AI Portfolio Risk and Proposal Software for Advisors: 5 Tools Compared (2026)

What this software does, and where AI now fits

Portfolio risk and proposal software covers one sales-critical workflow: take a prospect's current holdings, score the risk, compare it with the client's stated tolerance, and produce a proposal (and often an investment policy statement) that recommends something better. It is the meeting where a prospect becomes a client, so speed and clarity matter.

AI shows up at three points in that workflow:

1. Getting the data in. Reading a PDF or image of a brokerage statement and turning it into holdings, so nobody keys in 40 positions by hand.
2. Building the recommendation. Optimizing an allocation against a risk target, or explaining why one portfolio scores better than another in plain English.
3. Writing it up. Drafting proposal commentary, the IPS and the review deck from the client's goals and meeting notes.

The five tools below cover all three in different combinations. Every description restates what the vendor says on its own site; we did not run hands-on tests. For the wider category, including platforms such as Orion and Addepar, see portfolio analytics & proposals.

The five tools side by side

Two buying patterns stand out. If you sell per advisor and want a trial this week, OnPointe and Kwanti publish per-user prices and list free trials. If you buy for the firm, StratiFi's unlimited-license annual plans and Investipal's all-in-one scope are built for that conversation.

StratiFi: statement to proposal, plus compliance alerts

StratiFi says its AI extracts positions from any custodian statement for instant analysis, then builds proposals and investment policy statements with e-signature in one workflow. Its PRISM score rates portfolios on a 1-10 scale across volatility, correlation, tail risk, beta and concentrated stock risk. What sets it apart is the compliance dashboard, which StratiFi says monitors every account for Reg BI, mutual fund share-class, concentration and suitability issues.

Pricing is published and annual: Essential $5,995 a year (500 accounts), Premium $16,995 (1,500 accounts, custom RTQ and fact finder) and Platinum $39,995 (4,000 accounts), all with unlimited licenses. That math works best for multi-advisor firms. See StratiFi pricing.

Nitrogen: the risk-tolerance standard, sold by Center

Nitrogen, formerly Riskalyze, now sells separate Centers on annual terms. Risk Center ($199 a month) holds the risk tolerance questionnaire, statement capture, proposals, stress tests and IPS report; Research Center is $149, and Income, Tax, Legacy and Insurance Centers are $99 each, or $495 a month for the bundle. Its Nucleus AI engine runs across the suite, analyzing a 1040, extracting a PDF statement and comparing current and proposed portfolios, and Nitrogen says it operates within an ISO 42001 certified AI management framework.

Pick Nitrogen if your clients already know their Risk Number or you want tax and insurance analysis from the same vendor. Compare it head to head in StratiFi vs Nitrogen and OnPointe vs Nitrogen.

OnPointe: per-user pricing and the new Otto optimizer

OnPointe Software makes OnPointe Risk Analyzer and a Retirement Planner. On October 28, 2026 it launched Otto, an AI assistant and multi-factor portfolio optimizer inside Risk Analyzer. OnPointe says Otto explains the exact figures on screen (risk score, growth, drawdown, Sharpe and Calmar), shows what-if changes side by side, reads the client's risk questionnaire and builds allocations from the advisor's own models, funds and imported assets within rules written in plain language, such as "no more than 15% with this manager." It says the optimizer was designed for advisors who mix 10, 20 or 30+ TAMP or third-party strategies, and that every conversation is on the record.

OnPointe's pricing page shows per-user plans of $50 and $100 a month, and a second grid of $99 and $129 that adds the Retirement Planner, FIA Illustrator and CRM integration; the page doesn't label which grid applies to which product, so confirm before you buy. Per-user plans come with a 7-day free trial, and the optimizer has its own 10-day trial. Its Retirement Planner is unusual in building fixed indexed annuities, income riders and IUL borrowing into a plan, which suits hybrid advisors. See OnPointe pricing.

Investipal: one flow from statement to first bill

Investipal covers the most ground. It reads statements from PDF, image, spreadsheet or Plaid with per-cell source citations, scores clients on a composite of Portfolio, Behavior and Risk Capacity, compares current and proposed portfolios (VaR, CVaR, capture ratios, fees), stress tests across 14 historical scenarios and runs Monte Carlo simulations that default to 1,000 scenarios over 20 years. The proposal studio adds AI commentary and shares the result as a white-label microsite; the IPS, onboarding, e-signature and AUM, flat, tiered or subscription billing follow in the same system.

Its Alpha agent builds proposals end to end, prepares portfolio-review decks before meetings and pulls client facts out of conversations to update the profile. Investipal integrates with Salesforce, Wealthbox, Redtail, GReminders, Schwab and Altruist, but says client-portal performance reporting connects to Schwab only today. It publishes no prices. See Investipal vs StratiFi.

Kwanti, and where implementation tools fit

Kwanti offers portfolio analysis, stress testing, model management, white-labeled proposals and risk profiling, with PDF statement extraction as a paid add-on. It publishes per-user prices and a free trial on its pricing page, which makes it an easy tool to test on two or three real prospect files.

Proposal software stops at the recommendation. If the plan calls for direct indexing or tax-aware transitions, implementation engines such as Vise and Pave Finance take over; both quote pricing on request.

How to choose, and what to check with compliance

1. Run the same statement through each trial. Use one anonymized, messy statement (annuities, SMAs, a 401(k)) and count the corrections you make.
2. Price for your real headcount. Per-user (OnPointe, Kwanti), per-Center (Nitrogen) and per-account (StratiFi) models flip order depending on firm size.
3. Ask how the AI is supervised. Who can change an optimizer's rules, which capability tier is on, and where AI conversations are stored.
4. Check the hand-offs. Does the signed proposal reach your CRM, onboarding and billing, or does someone rekey it?

FINRA's 2026 oversight report says its rules are technology-neutral and that generative AI can implicate supervision, communications and recordkeeping rules; it suggests storing prompt and output logs and having humans review outputs. For RIAs, SEC Rule 204-2 requires keeping written communications relating to recommendations for at least five years. Keep the AI-built draft, the advisor's edits and the final proposal together. Our AI vendor due-diligence guide has the questions to send each vendor.