The new AI-first era of business is here. Financial services firms have a greater need than ever to automate processes, extract insights, enhance collaboration, and protect valuable content. Today, that means using governed AI to search, analyze, extract, automate, and protect enterprise content across banking, insurance, wealth management, and M&A workflows.
With the power of Intelligent Content Management, teams can leverage their data (90% of which is unstructured!) to drive innovation and efficiency. For financial services firms, the opportunity is to turn unstructured enterprise content into trusted, actionable intelligence without sacrificing security or compliance.
Box, the leading Intelligent Content Management provider, delivers a secure, centralized platform with AI-powered features, enabling businesses to optimize workflow automation and ensure compliance. With innovations like Box AI, metadata extraction, and a new set of workflow automation capabilities, Box empowers financial services organizations to realize the full value of their content while addressing security concerns and enhancing operational effectiveness. This gives regulated teams a more secure foundation for applying AI to enterprise content — keeping documents, metadata, workflows, and permissions connected.
At BoxWorks 2025, Box announced new agentic AI, automation, and security capabilities designed to help financial services firms unlock more value from unstructured content while maintaining enterprise-grade governance.
BoxWorks 2025 highlights include:
- Box Extract uses AI agents to extract accurate, structured data from documents, presentations, images, scans, spreadsheets, and other content types.
- Box Automate orchestrates agentic workflows across AI agents, employees, and systems to reduce manual work in processes like onboarding, approvals, reviews, and invoice processing.
- Enhanced Box Apps brings AI-powered dashboards, metadata views, agent- assisted analysis, and natural-language exploration into no-code business applications.
- Box AI Agents and Box AI Studio help teams create purpose-built agents for tasks such as contract review, research, policy analysis, and client support.
- Box Shield Pro adds AI-powered content protection capabilities, including classification agents and agentic security insights for sensitive enterprise content.
- Enterprise Advanced brings together Box's most advanced content, AI, automation, governance, and security capabilities for organizations scaling AI across business workflows.
These updates expand the role of Intelligent Content Management for financial services: content is no longer just stored and shared, but understood, structured, automated, governed, and activated by AI across critical business workflows.
How do financial services firms use AI with enterprise content?
Financial services firms use AI with enterprise content to analyze documents, extract key metadata, summarize complex records, search across governed repositories, automate reviews, and trigger downstream workflows. In practice, this can include using AI agents to review loan applications, identify risky contract clauses, summarize client onboarding files, extract policy or claims data, generate personalized investment documents, and route approvals based on business rules.
The most effective approach keeps AI grounded in trusted enterprise content, applies role-based permissions, preserves auditability, and connects extracted data back to the original documents — so teams can work faster while supporting compliance.
This is especially important in regulated environments where sensitive content, customer data, transaction records, and long-term retention requirements must remain protected throughout the AI workflow.
We also announced Enterprise Advanced, which combines the full power of our Intelligent Content Management platform into a single offering. Let’s explore how our new capabilities enable financial services organizations to drive value with unstructured content.
Banking
In banking, our solutions streamline various processes by automating the extraction of metadata from submitted documents. This automated process replaces manual data entry and improves efficiency and accuracy in tasks such as Know Your Customer (KYC) verification.
By collecting key details like applicant names, submission dates, and loan types, our metadata extraction solution enhances searchability and reduces time spent searching for information. It also enables workflow automation by routing applications to the appropriate department based on criteria such as loan amount or applicant category. This speeds up processing times and promotes better collaboration within teams.
Integrating metadata into processing systems ensures compliance with regulatory requirements by accurately categorizing and securely managing sensitive information. Real-time access to crucial data facilitates efficient document generation for approvals and communications, resulting in faster response times and enhanced customer service. Leveraging form submission data, Box Relay workflow variables, and manual data entry can streamline processes such as generating preliminary loan agreements, while an AI-powered assistant can analyze loan applications for potential issues.
With additional features like Box Apps for tracking loan applications and organizing documents, banks can streamline their document management processes. A key advantage of Box Apps is its ability to leverage metadata collected from extract agents, enabling users to create custom views and dashboards. This allows employees to efficiently sort, filter, and access documents based on relevant metadata. Additionally, future capabilities like Box Archive will further enhance document management, ensuring long-term, compliant content preservation.
Insurance
For insurance firms, Box Forms enhances customer interaction and satisfaction around claim submissions by simplifying how policyholders detail incidents and attach supporting documents. Metadata extraction from customer-submitted forms and images enables insurers to seamlessly organize, retrieve, and process claims more efficiently—powering automation of critical workflows and streamlining the customer experience.
Based on the extracted data, Box Doc Gen facilitates the creation of acknowledgment letters confirming receipt of claims. Claims adjusters use a custom, metadata-powered dashboard in Box Apps to easily filter and sort submissions. After settlement, claims may be stored in Box Archive for long-term preservation. Additionally, teams can automate the creation of policy documents and renewal notices within their client databases or preferred system of record by leveraging the Box Doc Gen API, ensuring timely and accurate documentation.
Wealth management
In wealth management, Box Forms enables new clients to complete onboarding questionnaires, providing vital information about financial goals and risk tolerance. Metadata extraction processes customer financial statements, which can be stored in a firm’s CRM system.
Box Doc Gen then generates personalized investment proposals and account creation documents based on information submitted via a Box Form. Using Box AI Studio, financial analysts can build a custom AI agent that helps them analyze client profiles and empowers them to make informed decisions on investment strategies. All client-related documents are stored in Box Archive, which ensures client data is compliant, preserved — and protected with controlled access. Content can easily be restored if needed, with direct collaborations and original ownership restored as well.
The Box Doc Gen API seamlessly integrates data from portfolio performance and market analysts to create highly personalized investment reports. By leveraging this comprehensive information, gathered from various sources such as custom applications or Box Forms submissions, we enhance client engagement and empower informed decision-making.
Mergers and acquisitions
During M&A transactions, potential buyers submit information requests through Box Forms, detailing specific data needed from target companies. Metadata extraction pulls key details from company documents, identifying essential information such as financial figures and legal terms. While this organized data supports analysis and decision-making, the data remains within Box’s ecosystem rather than integrating directly into external project management systems.
Box Doc Gen then creates comprehensive due diligence checklists and document request lists using data collected from Forms submissions. An AI model evaluates responses against historical transactions to identify potential red flags. M&A teams create a tailored app to manage the due diligence process, ensuring alignment throughout. After completion, all related documents may be stored in Box Archive, ensuring the final version of content is preserved and unable to be altered, helping meet compliance requirements.
Our integrated solutions simplify and automate complex processes in banking, insurance, wealth management, and capital markets — so teams enhance efficiency and improve client experiences.
And that’s just the beginning of what Intelligent Content Management can do for financial services. Explore the latest BoxWorks updates to learn how content, AI agents, automation, and governance can work together to improve client experiences and operational efficiency.
Intelligent Content Management for financial services FAQs
What is Intelligent Content Management for financial services?
Intelligent Content Management for financial services is a secure approach to managing, protecting, automating, and applying AI to business-critical content — loan files, claims forms, client onboarding records, investment reports, and M&A documents. It helps firms connect content, metadata, workflows, and governance in one platform.
How can AI improve document workflows in banking?
AI can improve banking document workflows by extracting data from submitted files, identifying missing information, routing applications to the right teams, summarizing lengthy documents, and supporting faster review of KYC, lending, compliance, and customer service processes.
How do insurance companies use AI for enterprise content?
Insurance companies can use AI to organize claim submissions, extract details from forms and supporting images, generate acknowledgment letters, summarize claim files, and surface relevant policy information for adjusters — while keeping sensitive content governed.
Why is governance important when financial services firms use AI?
Governance is critical because financial services content often includes regulated, confidential, or personally identifiable information. AI should only access approved content, respect user permissions, maintain audit trails, and support retention and compliance requirements.
What role does metadata play in AI-powered financial services workflows?
Metadata gives AI and automation systems structured context about unstructured content. By capturing details such as client name, document type, account category, submission date, loan amount, policy number, or deal stage, firms can improve search, dashboards, routing, reporting, and compliance workflows.
How can financial services firms get started with AI and enterprise content?
A practical starting point is to identify high-volume content workflows, classify the sensitive data involved, define access and governance rules, pilot AI extraction or summarization on a narrow use case, and then expand into automated workflows once accuracy, security, and compliance requirements are validated.
And that’s just the beginning of what Intelligent Content Management can do for your business. Dive into the BoxWorks keynote to learn more.
