Quick Summary
- ▸ 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.
- Streamlined Audit Process: Reduced manual review time by surfacing key findings instantly.
- Real-Time Alerts: Accountants receive timely notifications of deviations or irregularities.
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).
Industries
Proptech Finance
Services Provided
- Web Development
- Custom Software Development
- AI Development
Approach
Technologies used include FastAPI, Next.js, Pgvector, and PostgreSQL. The project was delivered by 5 specialists: a UX/UI designer, a QA specialist, one senior developer, a project manager, and a Tech Lead.
1x UX/UI Designer
1x QA Specialist
1x Senior Developer
1x Project Manager
1x Tech Lead
Results
- Streamlined Audit Process: Reduced manual review time by surfacing key findings instantly.
- Real-Time Alerts: Accountants receive timely notifications of deviations or irregularities.
- Conversational Insights: LLM integration allows auditors to query documentation naturally, saving hours of manual report checking.
- Improved Decision-Making: Faster and more accurate identification of financial risks within property management.
Frequently Asked Questions
How does the AI audit assistant help accountants find issues faster?
The platform consolidates financial data from multiple document types — balance sheets, bank reconciliations, budget deviations, and tenant payment statuses — into a single dashboard. Anomalies, deviations, and alerts are surfaced automatically, allowing accountants to identify issues at a glance instead of manually reviewing dozens of individual reports.
Can accountants ask questions about the financial data in plain language?
Yes. The platform integrates Large Language Models (LLMs) that allow auditors to query financial documentation conversationally. For example, an accountant can ask "Which tenants are behind on payments this quarter?" and receive a contextually accurate answer drawn directly from the underlying analyzed data.
Is this solution specific to horizontal property management or can it be adapted?
The platform was designed specifically for the horizontal property management accounting niche, addressing the particular document types and financial workflows common in that sector. However, the underlying architecture — LLM integration, dashboard-driven anomaly detection, and real-time alerting — is adaptable to other accounting and audit contexts.
What technologies power the conversational AI and data retrieval features?
The conversational AI layer is built using Large Language Models integrated with pgvector for semantic search over financial documents, PostgreSQL for structured data storage, FastAPI for the backend API layer, and Next.js for the frontend dashboard interface.
How does the real-time alert system work for accounting irregularities?
The platform continuously monitors financial data and automatically generates alerts when it detects deviations or irregularities — such as unexpected budget variances or overdue tenant payments. Accountants receive timely notifications so that critical issues can be addressed before they escalate into larger financial risks.
