Publication Date
Transform your Document Management with AI
In summary
- Automating document processing has allowed the company to reduce manual tasks and speed up the processing of its requests.
- The solution has generated immediate and measurable gains: several hours saved each day, capacity equivalent to more than one full-time resource freed up, and record volumes maintained.
- The success of this project depends on the choice of a well-defined business issue that creates rapid value, while laying the groundwork for future agentic AI initiatives.
Client Type: Corporate
Industry: Finance
Solutions: Data & Artificial Intelligence
Every day, Iceberg Finance and iFinance Canada’s (Iceberg Finance Group) credit teams analyze and validate a large volume of documents related to auto financing and personal loan applications. As in many organizations, a significant portion of this work relied on repetitive manual tasks: filing documents, verifying information, and preparing files for analysis.
The Challenge: Starting With the Right Use Case
The question wasn’t just how to implement AI, but rather: where could AI generate the most value quickly?
Before developing a solution, ITI and Iceberg Finance Group evaluated several opportunities for the use of artificial intelligence.
The analysis quickly highlighted a natural candidate: document processing, because it directly touched on three business issues.
Our Solution: Automate Document Processing With AI
In collaboration with Iceberg Finance Group, ITI designed and put into production an intelligent solution that automates document management and accelerates the analysis of funding applications. This first iteration supports every step of the process:
- Receipt of documents
- Automatic separation of received documents
- Classification of each document according to its type
- Extraction of key information
- Data validation and inconsistency detection
The goal was simple: automate low-value work to free up teams for activities where their expertise really makes a difference.
The Result: Concrete Benefits from the First Month
The benefits were quickly observed in operations, while also paving the way for new opportunities.
More than 8 hours saved every day
Automation saves more than 500 minutes per day, which is the equivalent of more than a full-time working day.
More time for file analysis
Freed from some of the manual classification of documents, teams can focus more on analyzing records and higher-value activities.
Basics to move towards agentic AI
This first achievement has laid the foundations and strengthened internal skills to extend automation to other processes and evolve towards agentic solutions.
The Lesson: The Success of an AI Project Is Not Based on the Choice of a Tool
Rather, success is based on the ability to identify the right problem, quickly demonstrate its value and create the buy-in needed to go further. At Iceberg Finance Group, this approach has transformed a manual process into a lever for operational efficiency. And that’s just the beginning.
“The application supports our credit team, allowing us to maintain a very high volume of approvals. We were able to meet our commitments for fast credit approvals and achieve record volumes of loans funded, while strengthening our controls to detect fraud. Our collaboration with ITI has opened the doors to agentic AI and allowed us to train our internal resources to push our solutions even further.”
“Our collaboration with Iceberg Finance Group is a clear example of how quickly the value of leveraging AI can exceed the investment. AI projects don’t need to be multimillion-dollar initiatives to deliver meaningful results. With a well-defined scope and a focus on the right business challenge, they can generate measurable value in months, not years. The question then shifts from the cost of adopting AI to the opportunity cost of waiting.’’
Are You Looking for Your First Use Case in Artificial Intelligence?
Most organizations are not short of ideas. They are mostly looking to know where to start. At ITI, we support organizations in identifying, prioritizing and implementing use cases that can generate real value for teams and operations. At the same time, we help them establish the security framework and foundation needed to scale their AI initiatives and move confidently towards agentic solutions.
Let’s talk about what could create the most impact on your organization.
About Iceberg Finance Group
Iceberg Finance Group is a Canadian fintech lender that provides alternative and flexible financing solutions to consumers and business partners across Canada. The company specializes in automotive financing, as well as financing for insurance products, extended mechanical warranties, and personal loans. Iceberg Finance Group works with car dealerships and business partners nationwide to help Canadians buy the vehicles and protection they need, including customers who may not qualify for traditional bank financing. Its technology-driven loan platform offers fast credit decisions, flexible terms, and a simple application process, backed by dedicated, bilingual customer service.
With offices in Quebec City, Toronto, and Vancouver, Iceberg Finance Group serves customers from coast to coast. In 2022, Iceberg Finance acquired iFinance Canada, a Canadian lender founded in 1996 that specializes in patient and point-of-sale financing. The combined group is one of the top ten players in Canada’s specialty financial services industry.
Iceberg Finance Group’s mission is simple: make financing accessible, transparent, and tailored to the needs of every Canadian and every business partner it serves.
In general, the most promising use cases are those that allow:
- Measurable productivity gains in daily tasks,
- Reduced time spent on administrative activities,
- A natural alignment with your existing investments.
Identifying concrete and well-defined scenarios allows you to generate benefits quickly, and to adopt AI more confidently and responsibly.
To learn more, check out this article: Copilot adoption, activation, and governance
One of the first challenges to the use of artificial intelligence is data management, which is often fragmented, limiting the efficiency of operations. Before you can optimize your processes and derive real business value from an AI tool like Microsoft Copilot, your data must be actionable and shareable.
To learn more, check out this case study: Preparing for Artificial Intelligence
