Why building owners are adopting CBM in the first place: to reduce reactive work, improve labor productivity and resiliency, lower repeat failures, improve occupant experience, and cut avoidable energy waste. This section frames the outcomes the playbook is designed to help achieve.
A practical 9-step procedure for turning equipment signals into maintenance action, from defining outcomes and mapping workflow to triage, execution, piloting, and scaling. It is designed to help owners build an operating loop, not just deploy software.
A focused set of leading and lagging indicators to evaluate whether signals are actually turning into value. This section covers metrics like work conversion, energy impact, occupant complaints, repeat failures, and longer-term operating improvements.
An overview of the major cost categories involved in a CBM program, along with the ROI drivers owners most commonly use to justify it. This section covers where value typically shows up first and where benefits are real but harder to quantify.
The core functions are typically needed for CBM to work in practice. This section outlines the roles of facilities, energy, OT, IT, service providers, and finance as the program moves from pilot to broader adoption.
The core technology stack that supports the playbook, from device-layer signals and FDD platforms to CMMS, data layers, service providers, and master systems integrators. It is meant to clarify what parts of the market support each part of the CBM workflow.
The practical decisions that shape how a CBM program works in the real world. This section covers outsourced vs. in-house maintenance, alarms vs. faults, CMMS integration, standalone FDD, where AI fits, and how similar workflows can support commissioning.
A five-level framework for understanding how mature a CBM program really is, from reactive maintenance with minimal signal use to portfolio-level optimization with continuous tuning and contract alignment to results. It helps owners assess where they are and what the next stage looks like.
