Smart Building Technology Buyer’s Guide

Overview

This webinar provides a practical introduction to evaluating and implementing smart building technology. OpenBlue experts Jennifer Heath, Hannah Graziano, and Ruben Petty discuss the foundational capabilities buyers should consider, the business challenges different technologies can address, and the steps organizations can take to create a realistic implementation roadmap.

The session organizes smart building solutions into two connected areas: workplace management and building management. Although the needs of occupants, workplace teams, and building engineers may differ, successful technology strategies bring these areas together through connected data, interoperable systems, and clearly defined business outcomes.

Building the right foundation

Successful smart building programs begin with a strong technology foundation. The webinar highlights three particularly important considerations: cybersecurity, artificial intelligence, and integration and interoperability.

As physical equipment becomes more connected to networks, cloud platforms, and other applications, organizations must consider cybersecurity across both information technology and operational technology. This includes evaluating capabilities such as zero-trust architecture, network segmentation, and long-term protection for connected building systems.

The session also emphasizes that AI is only as effective as the data supporting it. Building data must be aggregated, standardized, and harmonized before it can reliably support AI applications, predictive insights, analytics, and automation.

Integration and interoperability are equally important. Buyers should evaluate whether a solution offers open APIs, works across different vendors, minimizes manual data transfers, and can fit within a broader technology ecosystem as needs evolve.

Understanding and optimizing workplace space

Workplace planning and management solutions can help organizations turn occupancy and utilization data into better real estate decisions. These solutions may incorporate information from occupancy sensors, room and desk reservations, Wi-Fi, access-control systems, and other sources.

By bringing these data sources together, organizations can better understand how spaces are used across different days, times, floors, and locations. This visibility helps workplace teams evaluate whether they have the right amount and mix of space, right-size their portfolios, and align workplace strategy with how employees and visitors actually use the building.

Creating a better workplace experience

Smart workplace technology can also remove everyday points of friction for building occupants. Employees may need to reserve a desk or meeting room, find a colleague, navigate an unfamiliar building, request assistance, or access workplace services.

Rather than requiring people to navigate several disconnected tools, an integrated workplace experience can connect people with the spaces and services they need. When designed effectively, these solutions can give employees time back, support productivity and engagement, and help organizations understand how well the workplace is performing.

Moving from reactive to predictive operations

On the building management side, AI-powered analytics can help facility teams move beyond reactive maintenance. Continuous monitoring can identify equipment anomalies, pinpoint potential root causes, prioritize issues by severity, and estimate operational or financial impact.

Connecting these insights with computerized maintenance management systems can help turn detected faults into actionable work orders. Digital twins and asset visualization can provide additional context for remote diagnostics, troubleshooting, and capital planning. Together, these capabilities can reduce administrative burden, improve response times, support asset reliability, and help technicians focus on the work with the greatest operational impact.

Connecting operational efficiency and sustainability

The webinar explains that sustainability and operational efficiency should not be treated as separate initiatives. The same connected systems that improve equipment performance can also identify wasted energy and water, detect operational drift, and provide better visibility into portfolio performance.

Automated, verifiable data can also support ESG measurement, emissions reporting, audits, and regulatory compliance. By replacing manual tracking with connected data systems, organizations can develop a clearer baseline, measure progress, and translate sustainability commitments into practical actions.

Creating an implementation roadmap

The session concludes with a practical, phased approach:

1. Assess your current state. Identify the solutions and technologies already in place, along with the organization’s most pressing business challenges.
2. Prioritize use cases. Determine which challenge should be addressed first and how that initial use case could support future capabilities.
3. Evaluate potential solutions. Consider maturity, scalability, interoperability, implementation support, vendor strategy, and customer references.
4. Start small and think big. Use a pilot or starter location to validate the solution, learn what works, and create a repeatable model.
5. Build for the future. Select technology that can support additional use cases, integrations, and business priorities over time.

Final takeaway

Smart building transformation does not require implementing everything at once. The strongest strategies begin with a clear understanding of current challenges, establish a reliable and interoperable data foundation, and then scale through prioritized use cases.

By connecting workplace, equipment, energy, and operational data, organizations can make more confident investment decisions and build a smarter, more efficient, and more resilient portfolio.