WealthArc Launches AI Agent to Turn Alternative Data and Documents Into AI-Ready Investment Data

WealthArc today announced the launch of its new AI Agent, designed to automatically interpret financial documents such as account statements, portfolio reports, and private market investment documents and convert them into structured investment data available within the company’s global data infrastructure service.

The launch reflects a broader shift across the wealth management industry as firms seek to adopt artificial intelligence across investment operations and client servicing.

Before AI can automate workflows, generate insights or support investment decisions, firms must first solve a harder problem: a reliable data layer to clean, reconciled portfolio data across custodians, currencies and reporting systems. 

Wealth managers frequently receive portfolio information and alternative investment data through PDFs, spreadsheets or proprietary reporting formats. Before the information can be used for reporting or analysis, teams often spend hours manually extracting and reconciling the data.

Artur Kluz, CEO of WealthArc, said the real opportunity for AI in wealth management lies in solving these underlying data challenges: “AI won’t replace advisers, rather equip them with deep knowledge and flexible workflows. The real barrier to AI adoption in wealth management isn’t the models themselves but turning fragmented financial data into reliable, structured data.”

Turning financial data into structured investment data

WealthArc’s AI Agent enables firms to upload financial documents in a wide variety of formats and automatically transform the information they contain into structured portfolio data.

Examples of documents the AI Agent can process already include:

• Custodian account statements

• Private markets investment reports

• Portfolio summaries and capital account statements

• Investment performance reports

• Other structured or semi-structured financial documents

Once processed, the extracted information becomes part of the data layer, where portfolio data from multiple custodians, asset classes and currencies is standardized and made available for reporting, analytics and AI-driven workflows to clients.

By automating document interpretation and data extraction, the AI Agent helps reduce the operational effort required to prepare portfolio data for analysis.

Moving beyond traditional automation

Unlike traditional automation tools that rely on fixed templates or predefined document structures, WealthArc’s AI Agent is designed to interpret financial information across documents that vary widely in format, terminology and reporting structure.

The AI-enabled technology analyzes the financial context of the data contained within documents and can highlight potential inconsistencies that require review.

To ensure reliability in financial environments, the AI Agent operates within a human-in-the-loop framework, where suggested interpretations or corrections are reviewed and confirmed by users before being applied to the portfolio dataset.

Radomir Mastalerz, CTO of WealthArc  said this approach is critical when working with financial data across multiple institutions: “Traditional automation works well when documents follow predictable formats, but financial reporting rarely does. Statements from different custodians often use different terminology, structures and assumptions. WealthArc’s AI Agent helps interpret that context and flag potential inconsistencies, while keeping humans in control of the final outcome.”

Building the data infrastructure for AI-driven wealth management

The AI Agent forms part of WealthArc’s broader strategy, continuing to build the data infrastructure and it’s 1000+ new generation global data feeds required for AI-driven wealth management.

At the center of this infrastructure is WealthArc Data Box, a universal multi-custodian and multi-currency data engine that aggregates, reconciles and standardizes portfolio data across wealth management stakeholders including banks, investment managers and family offices.

WealthArc is now working to significantly expand this infrastructure.

“Our goal is to build more than 1,000 next-generation global data feeds in the coming years,” Kluz said. “By expanding this infrastructure, we are building the foundational data layer for the wealth and asset management ecosystem—enabling institutions to scale operations, automate workflows and adopt AI with confidence.”

WealthArc’s services also include automated data processing and monitoring capabilities designed to transform fragmented custodian data into trusted, AI-ready portfolio datasets.

New AI agents roadmap 

The AI Agent represents the next stage in WealthArc’s roadmap to embed AI capabilities directly within investment data workflows powered by WealthArc Data Box.

Future developments will focus on expanding AI agents across:

• Data feeds development 

• Data cleaning, validation and quality monitoring 

• Portfolio reconciliation

• Multi-custodian data integration

• Advanced data analytics 

Call for Collaboration

WealthArc invites wealth and asset management institutions—including wealth managers, family offices, private banks, as well as WealthTech and FinTech firms—to collaborate on AI-driven document processing and data integration use cases.

Firms interested in exploring these capabilities are encouraged to engage with the WealthArc team.

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