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Brazilian Investment Advisory Firm Demonstrates AI-Powered Churn Prediction Across a High-Value Client Portfolio

  • 5 days ago
  • 2 min read

Updated: 2 days ago

How Decision-Grade AI unified fragmented CRM data and transformed retention strategy into proactive, personalized execution.


About the Company

  • A leading investment advisory firm in Brazil, managing a large portfolio of high-value clients.


  • Operating in a highly competitive financial environment where retention directly impacts AUM growth and revenue stability.

The Challenge

As the client base expanded, retention strategy became increasingly complex, while critical data remained fragmented across CRM systems and internal spreadsheets.

  • Client data distributed across disconnected CRMs and manual controls

  • Lack of unified visibility into client engagement and portfolio behavior

  • No structured churn probability indicators

  • Retention actions reactive and dependent on advisor perception

Leadership required a predictive intelligence layer capable of identifying churn risk in advance and structuring personalized retention strategies.



Grand Thera Deployment

TheraOS: Grand Thera deployed TheraOS as a unified client intelligence layer, consolidating CRM data, portfolio information, and internal controls into a structured analytical environment.

  • Integrated multiple CRM systems and internal spreadsheets

  • Standardized client engagement and portfolio performance indicators

  • Built executive dashboards with clear retention risk visibility

  • Structured behavioral and financial signals into actionable metrics

TheraOS transformed fragmented client data into decision-grade retention visibility.



Specialized AITs Agents: were deployed to operationalize predictive and prescribe retention actions.


  • Calculated churn probability across defined time horizons

  • Identified behavioral and portfolio risk patterns

  • Generated personalized retention pitch scripts for advisors

  • Structured action timelines and follow-up schedules

  • Alerted advisors proactively when churn risk thresholds were reached



Results

  • Proactive identification of clients at risk of churn

  • Personalized retention strategies generated automatically

  • Increased advisor response speed to churn signals

  • Structured retention workflows replacing ad hoc actions

  • Strengthened client stability and revenue predictability


Discover how Grand Thera AI transforms complex data into clarity, control, and confidence for critical decision-making. Schedule a demonstration .



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