Industry Solution
Relationship manager intelligence, next-best-conversation and life-event detection — on one platform.
+34%
Higher AUM volume
+15%
More qualified leads
+11%
Partner revenue uplift
Minutes
Meeting prep (was hours)
The Challenge
Private banking data is rich — acting on it at scale is not
Portfolio systems, CRM, custody platforms and advisory notes all hold fragments of client truth. Relationship managers juggle dozens of clients but can only deeply prepare for a handful. The result: missed signals, reactive conversations and AUM attrition that could have been prevented.
Relationship Manager Capacity
A typical RM manages 60–120 clients but can only deeply track 10–15. Without automated signal detection, the majority of the book receives generic service — leading to missed cross-sell windows and silent attrition.
Reactive Advisory Model
Most private banks act on events after they happen — inheritance, divorce, business exit — rather than detecting early signals. By the time the RM learns of a life event, the client has already spoken to competitors or moved assets elsewhere.
AUM Concentration Risk
Limited visibility into portfolio signals means AUM attrition goes undetected until quarterly reviews. Without real-time monitoring of outflow patterns, product engagement and dormancy, wealth managers react too late to stem asset migration.
Core Use Cases
What private banks use ACCELERAID for
Client Lifecycle & Value Management (CLM/CVM) for wealth management — from onboarding through retention, AUM growth, regulatory suitability and client reporting.
RM Activity Triggers & Next-Best Conversation
Give each relationship manager a daily, AI-ranked priority list of clients to contact — with the reason, the context and the recommended conversation topic. Replace manual CRM trawling with intelligent, data-driven outreach signals.
Client health score across engagement, portfolio and transaction signals
Dormancy alerts — clients with no meaningful contact in 60+ days
Auto-generated meeting briefs from CRM + portfolio + transaction data
Investment Product Propensity Modelling
Predict which clients are most likely to respond to structured products, real estate funds, ESG mandates or alternative investments — based on portfolio composition, transaction behaviour and peer group benchmarks.
Multi-product propensity scoring (structured, RE, ESG, alternatives)
Peer-group benchmarking for product gap identification
Offer eligibility and suitability guardrails built in
Life Event Detection
Detect high-value life events — inheritance, business exit, divorce, retirement, property sale — through anomalies in transaction patterns, large inflows, portfolio restructuring and external data signals. Trigger personalised outreach within 24 hours.
Pattern-based detection on cash flow, transfers and portfolio changes
Configurable event taxonomy per institution
Channel-aware delivery: RM queue, email, secure messaging
Client Re-engagement & AUM Retention
Identify dormant clients and those showing early withdrawal patterns before AUM attrition accelerates. Trigger re-engagement journeys — portfolio reviews, exclusive event invitations, new product introductions — tailored to each client’s profile and risk tier.
Churn propensity model on portfolio + transaction + engagement data
Automated outreach triggers at defined risk thresholds
AUM retention tracking and attribution per intervention
Advisory preparation for relationship managers
Prepare conversations with client context, portfolio signals and next-best-conversation suggestions. All interactions are logged in an audit-proof way; investment advice and suitability assessment remain with your advisors.
Suitability data capture and scoring at point of advice
Ex-ante and ex-post cost disclosure automation
Audit-proof logging of advisory interactions
Client Reporting Automation & MI
Replace manual Excel-based client reporting with auto-generated, branded portfolio reports. Performance attribution, asset allocation, risk metrics and custom KPIs — produced from governed data and delivered on schedule or on demand.
Automated quarterly and ad-hoc client portfolio reports
Management information packs for CIO and front-office leadership
Cohort analysis: AUM flows, product penetration, RM productivity
Deep Feature
The RM Intelligence Layer
ACCELERAID turns fragmented client data into conversation triggers — so relationship managers spend time talking to clients, not preparing for it.
Client Health Scoring
A composite AI score for every client — combining engagement frequency, portfolio activity, transaction velocity, satisfaction signals and advisory touchpoints. RMs see at a glance who needs attention and why.
Signal Detection Engine
Monitors transaction patterns, custody movements, large inflows and external triggers in real time. When a signal fires — inheritance, business sale, retirement, regular outflows — the RM receives a contextualised alert with recommended next steps.
Auto Meeting Brief
Before each client meeting, ACCELERAID generates a one-page brief: portfolio summary, recent activity, open topics, risk profile changes and AI-suggested talking points. Meeting prep in minutes — not hours.
Daily Priority Queue
Each morning, each RM gets an AI-ranked priority list: which clients to contact today, why, and what to discuss. Combines churn risk, cross-sell propensity, dormancy signals and open action items into a single actionable queue.
How It Works
The RM Intelligence Layer sits on top of your unified client data — portfolio management system, CRM, custody, transaction history and advisory notes. It continuously scores, detects and prioritises — then delivers insights directly into the RM’s workflow.
Ingests data from core banking, PMS, CRM and custody in real time
Builds a 360° client profile with family unit and account linkage
Runs propensity, churn and life-event models on every profile daily
Generates prioritised action lists per RM each morning
Delivers conversation triggers via CRM integration, email or dashboard
Tracks outcomes — which conversations led to new mandates, AUM growth or retention saves
Investment Product Propensity
Match clients to the right products — before they ask
Wealth management clients expect proactive advice. ACCELERAID’s propensity models identify product-client fit across asset classes — so RMs lead conversations with relevant, data-backed recommendations.
Structured Products
Identify clients whose portfolio composition, risk profile and investment horizon make them ideal candidates for structured products. Propensity scoring factors in maturity preferences, yield expectations and existing exposure to determine optimal timing and product type.
Risk profile and maturity preference matching
Existing exposure analysis to avoid concentration
Market-condition-aware timing suggestions
Real Estate & Alternative Investments
Detect clients with liquidity surpluses, low alternative exposure or life-stage indicators (e.g., business exit proceeds) that signal readiness for real estate funds, private equity or infrastructure investments. Combine portfolio data with external market signals.
Liquidity surplus detection from transaction analysis
Alternative allocation gap vs. peer benchmark
Lock-up tolerance assessment from historical behaviour
ESG & Sustainable Mandates
Identify ESG-inclined clients through behavioural signals — existing ESG holdings, charitable transaction patterns, stated preferences and demographic indicators. Position sustainable investment mandates and impact portfolios at the right moment in the advisory cycle.
ESG affinity scoring from portfolio and transaction data
Use of recorded sustainability preferences
Impact reporting readiness for client communication
How Investment Propensity Scoring Works
From raw client data to prioritised product recommendations — delivered into RM workflows daily.
1
Portfolio & Transaction Data
Ingested from PMS, custody and core banking
2
Unified Client Profile
360° view with family unit linkage and risk classification
3
Propensity & preferences
Multi-product scoring with consent and compliance guardrails
4
RM Priority Queue
Ranked client-product recommendations delivered daily
5
Outcome & Attribution
Mandate conversion and AUM impact tracked per recommendation
Client Data Foundation
Unified Client Intelligence — from Fragmented Sources
ACCELERAID connects portfolio management systems, CRM, custody data, transaction history and advisory notes into a single, governed client profile. The foundation for every downstream use case.
360° Client Profile with Family Linkage
Resolve identity across accounts, entities and family units. Connect portfolio holdings, transaction history, CRM notes and advisory interactions in one central profile. Enable family-level AUM views, inter-generational planning and household-level advice.
Real-time data ingestion from PMS, custody, core banking and CRM
Family unit and entity grouping with hierarchical AUM rollup
GDPR-compliant consent layer with banking secrecy controls
Historical data retention for long-term trend analysis
Wealth-Specific Data Enrichment
Go beyond internal data with external enrichment — property ownership signals, company director records, media mentions and market event triggers. Build richer client context that helps RMs understand the full picture, not just the portfolio held at your institution.
External data source integration via governed API connectors
Market event and corporate action impact analysis per client
Peer-group benchmarking for product gap identification
Data quality scoring and completeness dashboards
Compliance & Regulatory
Built for the Regulatory Environment of Wealth Management
Private banking operates under some of the strictest regulatory frameworks in financial services. Banking secrecy comes on top of GDPR – ACCELERAID covers both in consent, access and logging.
GDPR & Banking Secrecy
GDPR consent management with additional banking-secrecy controls, defined retention rules for client data and PII filtering before any data reaches AI models.
Read on
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Book a demo tailored to your wealth management workflow — we’ll show you exactly how ACCELERAID maps to your data sources, RM processes and regulatory requirements.