Introducing AI across communications can reshape the role of facilities managers, shifting their focus from manual tasks, to strategic planning and analysis. This requires upskilling and adapting to new technologies, but AI enables more efficient two way communication, fast- tracking the time spent on tasks that would usually take weeks, to only take days.
SLAs: Reducing the timeframe and
tracking more effectively SLAs are critical in maintaining high standards in FM and are set to strict standards by clients. A number of FM companies have faced challenges with complex and limited-access ticket management systems. These systems are typically only accessible to a smaller user base. Therefore, non-technical personnel are likely to struggle to effectively report issues.
By centralising SLAs via AI that’s integrated with their existing systems, FM companies can steal a march on competitors. Our own sector-specific AI solution offers a centralised system to track and manage SLAs. It can collate, analyse and leverage data to highlight repeat issues, or underperformance versus SLAs, and ensure FMs address these issues effectively and efficiently.
Integrating smarter tools allows the automated categorisation and flagging of issues to ensure faster and more accurate response times. As a result, SLA timeframes are reduced and processes become more efficient. A notable by-product of this benefit is higher compliance and better service delivery.
Recognising the importance of client and tenant satisfaction FM companies need innovative service offerings to stay ahead in an industry focused on customer satisfaction. Manual methods can fall short when it comes to offering the highest quality of service and product offering.
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AI integration can significantly improve internal service quality and product ordering processes by streamlining operations and ensuring accurate issue resolution. FMs gain access to real-time property data and performance insights. They can build a comprehensive picture of their buildings, and adapt their operations in line with those data-driven insights.
Seeing this in practice - case study Leading German facilities management company, WISAG, managed to reduce SLA timeframes and improve service quality using askporter’s advanced AI tool. WISAG was able to centralise communication, streamline SLA tracking, and automate its issue categorisation and prioritisation.
By improving transparency, FMs can now see their property data, effectively monitor SLAs to ensure they are met, and access performance insights. By optimising its operations and maintaining high levels of service through AI adoption, askporter supports WISAG to outsprint the competition, as other firms start to integrate AI.
As seen, integrating AI into FM amid the wider increasing implementation across the real estate industry, in a thoughtful manner, is a surefire way to optimise operations. We can see first-hand how it helps put a number of challenges that have long plagued the sector to bed.
By addressing these unique challenges using AI solutions that are designed with the sector in mind, companies can alleviate pressure, stress and inefficiencies for FM teams. That in turn enables FMs to attribute more time to strategic projects, adhere to industry best practices and elevate customer experience to the next level.
www.askporter.com TOMORROW’S FM | 29
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