The ongoing evolution of artificial intelligence is a central topic in investment management, and for good reason. Firms across the industry are exploring how AI can automate time-consuming tasks and surface better insights from their data. The challenge is that many of these tools operate in isolation, sitting outside the systems where investment teams actually work, rather than within them.

Addepar takes a different approach. Rather than bolting intelligence onto existing workflows, we embed AI directly into the platform, applying it where portfolio data is analyzed and reported. This allows firms to reduce manual processing while the data powering portfolio analysis remains structured, validated and connected to the broader investment picture.

Reducing the operational burden of alternatives

Managing alternative investments creates significant operational complexity for investment firms. Capital calls, distributions, valuations and fund documents arrive from different managers and administrators, each following its own format. Teams are left to manually extract values, verify data and track activity across spreadsheets — a process that’s time-consuming, error-prone and difficult to scale.

Addepar Alts Data Management addresses this directly, applying AI and machine learning within the workflow itself. Rather than requiring teams to review every document manually, Alts Data Management extracts key data points from fund documents automatically. Extracted data is standardized and flows directly into portfolios within Addepar, with no need for separate OCR tools or reconciliation across disconnected systems.

With Alts Data Management, firms can:

  • Automate the extraction of key investment data 

  • Reduce manual data entry and document reconciliation

  • Standardize data across documents

  • Enable data to flow directly into portfolios within Addepar

As a result, operations teams can spend less time organizing documents and more time analyzing portfolio data to provide clients with actionable insights.

Applying AI to custody and bank statement processing

Custody and bank statements present a similar operational challenge. These documents typically arrive as PDFs containing large volumes of transaction data, valuations and account information — and because they are unstructured, operations teams frequently spend hours manually extracting and re-entering data before it can be imported into their portfolio system.

Addepar addresses this through Intelligent Statements, which embeds an AI-driven extraction engine directly into the Addepar import workflow. Unlike generic OCR tools that simply digitize text, Intelligent Statements interprets the financial context within custody and bank statements, ingesting unstructured files, categorizing financial data and producing an Excel output formatted specifically for Addepar's transactions import template.

With Intelligent Statements, firms can:

  • Convert unstructured statements into structured portfolio data

  • Reduce hours of manual transaction entry and accelerate client onboarding

  • Scale operations without increasing headcount

By executing this workflow within the Addepar platform, firms also reduce reliance on external providers while keeping sensitive financial data within the platform environment.

From structured data to actionable insight

Alts Data Management and Intelligent Statements solve the data ingestion problem — but importing and managing data is only part of the challenge. Once it's organized in the platform, investment teams still need to find answers quickly, troubleshoot issues and surface the right information for client conversations. 

Addison, Addepar's AI partner, solves this within the platform itself. Rather than requiring users to know exactly where to look, Addison draws on Addepar's unified data model to answer questions, surface relevant guidance and direct users to the right workflows — whether that’s summarizing portfolio performance, investigating drivers of returns or allocation changes, reviewing exposures or preparing more effectively for client conversations. Because Addison works with the same trusted data used for reporting and analysis, it provides a more consistent path from raw investment data to portfolio insight.

With Addison, firms can:

  • Access on-demand answers to questions about workflows, data and portfolio context

  • Onboard new users faster with embedded, in-platform guidance

  • Surface relevant insights without searching across multiple systems

  • Identify performance drivers and detect data issues before they escalate

For new users, that means faster onboarding and less reliance on external support. For experienced teams, it means spending less time searching and more time acting on portfolio data.

Simplifying the workflow, end-to-end

Most investment firms are not short of AI tools. The problem is that those tools rarely connect to the broader investment data environment. At Addepar, structured data becomes part of a unified portfolio dataset that supports portfolio reporting, performance analysis, and client communication across complex portfolios for more than $9 trillion in assets on the platform. 

Alts Data Management and Intelligent Statements turn unstructured documents into that structured, reliable foundation. Addison takes it further, making that data conversational and helping teams find answers, surface insights and act with confidence. 

By embedding intelligence at every stage, Addepar helps firms move faster and operate with greater precision across the entire investment workflow.

Learn more about how Addepar can help your firm simplify operational workflows.