Driving Integrated Data Intelligence and Advisor Efficiency via Aether for a Major U.S. Financial Services Provider
A major U.S. financial services provider had brokerage, retirement and wealth data spread across business units, so advisors spent their time chasing reports. Aether unified the data and gave teams conversational analytics, automated reporting and AI recommendations.
- Client
- Major U.S. privately held financial services provider
- Industry
- Financial services
- Solution
- ITHENA Aether AI Platform
- Scope
- Unified data lake, NLP analytics, GenAI reporting, predictive insights
- Headline result
- 40% less manual reporting
Three numbers the advisors moved.
Results after Aether unified data across business units.
Reduction in manual reporting
GenAI generated reports and ad hoc analysis that advisors used to build by hand.
Improvement in report delivery speed
One governed data layer let reports go out without waiting on each business unit.
Faster anomaly identification
Predictive models flagged trends and anomalies across retirement and wealth data.
Meet the organization and understand the context behind the transformation.
One of the world's largest privately held financial services organizations, offering brokerage, retirement, wealth management, and institutional investment solutions. By implementing ITHENA’s Aether platform, the organization unified its data environment, enabling NLP-driven conversational analytics, automated reporting, and AI-powered recommendations. This transformation led to faster reporting, significantly improved advisor productivity, and a cohesive intelligence layer that turned raw information into actionable business insights.
Before Aether, getting a cross-business view meant waiting on reports that were already outdated by the time they landed. Now our teams can query across the entire data environment in real time. It sounds simple, but the impact on how we plan and respond has been substantial.
— Senior Vice President, Enterprise Data Strategy
Reports out of date on arrival.
Data across brokerage, investing and wealth sat apart, so every report meant manual extraction.
- Limited ability to unify data across brokerage, investing, and wealth management into one accessible intelligence layer
- Inefficient data access forces advisors to spend more time navigating systems than acting on insights
- Delayed reporting caused by fragmented data across disconnected categories across business units
- Absence of NLP-driven data access, requiring manual extraction and static dashboards for financial and customer decision-making
- Difficulty surfacing predictive and contextual insights across portfolios without excessive manual effort
How ITHENA closed the gaps.
ITHENA's Aether platform empowered the client with:
Unified Data Lake Integration
Consolidated diverse data channels into a governed framework, giving stakeholders synchronized, real-time visibility
NLP-Driven Conversational Analytics
Enabled analysts and advisors to query enterprise data conversationally, replacing manual dashboard exploration
GenAI-Powered Insights
Automated report generation and ad hoc analysis, cutting data-to-insight time to seconds and freeing advisors to focus on clients
Predictive Intelligence
Detected trends and anomalies across retirement and wealth data, enabling proactive risk management
Agentic AI Recommendations
Delivered real-time recommendations directly into investment and operational workflows, accelerating decision-making
Reports that answer back.
An illustrative Aether view: report turnaround falls as advisors query governed data in plain language, with anomalies surfaced before they become issues.