Artificial intelligence (AI) has moved out of the “future trends” category and into day-to-day conversations across facilities and workplace teams. Yet for many organizations, there’s still a wide gap between understanding what AI could do and seeing measurable results in real operations.
Facilities leaders aren’t short on ideas. They’re short on time, clean data, and systems that actually work together. The result is stalled pilots, underused tools, and skepticism about ROI.
Closing the AI adoption gap requires a shift in mindset. The most effective AI strategies focus less on experimentation and more on solving practical problems that teams face every day. Industry voices echo this shift.
Key takeaways
- AI delivers value when it’s embedded into daily workflows, not treated as a standalone innovation project
- Facilities teams close the AI adoption gap by starting with operational pain points, such as maintenance visibility, space utilization, and service response time
- Unified data is critical for AI success—integrated workplace, asset, and visitor systems turn insight into action
- Practical AI improves both efficiency and experience, supporting hybrid work, compliance, and smarter resource allocation
- Organizations see the strongest ROI when they pilot one capability, measure results, and scale intentionally across facilities operations
The real barriers to AI adoption in facilities
AI initiatives rarely fail because technology lacks capability. They fail because the operational environment is not ready to support them.
Facilities teams often work with fragmented systems that do not share data, inconsistent asset and occupancy records, and workflows that rely heavily on manual updates. Resistance to change can also slow adoption, particularly when new tools feel complex or disconnected from existing processes.
Leadership teams face an additional challenge: unclear ROI. When AI initiatives are framed as innovation projects rather than operational improvements, they are harder to justify, measure, and scale.
To move forward, organizations need AI that fits naturally into daily workflows and delivers outcomes facility leaders can clearly see and track.
From theory to action: Eptura’s approach to practical AI
Practical AI does not replace facilities teams. It strengthens their ability to operate efficiently and strategically.
This perspective is reinforced by Derek Crager, Founder of Practical AI, in the Asset Champion Podcast. He explains, “AI will never replace our jobs… Skilled professionals are too valuable and scarce to be replaced by machines in the next 50 years. AI tools are designed to empower employees to perform better by providing them with the information and support they need.”
Eptura approaches AI as a toolkit designed to solve every day operational challenges, including maintaining assets, optimizing space, supporting hybrid work, and meeting compliance requirements. AI capabilities are embedded directly into existing workflows, so teams do not need to adopt entirely new ways of working.
This approach turns AI from an abstract concept into an operational capability. Teams do not “use AI” as a separate initiative. They use it to complete tasks faster, make better decisions, and reduce risk across the workplace.
Five practical steps to put AI to work in your facility
Putting AI into practice does not require a full-scale transformation or a rip-and-replace approach. The most successful facilities teams focus on targeted improvements that reduce friction in daily operations and deliver quick, visible wins.
Automate routine tasks to free up staff time
Facilities teams spend significant time updating work orders, logging inspections, and tracking inventory. AI-powered mobile tools and voice-enabled assistants are transforming this reality by capturing updates in real time and dramatically reducing administrative burden. Insights from the Asset Champion podcast reinforce this shift, highlighting how Voice AI can deliver instant access to SOPs, safety routines, and tribal knowledge—empowering every employee to perform at the level of the best employee.
With these tools, technicians can close work orders on the move, update asset status hands-free, and trigger follow-up tasks automatically. The result is accurate, real-time data without pulling staff away from higher-value work.
Make data-driven decisions with leadership-ready dashboards
AI creates value when it turns raw data into insight. By aggregating occupancy, asset performance, and maintenance history into unified dashboards, facilities leaders gain a clear picture of how buildings are actually used.
This need for unified, interoperable systems is echoed in the Workplace Innovator Podcast, where Dominique Burgauer states, “The best workplace technologies are those that are seamless and unnoticeable. Connected systems are essential for accelerating decision-making.”
With this visibility, teams can identify underused spaces, adjust cleaning and maintenance schedules, and prioritize investments based on real demand.
Real-world examples reinforce this point. A multinational technology & information services company, after migrating from legacy systems to Eptura Workplace and Asset, now manages 26 million square feet with unified data for space planning and maintenance.
With this level of clarity, leaders can plan ahead, allocate resources with confidence, and demonstrate measurable ROI.
Enhance security and experience with AI-enabled access
Workplace security and employee experience are closely connected. AI-enabled access solutions, including facial recognition and touchless check-in, streamline entry while supporting compliance requirements.
Visitors move through reception areas more efficiently, employees avoid bottlenecks, and security teams gain better visibility into who is on-site. Automated access logs also simplify audits and reporting.
AI helps create safer, more welcoming environments without adding friction to daily operations.
Coordinate hybrid work and collaboration with conversational AI
Hybrid work introduces new complexity around scheduling, space availability, and team coordination. Conversational AI embedded in collaboration tools allows employees to book desks, reserve meeting rooms, and plan in-office days using natural language.
Employees interact with workplace services in tools they already use, while facilities teams gain better forecasting and utilization data. This alignment improves engagement and ensures spaces are ready when employees choose to come on-site.
Integrate systems for a unified operational view
AI delivers its strongest results when systems are connected. Integrating asset management, workplace management, and visitor data creates a single source of truth for facilities operations.
With a unified view, IT and operations teams reduce data silos, streamline reporting, and accelerate compliance workflows. Information flows automatically across systems, reducing duplication and minimizing risk.
Integration enables faster, more confident decision-making across the organization.
Success stories: Measurable impact in action
Organizations that focus on practical AI applications see measurable improvements across facilities operations. Teams reduce downtime by identifying issues earlier, improve space utilization by aligning portfolios with actual demand, and shorten service response times through automation.
These outcomes translate into cost savings, better employee experiences, and more resilient operations. AI becomes part of how facilities teams work, not an add-on they struggle to maintain.
Getting started: Your roadmap to practical AI
The fastest way to close the AI adoption gap is to start small and scale intentionally. Begin with a high-friction area, such as mobile work order management or space booking.
Pilot the capability, review the data it generates, and measure the impact. As results become clear, expand into adjacent workflows and integrate additional systems. Each step builds confidence, improves data quality, and strengthens the business case for broader AI adoption.
AI does not need to be theoretical to be transformative. When applied intentionally, it becomes a practical tool that helps facilities teams work smarter, move faster, and deliver better workplace experiences.




