A Proposal Is Not a Document. It Is a Diagnosis.

Most advisors don’t lose prospects because they lack investment knowledge. They lose them because the prospect can’t clearly see the difference between one advisor and another.

The traditional process makes that problem worse. An advisor gathers statements, opens several systems, reviews holdings, checks risk, searches for tax issues, and then starts writing from a blank page. By the time the proposal is ready, the urgency from the first meeting may have faded.

A better proposal begins with the prospect’s portfolio. It shows, in specific numbers, what they own, what may have been overlooked, and what deserves attention next.

That’s where trust starts.

The Moment the Prospect Sees the Gap

For this demonstration, DeepVest analyzed a fictional $986,000 portfolio with 31 holdings in one account. It was created solely for demonstration and compliance purposes; no real prospect information is shown.

The analysis found that the account was effectively 100% equity and 98.3% concentrated in the United States, with no meaningful fixed-income, international, or alternative exposure. Nine holding pairs had correlations above 0.70. NVIDIA (NVDA) and Palantir Technologies (PLTR) represented about 6% of portfolio weight but generated 46% of total gains.

Instead of saying, “We believe your portfolio could be better diversified,” the advisor can say:

“Your portfolio has performed well, but nearly half of the gains came from two positions, nine pairs of holdings tend to move together, and there’s almost no structural ballast outside U.S. equities.”

That isn’t a generic opinion. It’s a diagnosis. The workflow that follows shows how DeepVest AdvisorLab moves from raw prospect data to extracted holdings, advisor-reviewed findings, and a client-ready report.

From Client Data to Advisor Evidence

AdvisorLab follows a simple workflow: upload statements, extract holdings, review suitability gaps, and generate a client-ready report.

Advisors can upload documents directly. DeepVest also integrates with CRMs like Wealthbox and Salesforce and 50+ custodians including Schwab and Fidelity, automatically syncing relevant client information.

DeepVest begins with the prospect’s data, not a generic template. It can examine allocation, concentration, correlations, performance, drawdowns, tax opportunities, withdrawal sustainability, and account structure before the advisor decides what belongs in the final proposal.

All client information is protected within DeepVest’s SOC 2 Type II-certified environment.

The output is an evidence base the advisor can inspect, challenge, edit, brand, and customize before anything reaches the prospect.

Thirteen CFA and CFP Level AI agents Working Before the Next Meeting

DeepVest’s multi-agent workflow can run thirteen specialized analyses covering benchmark and model-portfolio comparisons, performance, stress testing, correlation, look-through concentration, cash drag, asset location, Roth conversion, tax optimization, tax-loss harvesting, fixed income, and portfolio sustainability.

These are CFA- and CFP-level calculations that often require several tools, spreadsheets, and significant staff time. The advantage isn’t simply speed. It is completeness.

A portfolio that looks diversified may still contain highly correlated positions. Strong returns might depend on two securities. A low-cost portfolio could still be tax-inefficient. A strategy that performed well may still fail the client’s withdrawal needs. Here’s a screenshot from DeepVest of the thirteen AI Agents in our investment brain:

What the Proposal Can Show and Not Merely Claim

The example report didn’t stop at “diversification needs improvement.” It quantified the problem.

The portfolio had a 66.8% estimated 30-year success probability under the modeled withdrawal assumptions meaning a 33.2% probability of depletion. Its modeled safe withdrawal rate was 2.32%. Historical stress testing showed a 50.2% maximum drawdown during the Global Financial Crisis, 30.63% during COVID-19, and 23.07% during the 2022 rate-hike period.

The analysis also identified $46,920 in potentially harvestable tax losses across ten positions, subject to verification of holding periods and tax circumstances.

These numbers turn the proposal into a decision framework:

How much downside can the prospect tolerate?
Is performance dependent on a few names?
Does the withdrawal plan have enough margin?
Are tax opportunities sitting unused?
Which risks should be addressed first?

DeepVest then turns those calculations into a clear hierarchy of risks, showing the advisor what matters most and how the portfolio may behave under pressure:

Schedule a demo to see how DeepVest AdvisorLab can turn prospect statements into an advisor-reviewed analysis and client-ready proposal.

Why Specific Numbers Change Prospect Psychology

Prospects rarely switch advisors because of another claim about personalized service. They switch when they feel understood, see a meaningful problem clearly, and believe the advisor has a credible process for addressing it.

Specificity reduces uncertainty and signals competence.

“Your portfolio is concentrated” is easy to dismiss.

“Two holdings generated 46% of your gains, nine pairs moved together, and a severe historical stress period produced a 50.2% drawdown” is harder to ignore.

This isn't fear-based selling. The advisor can acknowledge what worked, show where the portfolio may be fragile, and explain which issues require deeper review. That balance reduces defensiveness. The prospect doesn’t feel attacked. The prospect feels seen.

A Proposal That Already Knows What Matters

The finished report can move from key findings to allocation and concentration, geographic and sector exposure, sustainability, stress testing, tax efficiency, underperformers, performance drivers, and next steps.

DeepVest can also identify what remains unverified. Tax savings may depend on holding periods. Suitability requires goals, liquidity needs, time horizon, and risk tolerance. Any proposed allocation still requires advisor review.

That transparency strengthens the proposal. The advisor is demonstrating disciplined judgment, not artificial certainty.

The final report in AdvisorLab connects diagnosis to action by showing concentration, diversification gaps, tax opportunities, recommended improvements, and the next conversation the advisor should have with the prospect:

Human Judgment, Multiplied

DeepVest identifies patterns, ranks risks, tests assumptions, and helps translate technical findings into a client conversation. The advisor remains in control. The advisor decides which assumptions are appropriate, which findings are material, which trade-offs fit the prospect, and how the proposal should be framed.

Machine intelligence expands the depth and speed of the analysis. Human judgment supplies context, empathy, accountability, and fiduciary responsibility. The result isn’t a faster generic proposal. It’s a faster personalized one.

The Competitive Advantage Is Clarity

A proposal shouldn’t just tell a prospect that the RIA is different. It should let the prospect experience the difference.

When an advisor enters the next meeting with quantified concentration risk, historical stress results, tax opportunities, sustainability analysis, and a prioritized action plan, the conversation moves beyond promises.

The prospect can see what the advisor noticed, what needs attention, and what the relationship could look like after becoming a client. That’s how a proposal becomes more than a sales document. It becomes the first piece of advice.

For growth-focused RIAs, the practical advantage is clear: faster follow-up, stronger proposals, higher conversion potential, and more assets under management earned through better analysis, not louder marketing.