Overview
A leading company manages 3,000+ properties, with teams previously relying on emails and spreadsheets. This led to fragmented data, manual effort, and slow decision-making.
Challenge
- No single source of truth across teams
- Manual invoice processing and reconciliation
- Data scattered across emails, SAP, and MIS reports
- Limited visibility into vacancies and costs
AI Library's Solution
AI Library introduced an AI-driven operations layer that unified data and automated workflows:
- Centralized Property Master: AI consolidated data from emails, SAP, and MIS into a single, structured system
- Email-Reading AI Agents: Automatically extracted and updated property status, maintenance, and financial data from emails
- AI Invoice Processing: Read, structured, and mapped invoices to properties, enabling accurate OpEx tracking
- Automated Reconciliation: Cross-checked financial and sales data across systems and flagged discrepancies
- Real-Time Visibility: Live dashboards replaced end-of-month reporting
Impact
- Efficiency: Invoice processing reduced by X hours/month with ~99% accuracy
- Speed: Reporting moved from monthly cycles to real-time visibility
- Revenue: Better tracking of vacant properties generated ₹X in additional revenue
- Control: Improved data accuracy and proactive issue detection
Outcome
The team moved from manual, fragmented and spreadsheet-heavy workflows to an AI-managed system of record—unlocking faster decisions, better financial control, and improved asset performance.