Case studies

FutureVault · Wealth Management

Transforming financial documents with AI intelligence

FutureVault, a leading financial document management platform used by advisors and institutions to centralize critical client records, partnered with Agilno to add modern AI capabilities. We delivered a production-ready LLM-powered extraction workflow and rebuilt ingestion systems for an 8x performance lift, turning millions of documents into structured, usable data.

12+Months partnership
5Agilno team members
Client
FutureVault
Industry
FinTech · WealthTech
Engagement
12+ months · 5 engineers
Goal
Automate data extraction and dramatically improve document-processing performance for advisors and enterprise institutions.

What we built

AI-powered document intelligence and high-performance ingestion

A production-ready, LLM-powered document intelligence layer: a private LLM extraction workflow that automatically identifies and pulls key fields from financial documents, paired with rebuilt ingestion systems that process and classify documents at enterprise scale — turning millions of records into structured, usable data with an 8x performance lift.

A screen mockup of the main app dashboard

Challenge

Slow ingestion and stalled AI efforts limited document intelligence at scale

FutureVault needed a scalable way to extract meaningful data from thousands of advisor and client documents. Existing ingestion flows were slow, manual review was costly, and earlier attempts to introduce AI internally stalled due to complexity and limited engineering capacity. To support enterprise clients at scale, FutureVault required a modern, automated approach to document intelligence.

Insurance policy screens

Our Approach

Agilno delivered FutureVault's first production-ready AI extraction workflow

Agilno worked as an embedded engineering partner to design and deliver FutureVault's first production-ready AI extraction workflow. The team rebuilt ingestion architecture for high-throughput processing, introduced a private LLM workflow for automated data extraction, and ensured the entire system was secure, accurate, and enterprise-ready. The result was a fast, reliable document intelligence layer that unlocks new value for advisors and institutions.

App screens overlayed to show document add functionality

Core features

Building a custom document intelligence layer that unlocked new value for advisors and their clients.

A complete document intelligence layer for advisors, clients, and enterprises

AI-Driven Data Extraction

Automatically identifies and pulls key information from financial documents using private LLM workflows.

High-Volume Document Ingestion

Optimized ingestion pipelines process and classify documents significantly faster across multiple enterprise sources.

Centralized Document Management

Secure storage and organization for client, advisor, and enterprise documents in one unified vault.

Automated Filing & Tagging

Documents are sorted into structured folders and entity types based on business rules and metadata.

Multi-Party Collaboration

Clients, advisors, and back-office teams access shared documents with controlled permissions and audit trails.

Enterprise Compliance & Audit Readiness

End-to-end visibility and retention policies help firms meet regulatory, audit, and governance standards.

Smart Search & Retrieval

Instant access to files through metadata, tagging, and content-based search.

Secure Upload & Distribution

Documents can be uploaded, requested, shared, or distributed securely between stakeholders.

Workflow Automation for Advisors

Document receipt, reviews, approvals, and compliance tasks are streamlined with automated triggers.

Role-Based Access Controls

Granular permissions ensure each user only sees what they're authorized to access.

Event Logging & Activity Tracking

Every action is tracked for compliance, audit, and risk management.

Data Intelligence for Enterprises

Aggregated, anonymized insights from document activity support reporting and decision-making.

Advisor & Client Portals

Branded interfaces for wealth firms, advisors, and end clients to manage documents and tasks.

Showing document upload and ai chat
Team
1 AI/ML Engineer1 Backend Developer1 Full Stack Developer1 DevOps Engineer1 Project Manager
Services
AI DevelopmentBackend EngineeringInfrastructure OptimizationTechnology ConsultingProject Management
Tech
AI & Extraction – LLM-based document extraction workflow, OCR-driven parsingBackend – Optimized ingestion pipelines, high-throughput processingInfrastructure – Cloud-hosted services supporting large-scale document handlingData Processing – Automated extraction, classification, and structured data output
8x

Faster document ingestion and processing after platform enhancements.

AI

AI-powered extraction automatically identifies and pulls key fields from financial documents.

Enterprise

Enterprise-scale readiness for advisors, clients, and institutions across large portfolios.

We brought them in to bring in an expert lens on how we could integrate AI in the right direction, and they completely reimagined our product enablement.

Simon TiplerChief Product Officer
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Bring us the idea, the roadmap gap, or the operational bottleneck.

Start with discovery. We’ll help you understand what to build, what should wait, and where technology can create the clearest value. If we build it with you, we don't stop at launch. We stay on to improve it, adapt it, and help it grow with the business.

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Sara Rehman
Growth & Strategy