New approaches to how we plan, operate, and experience the spaces where we work and gather are reshaping commercial real estate.

What used to be an exercise in mechanical control—keeping HVAC humming and lights on—has become a data-rich, AI-assisted discipline that blends operational technology (OT) and information technology (IT) into one digital nervous system.

The result? Buildings that sense, learn, and act in real time to improve comfort, cut carbon, and boost business performance.

This blog distills key ideas from The Future of Smart Buildings and Operations: How Technology, Data, and AI Are Driving Convergence, the new ebook co‑authored by Schneider Electric and Planon, and translates them into a practical narrative for facilities and workplace leaders ready to take the next step.

The new workplace

Standards for commercial buildings are higher than ever before. Today’s buildings must be dynamic hubs that support hybrid work and employee well-being while operating sustainably amid rising concerns about energy use and carbon emissions.

The traditional “siloed” operations of the past can’t keep up with these changes.

This is why businesses are transforming their spaces into intelligent, autonomous buildings powered by digital technologies. Smart environments now adapt to occupancy levels throughout the day, automatically tuning ventilation, temperature, and lighting. They guide people to available desks and rooms and adjust to personal comfort preferences—all while minimizing wasted energy. The measure of success is expanding beyond “uptime” to include Return on Experience (RoX): comfort, productivity, and the signals that help attract and retain talent.

Why adoption stalls, and how to break through

The global smart building market is projected to grow from $99.2 billion in 2024 to $197.3 billion by 2030. Yet many portfolios struggle to scale due to common roadblocks:

• Upfront investment vs. distributed benefits. Landlords fund upgrades, tenants capture savings. New commercial models and a clear understanding of ROI across both financial and non-financial gains are essential.
• Siloed systems. HVAC, lighting, access control, and maintenance platforms often live in separate stacks, making integration difficult and insights partial.
• Cybersecurity and data protection. More connected devices can mean greater vulnerability to attacks; governance and security controls must be built in from the start.
• Skills gaps. Facility teams need training in data, cloud, and automation to interpret insights for day-to-day operations.

Progress accelerates when organizations pair technical innovation with education, open standards, and financial frameworks that align incentives. As technologies become simpler to integrate—and as case studies prove lasting value—adoption will likely accelerate.

The digital nervous system of a building

Think of a modern building like a living organism:

• Sensors and IoT devices are the nerve endings: continuously capturing occupancy, energy use, temperature, humidity, CO₂, equipment status, and more.
• A cloud-based data platform acts as the spinal cord: ingesting, cleansing, and structuring timeseries signals from diverse sources (via REST, BACnet, Modbus, MQTT, etc.).
• AI and analytics are the brain: diagnosing issues, predicting outcomes, and recommending (or automating) actions.

Download the full ebook, The Future of Smart Buildings and Operations: How Technology, Data, and AI Are Driving Convergence, to explore the strategy behind continuous building data operation. Discover how the right architecture transforms raw data into actionable insights that drive predictive maintenance, energy optimization, and personalized experiences.

From reactive to predictive to autonomous

Historically, operations relied on manual rounds and rule-of-thumb adjustments. Today, AI analyzes patterns across thousands of data points to surface anomalies and forecast failures, shifting maintenance from reactive to preventive and condition-based. As models mature and controls interlock, the path leads to autonomous behaviors: systems that self-diagnose, tune, and even self-heal without waiting for alarms to escalate.

Consider everyday examples:

• Occupancy-aware HVAC & lighting: When rooms empty, lighting dims and ventilation resets—no human intervention required.
• CO₂-driven ventilation: IAQ sensors trigger fresh-air adjustments to maintain cognitive comfort while avoiding waste from overventilation.
• Predictive work orders: A declining fan speed automatically generates a maintenance ticket, scheduled for the least disruptive time.

Automation doesn’t replace human expertise; it amplifies it—freeing teams from repetitive tasks so they can focus on strategy, resilience, and experience.

OT + IT convergence: Schneider Electric and Planon

To unlock portfolio-level intelligence, data must flow between building systems (OT) and business processes (IT).

Schneider Electric’s EcoStruxure™ Building Data Platform provides a cloud-hosted, centralized repository that unifies HVAC, lighting, security, energy, and other building systems through open protocols and APIs.

Planon’s Integrated Workplace Management Solution (IWMS) layers business workflows such as space planning, lease management, maintenance, services, and energy intelligence on top of that data.

Together, they translate raw data into action:

• Diagnostics and automated fault detection highlight inefficiencies (e.g., leaking valves, high supply temperatures) that drive energy use.
• Workflow automation generates, routes, and closes work orders based on data events, compressing cycle times and reducing backlog.
• Space analytics blends sensor data with booking patterns to right‑size rooms, rebalance neighborhoods, and improve utilization for hybrid work.

The outcome is a single source of truth for operators and executives, with consistent KPIs across energy, comfort, utilization, and cost.

Practical pathways: Retrofit for impact, scale for value

You don’t need a new build to get smart.

Retrofitting delivers outsized returns by layering wireless sensors and cloud connectivity onto existing assets:

• Start with visibility. Instrument key zones with occupancy and IAQ sensors. Establish a cloud data backbone and dashboards for operators and workplace teams.
• Automate quick wins. Tie lighting and ventilation to occupancy. Enforce temperature setpoint ranges. Implement automatic fault detection.
• Integrate workflows. Connect operational insights from live data to maintenance and space management processes in IWMS. Measure backlog reduction and service level improvements.
• Benchmark and iterate. Aggregate energy and utilization across sites, compare peers, and target the biggest gaps for optimization.

As capabilities expand, bring in digital twins, edge analytics, and 5G connectivity to support richer models and faster local decisions.

The goal is not technology for technology’s sake, but continuous value creation: lower energy and emissions, better experiences, higher asset resilience, and clearer executive visibility.

Turning building data into business strategy

For facilities, workplace, and sustainability leaders, the real unlock is translating technical gains into outcomes the C-suite recognizes:

• Build the business case with quantifiable metrics: kWh saved, carbon avoided, comfort scores, and utilization improvements.
• Elevate decision-making with predictive insights: failure risk, energy demand forecasting, and space optimization scenarios.
• Create executive dashboards with portfolio rollups and trend lines tied to ESG targets and financial KPIs.
• Align with HR & Finance by demonstrating links between environmental quality, productivity, retention, and total cost of occupancy.
• Reframe the conversation from “cost of operations” to “strategic asset performance” and RoX.

Start where you are, scale what works

Whether you’re looking to understand the return on investment, evaluate IoT and cloud solutions, or build a multi-year smart building strategy, The Future of Smart Buildings and Operations: How Technology, Data, and AI Are Driving Convergence provides the playbook you need to move from strategy to implementation.

Access our readiness checklist, a real-world case study, and get practical steps to future-proof your portfolio with AI, IoT, and cloud integration.

Download the executive summary of the ebook now to begin transforming your buildings into intelligent, adaptive ecosystems.