At Xempla, we’ve stabilized the core of autonomous maintenance — everything from fault detection and triaging, to coordination and execution. This foundation allows assets to self-manage at scale, reducing downtime and improving reliability.

Now, we’re entering the next phase: enabling engineering managers, compliance managers, and facilities managers to gain greater visibility and control. This is about connecting autonomous maintenance to operations and hard services delivery — helping leaders in facilities management ask sharper questions, track outcomes clearly, and make better strategic decisions.

This month’s updates focus on that goal, powered by our AI-driven agents Lex and Nira.

1. Knowledge Hub & Search (Lex – Reporting & Compliance Agent)

Engineering managers and compliance leaders often struggle to access insights buried in past investigations — like the causes of pump flow failures or how many assets are running in hand mode. The new Knowledge Hub & Search makes all investigations within Xempla searchable and reportable in seconds.

This transforms compliance and reporting into a live intelligence layer for facilities management. Leaders can now generate insights and compliance reports in minutes — what once took hours or wasn’t even possible.

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2. Nira – Planning & Scheduling Agent

Workload planning in operations and maintenance is complex — balancing planned, corrective, and reactive maintenance often leads to backlogs or conflicts with business operations. Nira brings AI-powered planning and prioritization to the workflow. It helps managers reduce maintenance backlog, rebalance workloads, and adjust scheduled maintenance windows when business opportunities require flexibility.

The result is a more adaptive, proactive, and efficient approach to O&M planning, ensuring that facilities teams stay aligned with operational and business needs.

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3. State of O&M Dashboard (Lex – Reporting & Compliance Agent)

In facilities management, O&M leaders often rely on fragmented or delayed data. The new State of O&M Dashboard brings clarity by consolidating both leading indicators (alerts raised, work order generation vs closure, time to resolution) and lagging indicators (% ineffective closures, recurring work orders per asset, actual vs expected energy savings).

For facilities and O&M managers, this means instant oversight of operational performance and outcomes. The value: clear visibility into operations, stronger accountability, and data-driven decision-making in hard services management.

🌍 The Bigger Picture

With these updates, we’re moving beyond asset-level execution to empower O&M and FM leaders with visibility, planning, reporting, and compliance tools.

By combining autonomous maintenance with AI-driven facilities management workflows, Xempla enables organizations to reduce costs, strengthen compliance, optimize energy efficiency, and deliver hard services more effectively.

This month’s focus was dedicated to making autonomous maintenance operationally connected — giving managers the clarity they need to steer operations, while AI systems continue to execute autonomously in the background.

From reducing maintenance backlog to strengthening compliance, these updates are built to deliver outcomes. Get in touch to explore how they can fit your O&M workflows.