Transforming Financial reporting with Machine Learning & Automation

The Challenge

Manual and Repetitive Financial Reporting

The financial reporting process in the property accounting work stream for alternate investments involves all real estate clients receiving a comprehensive financial report every month for each property.

Downloading and templatizing reports like local GAAP, US GAAP, income statements, adjustments, late entries and GL specifications for all the real estate portfolios from the bookkeeping system are completely manual. Though downloading these reports from the bookkeeping system is the first step towards building the financial reports for the clients, it remains a repetitive and non-value added activity.

Automation First approach solution

Implementing a Hybrid-Agile RPA Bot

With an Automation First approach, Our Custom solution comprised of a due diligence to identify transformation opportunities including process standardization and robotics process automation across multiple processes. The automation solution enables our client to eliminate the non-value-added activity. The RPA bot automatically downloads reports like – Balance sheet, Income Statements, GL entries etc. and templatize it in an excel format as per the business rules for each of their customers. By prioritizing the financial reporting process due to its mundane nature, we deployed automation in a hybrid-agile approach. With downloading of financial reports done faster and without any human intervention, the overall reporting process was simplified.

The Results

Revolutionizing the Reporting Workflow

The "Automation First" approach revolutionized the financial reporting process. By automating the downloading and templating of reports, our client eliminated repetitive, non-value-added activities, freeing up their team to focus on higher-value tasks.

77%
Time Reduction per Entity
100%
Accuracy Achieved
95%
Straight-Through Processing

Ready to Automate Your Reporting?

Learn how our RPA and AI solutions can improve your operational efficiency.

Get In Touch

Frequently Asked Questions

Find answers to common questions about our AI solutions.

How long does it take to implement an AI solution? +

The implementation timeline varies depending on the complexity of the project, data availability, and integration requirements. A typical project can range from a few weeks for a pilot to several months for a full-scale enterprise solution. We provide a detailed project plan with clear milestones at the outset.

What kind of data do I need for a successful AI project? +

The more high-quality, relevant data you have, the better. This can include historical sales data, customer behavior, operational logs, or unstructured data like text and images. Our team will work with you to assess your data assets and identify any gaps.

How do you ensure data security and privacy? +

Data security is our top priority. We adhere to strict data protection protocols, including encryption, access control, and compliance with regulations like GDPR and CCPA. We are committed to ethical AI practices and ensuring your data is handled responsibly.

What is the ROI I can expect from an AI solution? +

The ROI can be substantial, manifesting as increased revenue, reduced operational costs, improved efficiency, and enhanced customer satisfaction. We work with you to define key performance indicators (KPIs) and measure the impact of our solutions on your business goals.