On-Demand Wealth Management/Sales Score: 3.55/5.0
On-Demand Knowledge Work | Internal/Advisor audience
Financial advisors (or relationship managers at banks) spend only ~25% of their time on revenue-generating activities (client meetings, transaction execution). Remaining 75% spent on administrative overhead, inbound service requests, and low-probability prospecting activities. Lead identification is ad hoc: advisors rely on referrals, past clients, or manual list-building. Leads generated are often low-intent or low-probability. Advisor capacity is fixed (each advisor can serve 200-400 households); growth requires hiring more advisors (expensive). Turnover is high (difficult work, low time on selling). Technology adoption (CRM, prospecting tools) is inconsistent across advisor base.
Data Sources:
Data Classification:
Data Quality Requirements:
CRM data completeness: 80%+ of customers with recent interaction history (last 12 months). Life event data freshness: 30-day lag from event occurrence. Email engagement data: real-time (updated daily). Lead qualification accuracy: 70%+ of prospects identified have high intent (evidenced by historical conversion rates). Conversion tracking accuracy: 100% (all conversions captured in CRM or manual update).
Integration Complexity: Medium , Requires CRM integration for customer and interaction data. Integration with 3-5 life event data providers (commercial services like Equifax Mosaic or Clarity). Email marketing platform integration (Marketo, HubSpot). LinkedIn API integration for job change signals. Core banking integration for account and transaction data. Lead qualification and routing logic requires historical conversion pattern analysis. Personalization engine requires customizable email/SMS templates and meeting recommendation logic.
| Criterion | Weight | Score (1-5) | Weighted |
|---|---|---|---|
| Time Recaptured | 15% | 5 | 0.75 |
| Error Reduction | 10% | 3 | 0.30 |
| Cost Avoidance | 10% | 4 | 0.40 |
| Strategic Leverage | 5% | 5 | 0.25 |
| Data Availability | 15% | 4 | 0.60 |
| Process Clarity | 15% | 3 | 0.45 |
| Ease of Implementation | 10% | 3 | 0.30 |
| Fallback Available | 10% | 4 | 0.40 |
| Audience (Int/Ext) | 10% | 5 | 0.50 |
| Composite | 100% | 3.55 |
Advisor time savings are massive: 25% of time on revenue-generating activities → 35-40% with agent support (10x more leads serviced, same time). Lead quality improvement: agent identifies high-probability prospects vs. random cold calling. Revenue impact: if each advisor serves 250 households at $50K/household AUM, 10x lead multiplication = $12.5M additional AUM per advisor. Regulatory risk is low (prospecting is standard business practice; advisor retains final approval). Fallback is straightforward: advisors conduct prospecting manually if agent fails. Scale impact: enables one advisory firm to serve 10x more clients without proportional advisor hiring. Internal audience. Clear business model alignment: agents enable growth without scaling headcount.
Sprint 0 (2 weeks) + 2 build sprints (4 weeks)
Sprint 0: Prospect identification criteria definition, life event taxonomy, lead qualification rules, personalization framework, advisor workflow integration
Build Sprints 1-2: CRM and data source integration, life event data provider integration, behavioral signal processing, lead scoring model, personalized outreach engine, conversion tracking
From zero to a governed, production agent in 6 weeks.
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