
Software Development for Industries
We create dedicated teams of developers to accomplish our partners' goals in any industry. Find on this page some examples.
Case Study # 33
AI-Powered Audit Assistant for Property Management Accounting
CodeBranch developed an AI-powered audit assistant for horizontal property management, providing accountants with real-time dashboards, automated alerts, and LLM-driven conversational insights to streamline the auditing process.

Approach
Technologies
FastAPI
Next.js
Pgvector
PosgreSQL
5 Specialists
- UX/UI designer
- QA specialist
- One senior developer
- Project manager
- Tech Lead
Results
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Streamlined Audit Process: Reduced manual review time by surfacing key findings instantly.
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Real-Time Alerts: Accountants receive timely notifications of deviations or irregularities.
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Conversational Insights: LLM integration allows auditors to query documentation naturally, saving hours of manual report checking.
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Improved Decision-Making: Faster and more accurate identification of financial risks within property management.
Overview
CodeBranch developed a platform designed to act as an intelligent assistant during the accounting audit process in the niche of horizontal property management. The goal was to provide accountants with a modern dashboard capable of visualizing key findings extracted from different financial documents they typically review, such as balance sheets, bank reconciliations, budget deviations, and tenant payment statuses (both overdue and prepaid).
Solution
Our dedicated team built a dashboard-driven application where auditors can quickly identify anomalies, deviations, or alerts throughout the accounting process. By centralizing this information into a single interface, accountants gain real-time visibility into the health of financial operations, ensuring that critical issues are spotted before they escalate.
A core innovation of this project was the integration with Large Language Models (LLMs). By linking the platform to LLMs, accountants are able to interact with documentation conversationally. Instead of navigating through dozens of reports, auditors can simply ask questions—such as “Which tenants are behind on payments this quarter?” or “What are the largest budget deviations compared to last year?”—and receive contextual answers directly supported by the analyzed data.
Case Study #32
PropTech Platform for Real Estate Investment in the U.S.