Expanding Autonomous Maintenance Beyond Sensors

At Xempla, January marked a key step toward making autonomous maintenance practical at scale.
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While autonomy is often associated with sensor-rich, BMS-connected buildings, most commercial portfolios operate with limited instrumentation. This month, our focus was to extend autonomous maintenance to where the data already exists, while improving execution and planning workflows across locations.

1. Autonomous Maintenance for Non-BMS Assets

The challenge: Most assets lack deep BMS connectivity and are therefore managed reactively, despite having structured planned maintenance data.

What’s new We released support for autonomous maintenance workflows on non-BMS connected assets, using planned maintenance data as the foundation. These assets now follow the same structured execution and outcome tracking processes as BMS-connected systems.

Outcome : FM teams can now include a far larger portion of their asset base in autonomous maintenance programs — without waiting for new sensors.

2. A Unified Execution Experience for Field Teams

The challenge: Fragmented interfaces for planned maintenance, work orders, and condition assessments slow field execution and degrade data quality.

What’s new We introduced a single, consistent interface with:

• Flexible scheduling and conditional logic
• Dynamic condition assessment forms
• A unified experience across all maintenance activities

Outcome: Field teams work faster with less friction, while FM leaders receive more consistent and reliable data.

3. Centralized Visibility for Location-Level Work

The challenge: With QR-based ticketing and routine checklists, planning teams often lack a consolidated view of work across locations.

What’s new We released a centralized, location-level view that brings together:

• All tickets raised at each location
• Checklists and field activities in progress
• Visibility into work buildup and flow over time

Outcome: Planning and scheduling teams can rebalance workloads, identify bottlenecks earlier, and plan more proactively.

The Bigger Picture

January’s releases move Xempla beyond a sensor-first model of autonomy. By combining planned maintenance intelligence, unified field execution, and location-level visibility, we’re laying the foundation for scalable, real-world autonomous maintenance.

What’s Coming in February

February is a milestone month.

• First native deployment in an external platform Xempla will be embedded within an Independent Data Layer / MSI Platform in Singapore.
• Inter-agent collaboration (v1) Agents will begin inferring user intent and coordinating actions automatically.
• Assurance scores at asset and location level Enabling adaptive workflows and a shift toward intelligent hybrid maintenance strategies.

Together, these updates move us closer to an AI-native FM Ops model — where systems don’t just execute work, but actively guide decisions.

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