Unified client and household data foundation
Fragmented holdings across custodians, trusts, entities, and alternatives destroy personalization and risk visibility.
- API-first data fabric with real-time and batch connectors to custodians, CRM, PMS, tax systems, and external market data.
- Entity-resolution and householding graph that links people, trusts, LLCs, beneficiaries, and cash-flow relationships.
- MDM, lineage, freshness scoring, and a semantic layer for financial concepts.
- Zero-trust deployment with row-level or attribute-based access control and tamper-evident audit logs.
Portfolio construction, optimization, and rebalancing
HNW portfolios need multi-objective optimization across tax, liquidity, concentration, ESG, and estate goals.
- Multi-objective solver for tax-aware, liquidity-aware, and constraint-driven portfolio construction.
- Monitoring agents that detect drift, tax-loss opportunities, wash-sale issues, and direct-indexing windows.
- Monte Carlo, scenario, and stress testing with explainable outputs.
- Human approval gates and versioned IPS constraints before trades are sent to OMS flows.
Tax, estate, and structure intelligence
Trust administration and entity complexity create high-friction work that should be machine-assisted.
- Document intelligence for trusts, operating agreements, tax returns, and K-1s with confidence scoring.
- Scenario modeling for federal, state, and international tax rules, basis, and projected retirement distributions.
- Knowledge-graph visualizations of ownership and control under different planning paths.
- Proactive agents that flag outdated provisions and draft recommendations with citations to source docs.
Agentic advisor co-pilot and workflow automation
Advisors spend too much time on non-client work that can be orchestrated and reviewed by software.
- Specialized agents for research synthesis, meeting prep, compliance screening, onboarding, and operations.
- An orchestrator with shared memory, tool calling, and goal prioritization while keeping specialist agents simple.
- RAG grounded in firm knowledge, client data, and approved research with source attribution.
- Human-in-the-loop checkpoints and configurable autonomy from draft-only to bounded autopilot.
Real-time risk, compliance, and regulatory agents
Fiduciary duty and recordkeeping require the same controls for agents that humans must follow.
- Continuous monitoring for communications, marketing materials, trade patterns, concentration, and IPS drift.
- Policy-as-code guardrails with rules and classifiers that scope every action to regulation and suitability data.
- Decision provenance across inputs, prompts, sources, approvals, and outcomes in tamper-evident logs.
- Model risk governance, versioning, drift detection, and oversight aligned to high-risk AI principles.
Behavioral insights and next-best-action intelligence
Anticipatory service depends on understanding client behavior, life events, and reaction patterns.
- Behavioral modeling that blends sentiment, reaction-to-volatility, and psychographic clustering.
- Next-best-action engine that prioritizes liquidity events, tax windows, estate needs, and suitability triggers.
- Secure client portal and conversational interface with strong governance over factual and contextual output.
- Meeting intelligence that extracts action items and updates CRM records with consent and review.
Research synthesis and alternative asset intelligence
Advisors need fast, grounded synthesis across public markets, private markets, and proprietary research.
- Secure RAG across proprietary research, approved external feeds, filings, transcripts, and alternative data.
- Research agents that produce theses, due diligence summaries, and portfolio impact analysis.
- Event-driven alerts with household-level impact scoring.
- Citation-rich outputs so every recommendation can be traced to its evidence.
Enterprise security, governance, and scalability
Trust, auditability, and platform resilience are core product features, not back-office details.
- Zero-trust architecture with FIPS-grade encryption, customer-managed keys, and tenant isolation options.
- Observability for traces, latency, cost, refusal rates, override rates, and outcome quality metrics.
- Model governance for versioning, approvals, testing, and continuous evaluation.
- Hybrid model strategy that uses deterministic rules and smaller models where appropriate.