Higher education facilities teams are under increasing pressure to maintain aging buildings, justify capital investments, and make strategic decisions with limited resources. At the 2026 Campus FM Technology Association (CFTA) Annual Conference, facility leaders will explore the technologies helping campuses improve operations, manage assets more effectively, and plan for the future.
One of this year's featured sessions will focus on a topic generating significant interest across the industry: practical AI for facility assessment and capital planning.
Join Steven Warshaw, CEO of Intellis, as he shares real-world examples of how artificial intelligence is improving facility assessments today — not as a future concept, but as a practical tool that enhances existing workflows and supports better capital planning decisions.
Practical AI Applications in Facility Assessment and Capital Planning
Wednesday, August 5, 2026
11:15 AM – 12:00 PM
Artificial intelligence is changing how facility professionals collect, analyze, and communicate building condition data. This session demonstrates how organizations can apply AI immediately to improve efficiency, reduce manual work, and generate more reliable information for capital planning.
Using real-world examples, Steven will demonstrate how AI can:
Rather than focusing on theoretical possibilities, the session emphasizes practical implementation strategies that facilities teams can begin applying immediately.
Attendees will leave with actionable ideas to:
Whether you're responsible for facility condition assessments, asset management, campus planning, or capital improvement programs, these strategies can help your team make faster, more informed decisions.
Across higher education, facilities departments are managing aging infrastructure while balancing limited budgets and increasing expectations. Teams are expected to assess more buildings, maintain better data, and justify larger capital investments than ever before.
The result is better visibility across campus portfolios and greater confidence in long-term capital planning.
AI delivers the greatest value when it's built on structured, reliable facility data.
Standardized assessment methodologies and consistent data collection provide the foundation that enables AI to identify trends, automate routine tasks, and support strategic planning.
At Intellis, we believe technology should empower facility professionals — not replace them. By combining proven facility assessment practices with practical AI, organizations can shift from reactive maintenance toward proactive, long-term capital planning.
If you'll be attending CFTA 2026, stop by to meet the Intellis team and learn how organizations are using practical AI to modernize facility assessments, improve capital planning, and make more informed investment decisions.
AI for facility assessment uses technologies such as computer vision, automation, and data analysis to improve building inspections, increase data quality, reduce manual work, and help organizations prioritize capital investments more effectively.
AI helps facilities teams analyze large volumes of facility condition data, identify funding priorities, automate reporting, and provide decision-makers with actionable insights that support long-term capital planning.
No. AI is designed to support facility professionals by automating repetitive tasks, improving data consistency, and providing faster insights. Human expertise remains essential for evaluating facility conditions and making strategic planning decisions.
Computer vision can help identify building components, document deficiencies, improve inspection consistency, and reduce the time required to collect and process assessment data.
AI depends on high-quality, standardized data. Consistent assessment methodologies and structured facility information allow AI to generate more accurate insights, improve reporting, and support better capital planning decisions.