Can OfficeSpace Break Real Estate’s Resistance to Modernization?

Real estate is one of the biggest expenses on a company’s books, yet it is also one of the least modernized parts of the business. Most organizations are still making multi-million-dollar decisions with outdated tools, spreadsheets, and gut instinct.

OfficeSpace is trying to change that by using AI not as a facilities add-on but as a direct lever on the P&L. The idea is simple: help companies use the space they already have more intelligently. That means automating restacks, predicting which areas will be under-used, keeping assets running longer, speeding up planning cycles, and giving employees smarter recommendations about where and how to work.

OfficeSpace’s AI product vision integrates its workplace suite with Dojo’s multi-model architecture. For tenants and commercial real estate organizations, it positions itself as an AI operating system for physical workplaces, capable of interpreting data across space planning, workforce management, assets, visitor flows, bookings, and employee patterns.

The platform contains many of the features corporate real estate teams require to manage their space effectively. For example:

• Workforce management reveals who is truly using the space and their patterns.
• Space planning tracks leases, occupancy, and costs across locations.
• Employee experience tools make booking desks and rooms effortless.
• Asset management predicts failures and extends lifespan.
• Real estate management handles long term portfolio planning.
• Visitor management supports secure, modern check-ins.

Behind the scenes, multiple AI models collaborate to spot unused space, forecast attendance and use, and propose new seating layouts. The system can generate full office restacks, recommend who should sit near whom based on collaboration patterns, and surface insights through a natural language copilot that employees and planners can interact with. In collaboration with Google’s engineering teams, OfficeSpace is developing faster ways to edit and transform floor plans using advanced generative models.

Our Take

Most organizations still rely on spreadsheets and manual processes as their primary tools for space planning. Other commercial real estate organizations piece together point solutions for visitor management, room booking, badging, or asset tracking. These single purpose tools are easy to adopt but rarely integrate in a way that gives leaders a coherent view of their workplace.

The legacy IWMS (Integrated Workplace Management System) players offer broad suites but have been slow to adopt AI and remain tied to older architectures. Emerging AI workplace startups are innovative but lack the long-term operational datasets needed to produce accurate predictions.

OfficeSpace is attempting something the workplace category has avoided for 20 years – replacing manual, political, and spreadsheet‑driven processes – using AI‑directed optimization. The Dojo acquisition gives them a defensible foundation in domain‑specific models that competitors will struggle to replicate quickly.

The biggest risk is not the technology but the culture of CRE (Commercial Real Estate) teams that have historically resisted modernization and remain loyal to workflows that no longer fit the hybrid era. The value is real, but adoption depends on whether enterprises are willing to let AI influence decisions that historically lived in intuition and organizational politics. The result is one of the strongest AI narratives in workplace tech today, but one that must still prove it can overcome category inertia. If real estate costs matter to your organization, it is worth engaging with providers like OfficeSpace now rather than waiting for another cycle of underutilized office space and lost savings.

Real estate represents 10 to 20 percent of corporate P&L yet remains one of the least modernized operational domains. OfficeSpace is positioning AI as a P&L line optimization engine rather than a facilities tool. As OfficeSpace encompasses multiple areas of real estate management, technology leaders and CFOs should evaluate opportunities to consolidate their software solutions and minimize technical debt.