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How CxAI in CxPlanner Is Redefining Data Center Commissioning Across All Levels

• Written by Thomas T. Jarloev
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Data center commissioning is complex. As facilities grow bigger and more interconnected, commissioning agents have moved from simply "checking tests" to coordinating systems, vendors, and documentation across multiple data center levels and strict uptime targets.

CxPlanner was built for that reality - and fueled by CxAI. Not to replace the agents, but to support them. CxAI is all the AI features in CxPlanner that handles the repetitive tasks that drag you down: documentation, lookups, summaries, and moving data between systems. You stay in charge - and remain the specialist.

Data Center Commissioning at Scale: Why AI Now Matters

Modern data center commissioning is always structured into multiple levels of testing - from early design checks through component, system, and integrated testing. Each level adds more documents, more stakeholders, and more opportunities for misalignment.

For a commissioning agents, that often means:

  • Rebuilding similar test scripts for each project
  • Copy-pasting content between spreadsheets, PDFs, and emails
  • Searching through drives and folders to find "the latest" version
  • Manually updating status across dozens (or hundreds) of assets

None of that work is where a commissioning agent adds real value. It's exactly the kind of repetitive admin that an AI engine can handle, leaving more time for core commissioning work.

Automation Muscle and Human Expertise in Data Center Commissioning

Skepticism about AI in commissioning is not only common - it's reasonable. The biggest concern many data center commissioning professionals have with AI is reliability: What if it gets something wrong? What if it misses a step?

CxPlanner's own view around CxAI is explicit on this point: AI is a tool, not a replacement. Commissioning is built on human expertise, and AI is there to handle the repetitive work so that expertise can be applied where it matters most.

In practice, that looks like:

  • Human review by the commissioning expert
    CxAI drafts a checklist or test script; the commissioning agent reviews, edits, and approves it before it becomes part of the official project documentation.
  • Traceable changes
    Because everything happens inside CxPlanner, generated content can be versioned and tracked, just like any manually created test.
  • Project-scoped context
    CxAI Agents work with your project's documents and assets. That reduces noise and helps keep outputs grounded in your actual design and requirements.

It's a practical balance: use AI where it's strong (pattern recognition, repetitive structure), and keep humans where they're irreplaceable (judgement, risk assessment, sign-off).

How CxPlanner Brings AI Into Data Center Commissioning

CxPlanner brings AI directly into data center commissioning workflows, instead of adding yet another standalone tool. CxAI sits where your systems, tests, and issues already live, so it supports the way commissioning agents actually work:

  • Generate test scripts and checklists
    With a few clicks, CxAI can draft test scripts and checklists for specific systems or equipment types, based on patterns from real projects. The commissioning agent reviews, adjusts, and signs off.
  • Work at system & test level
    In the System & Test view, CxAI helps populate or update large sets of tests, keeping alignment between systems, components, and levels of testing.
  • Act as a project-aware agent
    Through CxAI Agents, the AI works with your actual project context - documents, asset lists, and checklists - to handle multi-step tasks like drafting a commissioning plan or updating test sets.

The key point: the expert stays in charge. CxAI features doesn't decide what to test or when the facility is ready; it proposes structured drafts, updates, and summaries that the commissioning team reviews and validates.

Adapting to Every Data Center Level (Tier I-IV)

In data centers, people often talk about two different structures. First, there are data center levels (1-5), which describe how testing progresses from factory tests to integrated systems testing and final handover.

Second, there are the Uptime Tiers (Tier I-IV), which describe how resilient and redundant the facility is. Here's how CxPlanner supports both systems with CxAI:

Supporting all data center levels

As you move through the different data center levels - from basic component checks to full integrated systems testing - the volume and complexity of tests grow fast. Early levels deal with many similar component tests, while later stages focus on cross-system behavior and IST scenarios.

CxAI helps by creating consistent test templates across levels, adjusting content to each system type, and keeping scripts in sync when design changes occur. You get a more coherent test library without losing project-specific detail.

Aligning with Tier I-IV reliability goals

Owners and operators often think in Tier I-IV rather than in test levels. Tier III and Tier IV designs demand higher resilience, redundancy, and clear proof that systems behave correctly under failure.

Here, CxAI supports the commissioning agent by structuring and tracking the tests tied to Tier objectives, helping shape integrated test scenarios around uptime and failover, and summarizing progress so risks are visible to stakeholders.

It supports a clear, well-documented demonstration that the commissioning process meets the intended Tier.

The Future of Data Center Commissioning with CxAI

Looking ahead, data center commissioning will only get more complex: more distributed energy resources, more backup strategies, more stakeholders across design, construction, operations, and IT - and more pressure to shorten schedules without risking uptime.

AI on its own doesn't fix that. But an integrated approach like CxAI in CxPlanner can help commissioning teams handle the complexity with more confidence by speeding up ramp-up on new projects, reusing and generating test libraries, improving alignment across data center levels, and making progress easier to understand through clearer summaries and views.

For the commissioning agent, that means spending more time on real commissioning: proving that the data center can perform under real-world conditions, across all levels and failure modes.

Ready to Experience CxAI?

If you're skeptical about AI in commissioning, you're not alone - and it's a sensible position. CxAI features are built to sit alongside the experts, handling documentation and repetitive structure while judgement, approvals, and sign-off stay firmly with the commissioning team.

In practice, that means AI can support work across projects and data center levels without changing who's accountable for the outcome.

If you're curious how this would look in your own projects, you're welcome to book a short walkthrough with our team.

Written by Thomas T. Jarloev

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