Artificial Intelligence (AI) is transforming industries – and healthcare facilities management (HFM) and healthcare technology management (HTM) are no exception. With budgets and priorities constantly under pressure, AI-powered tools can help hospitals and health systems reach new levels of efficiency by enabling maintenance teams to make smarter decisions faster and operate with less manual lift.
At FSI, healthcare’s leading CMMS, we strive to empower customers with solutions that simplify complex processes. In early 2026, this will include Analytics AI+, an AI-chat addition to our Analytics module developed in partnership with Enstoa, a Consertus company. Analytics AI+ enables users to ask plain-language questions about their data and get instant answers instead of navigating dashboards or running manual reports. These insights fuel process changes, budget decisions, and departmental priorities that ultimately improve the quality of patient care.
Recently, a cohort of FSI customers tested Analytics AI+ over several weeks as part of the Early Adopter Program (EAP) – a collaboration initiative launched to ensure major releases meaningfully meet the needs of healthcare maintenance teams.
“The Early Adopter Program gives our customers a front-row seat to innovation. Participants can experience AI+ firsthand, explore smarter, faster insights within CMS Analytics, and directly shape the future of AI-powered analytics – while helping FSI ensure we’re building tools that solve real problems and drive measurable value.” – Shawn Hewitt, Senior Product Manager at FSI
Throughout the testing process for Analytics AI+, FSI customers used the tool in their daily processes, providing feedback along the way to guide final development tweaks. This real-time input helps resolve delivery quirks, stress-test for bugs, identify useful enhancements, and more. As use cases were tested and the AI model was explored, common threads came to the forefront.
The primary takeaway was that the interactive nature of Analytics AI+ made data analysis feel more accessible and intuitive. Instead of wrestling with complex queries, users could simply ask questions like “What is the most common issue found across all segments?” or “How many assets do not have a procedure schedule at X location?” and receive insights accordingly. This approachable way of interacting with operational data means faster results and less time spent on manual analysis.
Participants also found that prompting technique is important to consider, with best results found from descriptive prompts based on the specific data points being explored and iterative analyses to allow the model to refine responses with clarifying questions.
Some feedback points reinforced the essential role that a reliable, accurate database plays for operational improvement. As data is leveraged and analyzed, whether with AI or manually, the insights that follow are only as useful as they are trustworthy. In some cases, Analytics AI+ helped identify incorrect data that could be resolved to better inform decisions moving forward.
Before launching early next year, the feedback and suggestions gathered during the Early Adopter Program will be used to adjust Analytics AI+, from small bug fixes to the addition of useful features like incorporating data source references in the AI’s responses.
To ensure the best possible product for healthcare HTM and HFM teams, FSI will continue offering an Early Adopter Program – gaining valuable feedback directly from the people utilizing our suite of solutions. As a CMMS/EAM designed for healthcare, this collaboration supports the development of tools that make processes simpler and operations smarter for HTM and HFM teams.
Are you an FSI customer interested in participating in a future EAP? Reach out here!