Detect changing risk
Review tier changes across advisors, teams and regions, with the AUM and household exposure attached.
Wealth Management / Advisor Retention
Connect asset flows, compensation, engagement and service signals into an explainable view of advisor flight risk and AUM exposure.
Decision pathway
A business question this workflow can support“Which advisors have increasing AUM exposure, and which signals explain the change?”
Workflow overview · not a customer outcome
The business challenge
Custodial outflows, payout friction, platform usage and service complaints live in separate systems. Black-box scores do not tell a market leader why an advisor was flagged or what to do next.
What your team gains
Use cases
Review tier changes across advisors, teams and regions, with the AUM and household exposure attached.
Validate outflow, compensation, growth and engagement signals against governed definitions, rather than presenting an unexplained score.
Route leader conversations, service fixes, compensation reviews and succession planning to the right owners.
Record saves, losses and manager overrides so future reviews retain the reasons behind past decisions.
How it works
Surface changing signals under the firm’s approved policy.
Attach drivers, evidence and known gaps to each flag.
A manager reviews the risk tier and chooses a retention play.
Record the outcome and any manager override.
Signals are configured under your HR and privacy policy. A manager reviews every tier change; weak evidence is not inflated into a prediction.
Data your team brings
Go deeper / Original solution brief
Connect asset flows, compensation, engagement, and service signals into an evidence-backed view of advisor flight risk.
Download PDFFrequently asked questions
CRM & service escalations, Custodial asset flows, Compensation & HR, Planning tools, Platform engagement. We’ll discuss available fields, source coverage and access requirements with your team.
Signals are configured under your HR and privacy policy. A manager reviews every tier change; weak evidence is not inflated into a prediction.
These materials describe solution workflows. Any example datasets, findings or industry scenarios in the PDFs should not be interpreted as measured Datapane customer results.
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Your next step
Discuss this workflow, the data it needs and the controls your team requires.
Talk to Our Team