Growth in 2025 will accrue to firms that can scale personalization and expand access to private markets with institutional discipline. Direct indexing ended 2024 at $864.3B AUM, nearly double 2021 levels and compounding at ~22%, outpacing ETFs, mutual funds, and traditional SMAs—clear evidence that investors will pay for customization and after-tax outcomes[1]. In parallel, private credit continues to offer a 150–340 bps yield premium over public markets (typically 200–300 bps), sustaining client demand for durable income and lower mark-to-market volatility amid rate and geopolitical uncertainty[2].
So, what for wealth managers? The next leg of wallet share will come from pairing tax-aware, values-aligned direct indexing with risk-managed private credit access—and doing it at scale. That requires three capabilities:
- Personalization at scale (advisor-friendly tools for exclusions/tilts and systematic tax-loss harvesting),
- Tech-enabled operating discipline (data quality, workflow automation, integrated compliance), and
- Client education and suitability (clear framing of illiquidity, dispersion, and after-tax value).
This article lays out a practical playbook—where to compete, the capabilities to build, and the metrics that matter—for integrating direct indexing and private credit into core offerings, turning today’s demand into durable, high-margin growth.
Technology that scales personalization and private markets
Technology is the gating factor for turning direct indexing and private credit from niche offerings into core growth engines. The priorities: make personalization repeatable, embed controls into workflows, and integrate data across the front-to-back stack.
Direct indexing at scale depends on advisor-friendly tools that enable real-time exclusions and tilts, systematic tax-loss harvesting, and API-first SMA platforms that integrate with trading and compliance. These capabilities are what sit behind the category’s rapid asset growth and rising advisor adoption, with assets finishing 2024 at $864.3 billion and compounding faster than ETFs, mutual funds, and traditional SMAs1. In practice, the near-term client benefit to measure is after-tax value creation; research widely used by leading managers shows tax management can add roughly 1–2% in annual after-tax excess returns, providing a tangible KPI for pilots[3].
Private credit requires a different—but equally disciplined—tech backbone. AI-driven underwriting and monitoring, document ingestion, and anomaly detection improve due diligence in illiquid markets, while automated cash application and reconciliation increase straight-through processing (STP) and shorten close times in servicing. Recent production examples show STP moving from single digits toward 50%+ with materially faster quarter-end reconciliation, establishing credible targets for operating dashboards[4].
Legacy complexity is the main execution risk. Modernization should focus on decoupling monoliths, exposing data via services, and embedding compliance-by-design. GenAI can accelerate code remediation and documentation—often by orders of magnitude—when paired with robust testing harnesses and guardrails, helping institutions reduce cost and risk while advancing integration roadmaps[5].
What good looks like in 2025:
- Data foundation: a unified security master and tax lot accuracy that supports real-time exclusions/tilts and automated wash-sale checks3.
- Advisor tooling: portfolio construction and proposal workflows that surface after-tax impacts at the model and account level3.
- Advisor education: Targeted training and enablement programs that raise awareness of direct indexing and private credit use cases. With only 18% of advisors using direct indexing today, adoption will lag without structured education on tax optimization benefits, personalization, and compliance guardrails[6].
- Private credit ops: AI-enabled notice-to-cash with STP and time-to-close as top-line KPIs4.
- Integration: API-first connectivity to OMS/EMS, CRM, and compliance engines; controls embedded in the trade lifecycle5 .
Firms that prioritize these capabilities will translate client demand into scalable personalization and institutional-grade private market access—two engines of durable, higher-margin growth.
The Wealth Product Innovation Framework (WPIF): Three levers to scale
To convert demand for direct indexing and private credit into durable growth, firms need a simple operating model. The WPIF focuses on three levers—personalization, technology enablement, and operating scale—each with clear actions and metrics.
1) Personalization at scale (client-centric design)
Objective: Match client preferences and tax situations with the right building blocks—direct indexing for customization and after-tax outcomes; private credit for income and diversification.
How to execute:
- Use segmentation and analytics to surface candidates for values-aligned and tax-aware direct indexing; position private credit by risk/return and liquidity needs.
- Build standardized templates for ESG exclusions/tilts and tax-loss harvesting so advisors can implement quickly.
What to measure: percent of eligible households in direct indexing; realized after-tax value (target ~1–2% tax alpha where applicable); penetration of values-aligned mandates.
Evidence base: Personalization is a top driver of loyalty and growth in wealth; direct indexing assets finished 2024 at $864.3B with category growth outpacing ETFs, mutual funds, and traditional SMAs[7]. Systematic tax management can add roughly 1–2% after-tax excess returns.
2) Technology enablement (tools, data, controls)
Objective: Make personalization and private-market access repeatable, compliant, and advisor-friendly.
How to execute:
- Deploy API-first SMA/direct indexing platforms that support real-time exclusions/tilts, wash-sale checks, and automated rebalancing.
- For private credit, apply AI to underwriting and monitoring, automate document ingestion and anomaly detection, and instrument the notice-to-cash lifecycle.
- Where appropriate, use tokenization patterns to streamline back-office workflows and transparency in private credit servicing.
What to measure: time-to-proposal; automation rate of tax lots and compliance checks; STP rate and time-to-close in private-credit servicing.
Evidence base: Firms are lifting STP from single digits toward 50%+ and shortening quarter-end reconciliation when applying AI to private-credit operations. Tokenized private-credit pilots provide templates for workflow efficiency and transparency[8]. GenAI accelerates legacy modernization when paired with strong testing and guardrails.
3) Operating scale (governance, process, integration)
Objective: Grow efficiently while reducing risk and maintaining client experience.
How to execute:
- Standardize advisor workflows (intake → proposal → implementation → review) with embedded controls and auditability.
- Integrate CRM, OMS/EMS, and compliance engines; automate exception handling; establish “control rooms” for private-credit servicing.
What to measure: unit cost per account/mandate; cycle time from proposal to funded account; exceptions per 1,000 accounts; STP and close-time benchmarks (e.g., ≥50% STP; ~3-day quarter-end reconciliation in servicing operations).
Evidence base: Operating dashboards anchored on STP and reconciliation time are becoming credible benchmarks for private-credit servicing performance.
The WPIF is flexible: advisory-led firms can start with personalization; platform-led firms can begin with technology enablement. Executed together, the three levers turn direct indexing and private credit from attractive add-ons into core engines of AUM growth and margin expansion.
From Framework to Action: Phased Implementation
Implementing the WPIF requires a structured, phased approach that links strategy to measurable outcomes. Firms that anchor execution in data and technology see higher adoption, better client outcomes, and scalable efficiency.
1) Assess client demand
- Objective: Identify candidates for direct indexing and private credit using segmentation, analytics, and risk profiling.
- Execution: Map households to values-aligned and tax-sensitive mandates (direct indexing) and risk/return profiles for private credit.
- Measure: Compare penetration to market baselines; direct indexing closed 2024 at $864.3B in AUM, nearly double 2021, signaling strong client pull.
2) Pilot technology
- Direct indexing: Launch tax-aware, customizable SMAs; track after-tax return lift (“tax alpha”) as a KPI (~1–2% target).
- Private credit: Deploy AI in the notice-to-cash lifecycle—data extraction, categorization, reconciliation—and track STP and close times.
- Measure: Pilot cohort outcomes; after-tax lift, STP %, and processing cycle times inform readiness to scale.
3) Scale operations
- Execution: Expand pilots meeting threshold criteria (e.g., STP ≥50%, quarter-end reconciliation ≤3 days) into enterprise workflows. Automate exception handling and integrate structured outputs into downstream systems.
- Measure: Operational efficiency (cost per account, cycle times), client experience (turnaround time), and adoption metrics.
4) Track and report impact
- Execution: Monitor KPIs quarterly. Track after-tax returns in direct indexing, STP and reconciliation in private credit, and AUM growth versus the broader category.
- Measure: Ensure pilots deliver both operational and client-level impact; adjust thresholds and processes based on real-world data.
Case Studies
Case Study A — Private Credit Automation
S&P Global Market Intelligence documents AI-driven private credit servicing: STP improved from ~5% to 50%, with quarter-end reconciliation completed in three days4. Firms can benchmark these metrics for their control-room design.
Case Study B — RIA Direct Indexing Pilot: Personalized Tax Management at Scale
Firm: Goldman Sachs Asset Management (GSAM)[9]
Client: High-net-worth investor with a large, appreciated position in a technology stock from a former employer
Objective: Mitigate single-stock concentration risk through a systematic, tax-managed diversification strategy
Strategy: Implemented a direct indexing approach to gradually reduce the concentrated position over time, aligning with the client’s tax preferences and values
Outcome: Successfully diversified the portfolio while managing capital gains tax, enhancing overall portfolio value, and reducing exposure to the concentrated stock. This case demonstrates the application of direct indexing in addressing specific client needs, offering a scalable solution for wealth managers.
Case Study C — Tokenized Private Credit
S&P Global’s report on tokenized private credit (e.g., Hamilton Lane SCOPE) demonstrates reduced back-office costs and improved transparency via smart contracts8. These production-grade examples offer actionable templates for workflow automation and reporting.
Future Outlook: Driving Growth Through Product and Technology Integration
Wealth management in 2025 will favor firms that combine innovative products with technology-enabled delivery. Direct indexing and private credit, integrated through the Wealth Product Innovation Framework (WPIF), offer a pathway to tailor solutions at scale while maintaining operational efficiency and regulatory compliance.
Client expectations are shifting toward personalization and transparency. ESG-aligned portfolios, tax-optimized strategies, and alternative credit solutions are no longer niche offerings—they are baseline requirements. Firms that embed AI, predictive analytics, and post-quantum cryptography into their workflows can deliver these solutions securely, efficiently, and at scale.
Looking forward, the competitive advantage will come from firms that operationalize innovation. Those that systematically translate insights into scalable execution—through automation, advanced analytics, and integrated platforms—will capture growth, enhance loyalty, and transform client engagement into measurable outcomes.
Success will favor organizations that anticipate change rather than react to it. By aligning product innovation with technology and client-centric strategies, wealth managers can convert evolving market dynamics into sustainable growth, making previously complex strategies like direct indexing and private credit core drivers of AUM and long-term differentiation.
[1] InvestmentNews Almazora, L. (2025) ‘After ending 2024 with $865B, direct indexing has more room to grow’, InvestmentNews, 10 April. Available at: https://www.investmentnews.com/ria-news/after-ending-2024-with-865b-direct-indexing-has-more-room-to-grow/260078 (Accessed: 15 August 2025). Note: The article is credited to Leo Almazora, and the publication date is explicitly stated as April 10, 2025.
[2] T. Rowe Price T. Rowe Price (2025) ‘Private credit’s persistent premium’, T. Rowe Price Insights. Available at: https://www.troweprice.com/en/us/ocredit/insights/private-credits-persistent-premium (Accessed: 15 August 2025). Note: No individual author or specific publication date is provided, so the organization (T. Rowe Price) is used as the author, and the year 2025 is assumed based on the context of the content. The source is not a journal but an insights article from T. Rowe Price.
[3] Parametric Portfolio Associates Parametric Portfolio Associates (2025) ‘Tax-loss harvesting’, Parametric Portfolio Solutions. Available at: https://www.parametricportfolio.com/solutions/wealth-managers/custom-separately-managed-accounts/tax-management/tax-loss-harvesting (Accessed: 16 August 2025). Note: No individual author or specific publication date is provided, so the organization (Parametric Portfolio Associates) is used as the author, and 2025 is assumed based on the context. This is a solutions page, not a journal article.
[4] S&P Global S&P Global (2025) ‘AI in private credit: Raising the bar for STP’, S&P Global Market Intelligence, July. Available at: https://www.spglobal.com/market-intelligence/en/news-insights/research/2025/07/ai-in-private-credit-raising-the-bar-for-stp (Accessed: 16 August 2025). Note: No individual author is specified, so the organization (S&P Global) is used. The publication date is July 2025, as indicated in the URL and context.
[5] BCG Boston Consulting Group (2025) ‘How GenAI is rewriting the rules of legacy tech modernization’, BCG X, 9 June. Available at: https://www.bcg.com/x/the-multiplier/how-gen-ai-rewriting-legacy-tech-modernization-rules (Accessed: 15 August 2025). Note: No individual author is specified, so the organization (Boston Consulting Group) is used. The publication date is provided as June 9, 2025.
[6] Cerulli Associates Cerulli Associates (2025) ‘Direct indexing assets close year-end 2024 at $864.3 billion’, Cerulli Associates Press Releases, 8 April. Available at: https://www.cerulli.com/press-releases/direct-indexing-assets-close-year-end-2024-at-864.3-billion (Accessed: 15 August 2025). Note: No individual author is specified, so the organization (Cerulli Associates) is used as the author. The press release is dated April 8, 2025.
[7] Capgemini Capgemini (2023) ‘Getting personal: Five drivers to power client-centric growth in wealth management’, Capgemini Research Institute. Available at: https://www.capgemini.com/wp-content/uploads/2023/11/WEB_Getting-Personal-%E2%80%93-Five-drivers-to-power-client-centric-growth-in-wealth-management.pdf (Accessed: 15 August 2025). Note: No individual author is specified, so the organization (Capgemini) is used. The publication date is November 2023, as indicated in the document.
[8] S&P Global S&P Global (2025) ‘Tokenized private credit’, S&P Global Research Insights. Available at: https://www.spglobal.com/en/research-insights/special-reports/tokenized-private-credit (Accessed: 16 August 2025). Note: No individual author or specific publication date is provided, so the organization (S&P Global) is used, and 2025 is assumed based on the context. This is a special report, not a journal article.
[9] Goldman Sachs Asset Management. 2024. Case Study on Diversifying Single-Stock Concentration Using Direct Indexing Strategy. Available at: https://am.gs.com/en-us/advisors/case-study/2024/diversifying-single-stock [Accessed 16 August 2025].
