Why GUSTY

Built from real maintenance experience.

GUSTY was built from years of working inside maintenance and reliability environments. We experienced firsthand what it means to work with ERP systems that were often implemented decades ago — systems built to register maintenance activities, not to create operational visibility or help teams make faster and better decisions from the data inside them. Yet maintenance teams are still expected to build all operational control, prioritisation and decision-making on top of those same systems. Our focus is not replacing those systems. It is helping maintenance teams get operational visibility, guidance and actionable insights from the data already inside them — without requiring endless searching, manual follow-up and disconnected side systems.

What we see industry wide

  • Maintenance processes not being followed consistently
  • Constant need to chase information across systems
  • Scheduled work not getting executed
  • Scheduling driven by whatever surfaces first instead of real operational priority
  • Open workorders that should have been closed long ago
  • Engineers struggling to get reliable feedback from execution
  • KPI dashboards nobody fully trusts
  • Firefighting culture

We experienced these operational problems ourselves for years. We know what causes them operationally, why they keep repeating, and what needs to change to get maintenance teams back in control. That experience is what GUSTY was built from.

Why these problems keep repeating

In large parts, the maintenance process is usually followed already.

The problem is that most systems do not actively help teams stay in control operationally. If something is not done at the exact moment it should happen, there is no clear signal later that something was missed or never followed up properly. At every site, planners and engineers spend multiple hours per day on operational work that could largely be eliminated, like:

  • too much searching
  • too many ERP transactions
  • constant manual follow-up
  • limited visibility into what is actually happening operationally

GUSTY was built to eliminate unnecessary searching, clicking and manual follow-up by bringing the right operational information directly to planners, engineers and supervisors.

Across both daily operational work to annual recurring activities, teams typically reduce manual effort by 80 to 98%.

How we think about it

The order matters.

First create more operational time and visibility. Then use part of that time to improve feedback loops and operational consistency. That creates better operational data, which allows automation and AI to become increasingly more valuable over time.

  1. Create operational time first

    Maintenance teams spend huge amounts of time on searching, clicking, manual follow-up and reconstructing operational context. The first goal is reducing that manual workload by bringing the right information directly to the people who need it.

  2. Create closed operational feedback loops

    The goal is not just seeing what happened operationally, but understanding why it happened and making sure that feedback reaches the right people again. If planned work was not executed, engineers should understand why. If a workorder appears ready for closure, somebody should confirm whether it actually is. If operational warnings or process deviations are ignored, the reason should become visible instead of disappearing operationally. That continuous operational feedback helps teams improve decisions, improve the process itself and continuously strengthen the automation and AI built on top of it.

  3. Continuously improvement through automation and AI

    Once operational patterns, decisions and feedback become visible consistently, automation and AI can increasingly help teams stay ahead operationally. Not by replacing maintenance professionals, but by surfacing risks earlier, highlighting what is likely to slip, identifying repeating patterns and helping teams make better operational decisions before problems become overdue or reactive.

First reduce manual work. Then improve operational control. Then scale with AI.

Where this fits.

Built for

  • Heavy asset operations — refineries, chemical plants, petrochemical sites, energy generation, mining
  • Maintenance teams working with complex assets and recurring failure patterns
  • Sites where the ERP (SAP PM, IBM Maximo, or similar) is the maintenance system of record
  • Operations where maintenance compliance is reported but rarely controlled

Not built for

  • Sites without an ERP system
  • Building and facilities maintenance environments
  • Organisations looking to replace their ERP system entirely

Where you'll find us.

GUSTY has been featured at Gastech Houston 2024, presented at IIoT World's AI Frontiers (September 2025), and joined Aramco engineers on the STOTME 2025 panel in Dubai — Aging Assets & Reliability Strategies for Proactive Maintenance Before, During and After Turnaround. An unpaid editorial — AI Agents in Maintenance — was published by IIoT World in 2025.

See all on Resources

Talk to us about your operation.

Conversations start with your operation, your ERP environment, and where the team is currently stuck.

Talk to us