ReBillion.ai

Manages real estate transaction workflows through a state machine architecture that tracks deal progression from offer through closing. The system models each transaction as a directed acyclic graph of states (offer, inspection, appraisal, underwriting, closing) with automated state transitions triggered by document uploads, deadline events, or manual actions. Uses event-driven architecture to coordinate between multiple parties (agents, lenders, title companies) without requiring centralized polling.

Coordinates document collection and distribution across real estate transaction participants (agents, lenders, title companies, inspectors) through a centralized document registry with role-based visibility and automated request workflows. The system tracks which documents each party needs to provide, sends targeted requests, monitors submission status, and automatically distributes completed documents to relevant stakeholders. Uses document templates with variable substitution to generate party-specific requests.

Monitors critical transaction deadlines (inspection period, appraisal deadline, underwriting completion, closing date) and contingency satisfaction status with automated alerts and escalation workflows. The system calculates days-remaining for each deadline, flags approaching deadlines based on configurable thresholds, and tracks which contingencies have been satisfied or waived. Uses calendar integration to sync deadlines with user calendars and sends escalating notifications (email, SMS, in-app) as deadlines approach.

Centralizes all transaction-related communications (emails, SMS, notes, calls) within a single interface organized by transaction and party, with full-text search and conversation threading. The system captures inbound emails from external parties, threads them with related messages, and provides a unified inbox that prevents communication silos across team members. Uses email integration (IMAP/SMTP or API) to monitor transaction-related mailboxes and automatically associates messages with transactions based on deal identifiers or party matching.

Automatically extracts structured data from transaction documents (purchase agreements, appraisals, loan estimates, inspection reports) using OCR and AI-powered field recognition. The system identifies document type, locates key fields (purchase price, loan amount, property address, contingency dates), and populates transaction records with extracted values. Uses document classification models to identify document type, followed by field extraction using either rule-based patterns or fine-tuned language models depending on document structure and consistency.

Monitors transactions for compliance violations, fraud indicators, and operational risks using rule-based checks and anomaly detection. The system validates transactions against regulatory requirements (fair lending, anti-money laundering, state-specific disclosure rules), flags unusual patterns (price mismatches, contingency waivers, timeline anomalies), and generates compliance reports. Uses configurable rule engines to define compliance checks and statistical models to detect outliers compared to historical transaction patterns.

Provides a unified, real-time dashboard displaying all active transactions with customizable views (pipeline by status, timeline view, at-risk transactions, team workload). The system aggregates transaction data from multiple sources (transaction records, document status, deadline tracking, communication logs) and updates in real-time as transactions progress. Uses WebSocket connections or polling to maintain live data and supports drill-down navigation from summary views to transaction details.

Automatically assigns transaction tasks to team members based on role, workload, and availability using rule-based routing and load-balancing algorithms. The system creates tasks for each transaction step (send document request, review appraisal, prepare closing documents), assigns them to appropriate team members, and tracks completion status. Uses configurable routing rules (e.g., 'assign appraisal reviews to licensed appraisers', 'distribute new transactions evenly across coordinators') and monitors workload to prevent overallocation.

Integrates with external real estate systems (MLS, CRM, lender portals, title company systems) through API connections, webhooks, and data synchronization. The system maintains bidirectional sync with connected systems, pulling transaction data from MLS and CRM systems and pushing updates back when transactions progress. Uses API adapters for each external system and event-driven architecture to trigger synchronization when data changes.