facilitate strategic transitional planning and alignment with overarching operational goals. While these assessments are essential, the fast-paced nature of smart building technology means that the infrastructure it relies on is more rapidly evolving. As the growth of the infrastructure outstrips the accuracy of the initially collected data, additional surveys are needed to produce a “here-and-now” inventory audit, with little expectation of any effort to maintain the resulting documentation beyond the immediate need of the current project. The evidence collected during a static survey quickly becomes outdated, necessitating additional surveys that are rarely maintained beyond the immediate project needs. This ultimately results in even the most forward-thinking ownership and management groups struggling with costly inefficiencies, infrastructure planning challenges, and unanticipated upgrade expenses. To overcome these challenges, commercial stakeholders can benefit from transitioning beyond static surveys and embracing active evidence collection—a proactive, ongoing process that captures real-time infrastructure data. Unlike static surveys, active evidence collection ensures continuous visibility into a building’s physical layer, enabling property stakeholders to manage their assets more effectively, enhance tenant experiences, and future-proof their buildings for evolving technological demands. DEFINING ACTIVE EVIDENCE COLLECTION Active evidence collection is a dynamic, ongoing process that continuously manages, monitors, and updates key data by maintaining regular communication with building owners, property management staff, tenants, vendors, and consultants while also actively managing ongoing maintenance and documentation activities. This proactive approach not only supports improvements in smart building technology and eliminates costly survey activities, but also enhances the overall occupant experience by addressing evolving needs and uncovering opportunities for optimization. Active evidence collection is applied across all six major silos of a smart building to ensure each system is optimized and the documentation gathered
is actively managed. While many devices deployed across the different silos have a component of predictive maintenance built into them, they all rely on the connectivity of the device, and each can present unique challenges in physical evidence collection. THE CHALLENGES OF IMPLEMENTING ACTIVE EVIDENCE COLLECTION Smart buildings can come with unique challenges for active evidence collection. When organizations attempt to internally manage survey, documentation, and maintenance activities, they often encounter significant challenges that can be difficult—if not impossible—to navigate alone. Limited resources, expert dependencies, inconsistent training, conflicting requirements, and coordination issues all contribute to gaps and inefficiencies that undermine the effectiveness of internal programs. IT department stakeholders often operate at the portfolio level rather than focusing on individual buildings. Their expertise is typically focused on managing networks and systems in active use, this means they may not prioritize comprehensive infrastructure documentation practices at the site level. The systems they rely on can produce impressive data outputs, including predictive maintenance metrics on many of their sensors and devices, but the stakeholders rely on resources local to the building for knowledge of the actual physical backbone. This lack of detailed site-specific knowledge can make active evidence collection efforts challenging, requiring additional coordination between local building IT resources, property management teams, and the vendors contracted to install and maintain the sensors and devices their smart building systems require. The absence of standardized training, conflicting requirements, and challenges in access coordination all contribute to the inherent weaknesses in most efforts to manage effective active evidence collection programs. Compounding this challenge is that the majority of third-party property management companies are on fixed-term contracts and focus on operational concerns, meaning that continuity in documentation practices is rarely a priority. Over time, a change
Active Evidence Collection: Redefining Survey and Assessment Activities in Smart
Buildings By Dennis Mazaris
How shifting from static surveys to continuous active evidence collection unlocks smarter, more efficient building management. Best-in-class smart building environments comprise six key components: connectivity, power and energy, life and property safety, health and wellness, cybersecurity, and sustainability. Understanding and maintaining the systems of each of these silos is essential to optimizing building performance, reducing operational expenses, ensuring compliance with evolving standards, and enhancing the overall building occupant experience. 1 While all six components are vital, connectivity serves as the foundation that supports them all. As smart building devices in each of the silos evolve and the platforms that leverage their data continue to advance so, too, does the connectivity infrastructure that supports them. The data generated by newly implemented smart sensors and devices provide increased insight and cost efficiencies 2 , but their effectiveness is wholly reliant on the building's network to deliver that data. It is the building's
connectivity infrastructure that ensures seamless communication across networks, supporting the building automation systems (BAS) that stakeholders rely on to optimize their environments. Given the essential role of connectivity in smart building operations, updating infrastructure and maintaining accurate connectivity documentation is fundamental for effective maintenance, management, and planning. As a result, organizations depend on surveys to gain insight into the condition, functionality, and potential viability of upgrades to their smart building systems. STATIC SURVEYS - AN OUTDATED APPROACH TO A MODERN PROBLEM Traditionally, building infrastructure evaluations have relied on static surveys, which provide a snapshot of building systems at a specific moment. These resource-intensive surveys are typically conducted during key technology upgrades, lease transitions, building certifications, or asset acquisition due diligence activities. These establish a foundational understanding of key building components and
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