hypothetical performance results have many inherent limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown."
• "The projections or other information regarding the likelihood of various investment outcomes are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results."
• For tax-related projections: "This analysis is not tax advice. Consult a qualified tax professional regarding your specific situation."

Current Portfolio Analysis

When a prospect has an existing portfolio at another firm, the current portfolio analysis is one of the most persuasive sections of the proposal. It quantifies the specific improvements the prospect will experience by moving to the recommended portfolio.

Holdings review:

• Import the prospect's current holdings from account statements, a CSV export, or an account aggregation tool (ByAllAccounts, Plaid — which absorbed Quovo in 2019 — or Yodlee).
• Classify each holding by asset class, sub-asset class, and style to build a complete picture of the current allocation.
• Identify any holdings that are not transferable in-kind (proprietary funds, annuities with surrender charges, illiquid alternatives).

Risk assessment:

• Calculate the current portfolio's risk metrics: annualized standard deviation, beta relative to a blended benchmark, maximum drawdown over the historical period, Value at Risk (VaR) at 95% confidence.
• Compare these metrics side-by-side with the recommended portfolio. If the current portfolio has higher risk for the same or lower expected return, this is a compelling argument for transition.
• Use risk visualization tools (Riskalyze/Nitrogen Risk Number, Morningstar risk/return scatterplot) to make the comparison accessible to non-technical prospects.

Tax lot analysis:

• For taxable accounts, identify unrealized gains and losses by holding and by tax lot.
• Classify gains and losses as short-term or long-term, as the tax impact differs substantially (short-term gains taxed as ordinary income vs long-term gains at preferential capital gains rates).
• Calculate the estimated tax cost of full liquidation vs a phased transition.
• Identify holdings with large embedded gains that may be candidates for retention or gradual disposition.

Transition cost estimation:

• The transition from current portfolio to recommended portfolio involves costs: capital gains taxes (for taxable accounts), transaction costs (commissions or spreads), and potential market impact for large or illiquid positions.
• Present a transition cost analysis: estimated tax liability, estimated transaction costs, and the net benefit of transitioning (reduced ongoing fees, improved risk-adjusted returns, better diversification) vs the one-time transition cost.
• For large embedded gains, propose a phased transition plan: sell short-term lots and loss positions immediately, transition long-term gain positions over 12-24 months, retain specific holdings that fit within the recommended allocation.

Concentrated position identification:

• Flag any single security representing more than 5% of the portfolio (or a lower threshold per firm policy).
• For each concentrated position, disclose the specific risk: single-stock risk (company-specific, sector-specific), lack of diversification, potential regulatory or insider trading restrictions.
• Propose strategies for managing the concentration: direct sale (with tax analysis), exchange funds, charitable remainder trusts, protective put options, systematic diversification over time.

Improvement quantification: The proposal should clearly quantify the improvements the prospect will experience:

• Fee savings: current total cost vs proposed total cost, in dollars per year
• Risk reduction: current portfolio risk metrics vs proposed, expressed in terms the prospect understands ("Your current portfolio could lose up to $X in a severe downturn; the proposed portfolio limits that to approximately $Y")
• Diversification improvement: number of holdings, asset class coverage, geographic diversification, sector concentration reduction
• Income improvement: current yield vs proposed yield, annual income difference

Compliance Review of Proposals

Every proposal must undergo compliance review before presentation to the prospect. The review ensures suitability documentation, performance presentation, fee disclosure, and disclaimers meet regulatory requirements.

Supervisory review requirements:

• FINRA Rule 3110 (broker-dealers) and SEC guidance for RIAs require supervisory review of communications with the public. While a one-on-one proposal may not technically be "correspondence" or "advertising" under FINRA's definitions, most firm compliance manuals require supervisory sign-off on proposals, particularly those containing performance data or projections.
• The supervisor's review should verify: (1) the recommendation is suitable given the documented client profile, (2) performance data is presented in compliance with the Marketing Rule or FINRA advertising rules, (3) fee disclosure is complete and accurate, (4) all required disclaimers are present, and (5) any claims about the firm or its services are substantiated.

Advertising rule applicability:

• Under the SEC Marketing Rule, a one-on-one proposal to a specific prospect is generally not an advertisement. However, the proposal becomes advertising if it is used with more than one person or is designed for broad distribution. Template proposals with standardized performance and marketing language should be treated as advertisements.
• FINRA Rule 2210 classifies communications as institutional, retail, or correspondence. A proposal to a retail prospect is typically retail communication, requiring principal pre-approval if it makes performance claims or recommendations.

Performance presentation rules:

• If the proposal includes actual performance of the firm's models or composites, the Marketing Rule requires gross and net performance with equal prominence, the period covered, and material assumptions.
• If the proposal includes hypothetical or backtested performance, it must include disclosures about the limitations of hypothetical results and the methodology used.
• GIPS-compliant firms must present performance consistent with GIPS standards if they claim GIPS compliance; mixing GIPS and non-GIPS presentations creates confusion and potential violations.

Fee disclosure adequacy:

• Verify that the fee illustration includes all layers of cost: advisory fees, fund expenses, transaction costs, custodian fees, and any other charges.
• Confirm that fee tier calculations are accurate for the prospect's specific asset level.
• Ensure that any fee comparison to alternatives is fair and not misleading.

Suitability documentation:

• The compliance reviewer should verify that the prospect's risk profile, investment objectives, time horizon, and financial situation are documented and that the recommendation is consistent with this profile.
• If the recommendation deviates from the standard model mapping (e.g., the risk score maps to Moderate but the advisor recommends Moderate Growth), the rationale for the deviation must be documented and approved.

Proposal Technology and Automation

Modern proposal generation relies on technology platforms that integrate data, automate document assembly, and streamline the workflow from discovery to delivery.

Major proposal generation platforms:

• Orion Portfolio Solutions — provides proposal generation integrated with its portfolio management and reporting platform. Features include model portfolio comparison, fee illustration, risk analysis, and automated document assembly. Strong integration with Orion's trading and reporting ecosystem.
• Black Diamond (SS&C Advent) — offers proposal tools as part of its wealth platform, including prospect pipeline tracking, proposal document generation, performance comparison, and integration with its reporting and billing systems.
• Riskalyze/Nitrogen — specializes in risk profiling and risk-aligned proposals. The Risk Number system provides an intuitive way to show prospects their current portfolio risk vs the proposed portfolio risk. Proposals include the "95% Historical Range" visualization that resonates with prospects. Nitrogen has expanded from risk assessment into a broader proposal and financial planning workflow.
• MoneyGuidePro (Envestnet) — primarily a financial planning tool, but its proposal capabilities include goal-based projections, Monte Carlo analysis, and integration with Envestnet's managed account platform. Proposals frame the investment recommendation within the context of the client's overall financial plan.
• RightCapital — financial planning platform with proposal generation that includes tax-aware projections, estate planning visualizations, and a modern client-facing interface. Strong with younger advisory firms and RIAs focused on comprehensive planning.
• Orion Risk Intelligence (formerly HiddenLevers, acquired by Orion in 2021) — stress testing and scenario analysis capability that generates proposal-ready reports showing how current and proposed portfolios would perform under various economic scenarios.
• Advyzon — all-in-one platform combining CRM, portfolio management, reporting, billing, and client portal with proposal generation capabilities.

Template management:

• Firms should maintain a library of approved proposal templates covering common scenarios: new prospect with no current portfolio, prospect with existing brokerage account, prospect with employer retirement plan rollover, institutional prospect, and trust/entity prospect.
• Templates should be version-controlled and require compliance approval before deployment. When performance data or model portfolio holdings change, all affected templates must be updated.
• Template customization should be limited to client-specific data fields; the narrative sections, disclaimers, and compliance language should be locked to prevent advisors from inadvertently making non-compliant modifications.

Data integration:

• Proposal systems should pull data from multiple sources: CRM (prospect information), risk profiling tool (risk score), portfolio management system (model portfolio details), market data provider (current prices, historical returns), and custodian (existing account data for current portfolio analysis).
• Account aggregation tools (Plaid, Yodlee, ByAllAccounts) can import the prospect's held-away account data for current portfolio analysis, eliminating manual data entry from account statements.

Digital delivery:

• Proposals should be deliverable digitally through a secure client portal or encrypted email, in addition to printed copies for in-person presentations.
• Interactive digital proposals allow the prospect to explore different scenarios, adjust assumptions, and compare models — increasing engagement and reducing the number of revision cycles.
• Digital delivery creates an audit trail: when the prospect received the proposal, how long they viewed it, and which sections they engaged with. This data helps advisors prepare for the presentation meeting.

E-signature for advisory agreements:

• When the prospect accepts the proposal, the advisory agreement (Investment Management Agreement or similar) should be available for immediate electronic signature within the proposal platform or via integration with an e-signature provider (DocuSign, Adobe Sign).
• The signed advisory agreement triggers the onboarding workflow: account opening, funding, and initial investment in the recommended model.
• Capturing acceptance digitally reduces the time between proposal acceptance and first investment, which is critical because prospect commitment can wane with delay.

Worked Examples

See references/examples.md for three end-to-end worked examples — a $2M 401(k) rollover proposal (including NUA considerations), a current-vs-proposed comparison against a broker-dealer portfolio, and a proposal template system for a 25-advisor firm. Load it when the user needs a full scenario walkthrough.

Common Pitfalls

• Presenting hypothetical or backtested performance without the required disclosures about limitations, methodology, and the fact that results do not represent actual trading
• Showing only gross-of-fee performance without equal-prominence net-of-fee returns, violating the SEC Marketing Rule
• Using Monte Carlo projections without disclosing the input assumptions (expected return, standard deviation, correlation matrix) or the limitations of the simulation
• Mapping risk scores to models mechanically without considering time horizon, income needs, and other suitability factors that may warrant a different recommendation
• Omitting fund-level expenses from the fee illustration, presenting only the advisory fee as the total cost
• Failing to disclose surrender charges, tax consequences, or other transition costs when recommending a move from an existing portfolio
• Generating proposals with stale model portfolio data (holdings or allocations that have changed since the last rebalance)
• Allowing advisors to customize disclaimer language or remove required disclosures from proposal templates
• Presenting a current portfolio analysis that cherry-picks unfavorable metrics to make the current portfolio look worse than it is — comparisons must be fair and balanced
• Not documenting the rationale for recommending a model that deviates from the standard risk profile mapping
• Treating the proposal as a one-time document rather than versioning it — when assumptions change or the prospect requests modifications, the firm must track which version was presented and accepted
• Neglecting to address the prospect's existing concentrated positions, restricted stock, or illiquid holdings in the transition plan
• Using projected returns without clearly labeling them as hypothetical and subject to the Marketing Rule's requirements for hypothetical performance

Cross-References

• asset-allocation (wealth-management plugin): Strategic and tactical asset allocation frameworks that underpin model portfolio construction and the recommended allocation in proposals
• investment-policy (wealth-management plugin): IPS construction defines the policy framework that the proposal recommendation must satisfy; the proposal is often the precursor to a formal IPS
• performance-reporting (wealth-management plugin): Ongoing performance reporting follows the same presentation standards established in the proposal; consistency between proposal projections and actual reporting builds credibility
• performance-metrics (wealth-management plugin): Risk-return metrics (Sharpe ratio, standard deviation, max drawdown) used in proposals to compare current vs recommended portfolios
• fee-disclosure (compliance plugin): Regulatory requirements for fee presentation that the proposal's fee illustration section must satisfy
• reg-bi (compliance plugin): Regulation Best Interest's Care and Disclosure Obligations govern how broker-dealers present recommendations and costs in proposals
• client-disclosures (compliance plugin): Form ADV, Form CRS, and other required disclosures that must accompany or be delivered alongside the proposal
• investment-suitability (compliance plugin): Suitability standards that the proposal recommendation must satisfy; the risk profile and model mapping must align with documented suitability requirements
• advertising-compliance (compliance plugin): SEC Marketing Rule and FINRA advertising rules that govern performance presentation, testimonials, and promotional claims in proposals
• financial-planning-integration (advisory-practice plugin): Proposals increasingly embed financial planning elements (retirement projections, goal funding analysis); the planning integration skill covers how to connect proposals to comprehensive financial plans
• quantitative-valuation (wealth-management plugin): Valuation frameworks relevant when proposals include analysis of individual securities in the prospect's current portfolio
• diversification (wealth-management plugin): Diversification principles used to evaluate current portfolio concentration and demonstrate the improvement offered by the recommended model