Eptura has expanded its Eptura AI platform across workplace, facilities, asset, visitor and real estate operations, extending AI assistants and agents across several parts of its software portfolio.
The expansion covers operational intelligence, maintenance management, workplace experience, visitor management and portfolio planning. The system is built on data drawn from workplace, facilities, asset, visitor and real estate operations, with the aim of linking decisions in those areas to broader business performance.
The move reflects growing interest among companies in applying artificial intelligence to operational data rather than using isolated tools for single tasks. In property and workplace management, that can include information on space use, maintenance schedules, visitor flows and service delivery.
The updated portfolio includes AI assistants and agents for operational intelligence, asset and maintenance management, space and portfolio management, visitor management, workplace experience and integrated workplace management. Additions include Eptura Envision Assistant, Eptura Assistant for Maintenance, Eptura Proactive Fleet Maintenance and Eptura Assistant for Scenario Planning.
Other tools include Facial Recognition Check-In for visitor arrivals, an assistant for visitor management, Intelligent Booking for workspace reservations, AI waitlists and seat upgrades, and Copilot for Eptura Engage through Microsoft Teams. Archibus-branded products in the platform include Workplace Intelligent Booking, Assistant for Data Analysis and AI Work Request Summaries.
Connected data
Eptura is positioning the expansion around connected operational data across property, facilities and workplace systems. The platform can work with Microsoft applications, ServiceNow, Autodesk, ERP systems, access control systems, IoT sensors and building systems.
The approach is intended to let users query data in natural language and automate actions within existing workflows. It also reflects a wider push among software suppliers to embed AI in established business systems rather than require customers to deploy separate tools.
Eptura says customers use its products to manage workplaces, facilities, assets, visitors and real estate portfolios. It is used by more than 11,000 organisations in 115 countries, including half of the Fortune 500.
Much of the commercial case for AI in this sector centres on cost control and the use of expensive physical assets. Landlords, occupiers and facilities teams are under pressure to make better use of office space, reduce downtime in buildings and equipment, and improve employee and visitor experience without adding administrative work.
The expanded platform is designed to help organisations identify underused capacity, extend asset performance, align spaces and services with working patterns, automate routine service delivery and track how operational decisions affect financial outcomes. Those claims place the product squarely in the market for software that links property operations with finance and workforce planning.
Executive view
Raj Batra, Chief Executive Officer of Eptura, outlined the company's case for broader use of AI in operational systems.
"The next wave of enterprise AI will come from understanding the relationships between operational decisions and business outcomes," said Raj Batra, Chief Executive Officer of Eptura.
"The impact of a utilization trend extends beyond occupancy metrics. It can influence portfolio strategy, service delivery, maintenance planning, investment priorities and overall financial performance. Eptura AI helps organizations understand those connections and act on them with greater speed and confidence," Batra said.
Eptura has been building out a platform spanning integrated workplace management, maintenance and asset systems, employee experience software and visitor management. The inclusion of Archibus products in the latest expansion underlines how the company is using brands acquired or developed across different parts of the built environment software market.
For customers, the practical value of such platforms often depends on whether data from separate building, maintenance and workplace systems can be brought together in a usable form. That has been a persistent challenge for large organisations with fragmented property portfolios and a mix of old and new software.
Eptura says its AI tools operate within the context of an organisation's existing workplace, facility, asset, visitor and real estate operations. The goal is to ensure recommendations reflect how operations actually run, rather than rely on detached models or one-off prompts.
It also plans to keep adding AI assistants, agents, predictive intelligence and cross-platform features across the portfolio. The broader objective is to help organisations anticipate issues, act faster and improve operational and financial performance.