On-Demand Wealth Management Score: 3.3/5.0
On-Demand Knowledge Work | External audience
Wealth advisors spend 2-4 hours per household annually on portfolio rebalancing: (1) aggregating multi-custodian account data (brokerage accounts, retirement accounts across multiple custodians), (2) calculating portfolio drift from target allocation, (3) evaluating tax implications (identifying losses for tax-loss harvesting), (4) generating buy/sell recommendations. Larger clients with 5-10 custodian accounts require even more time. Advisors often miss tax-loss harvesting opportunities (tax-aware rebalancing). Performance impact: portfolios that drift significantly underperform vs. rebalanced portfolios. Tax-inefficiency: missing tax-loss harvesting opportunities leaves $5,000-25,000+ annually on the table per household (for high-net-worth clients).
Data Sources:
Data Classification:
Data Quality Requirements:
Custodian account data freshness: real-time (<5 minute lag). Cost basis accuracy: 100% (required for tax-loss harvesting; errors can lead to incorrect tax reporting). Market data freshness: real-time. Target allocation accuracy: 100% (investment policy must be current and accurate). Tax lot data completeness: 100% for high-net-worth clients (required for wash-sale tracking). Rebalancing recommendation accuracy: 95%+ (validated against advisor manual recommendations).
Integration Complexity: High , Requires API integration with 5-10 custodians (Charles Schwab, Fiserity, Vanguard, Interactive Brokers, etc.). Real-time market data integration. Target allocation model management and versioning. Cost basis and tax lot tracking (custodians have inconsistent formats; may require data normalization). Wash-sale rule implementation (complex logic for identifying substantially identical securities). Specific-lot trading execution (requires custodian-by-custodian trade submission and tracking). Tax-loss harvesting recommendation logic (requires ETF/fund analysis to identify optimal replacements).
| Criterion | Weight | Score (1-5) | Weighted |
|---|---|---|---|
| Time Recaptured | 15% | 4 | 0.60 |
| Error Reduction | 10% | 3 | 0.30 |
| Cost Avoidance | 10% | 4 | 0.40 |
| Strategic Leverage | 5% | 4 | 0.20 |
| Data Availability | 15% | 3 | 0.45 |
| Process Clarity | 15% | 4 | 0.60 |
| Ease of Implementation | 10% | 2 | 0.20 |
| Fallback Available | 10% | 4 | 0.40 |
| Audience (Int/Ext) | 10% | 3 | 0.30 |
| Composite | 100% | 3.30 |
Advisor time savings: 2-4 hours per household per year = significant capacity unlock (aggregate across advisory base). Performance improvement: documented 35% above benchmark for rebalanced portfolios (peer-reviewed research). Tax efficiency: documented 20% drawdown reduction through tax-aware rebalancing; tax-loss harvesting generates $5,000-25,000 annually per household. Scale opportunity: enables advisors to serve more clients (fewer hours per client for rebalancing). Regulatory alignment: tax-loss harvesting and performance monitoring support fiduciary standard. Fallback is straightforward: advisor conducts rebalancing manually if agent fails. Internal audience (advisors are bank employees or affiliated advisors). External audience impact (client portfolios are affected) adds governance requirements but manageable with advisory approval gate.
Sprint 0 (2 weeks) + 3 build sprints (6 weeks)
Sprint 0: Custodian integration strategy, target allocation model design, tax-loss harvesting logic design, recommendation workflow
Build Sprints 1-3: Multi-custodian API integration, cost basis and tax lot data consolidation, market data integration, portfolio analysis engine, tax-loss harvesting recommendation engine, wash-sale rule implementation, trade execution workflow, advisor review and approval process
From zero to a governed, production agent in 6 weeks.
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