What to do:
- Evaluate existing machinery, sensors, IT infrastructure, availability of OPC-UA, PLC type/supplier, standards and structure of the code.Identify pain points: unplanned downtime, high maintenance costs, low asset visibility.
- Define Dashboards, KPIs: e.g. reduce downtime by 20%, extend equipment life by 15%, etc.
- Consider Digital Maintenance integration (3D/2D documentation, maintenance tutorials, prescriptive maintenance tasks management and scheduling).
Why it matters:
You need a clear problem-solution match and organizational alignment before introducing a new tool.

What to do:
- Choose a small, representative group of machines or a single production line.
- Connect MAINWARE to the available OPC-UA server.
- Involve maintenance teams early to validate real-world usability.
- Choose reasonable amount of 3D/2D documentation to be integrated with PoC
Why it matters:
Minimizes risk and helps build internal proof of concept before scaling up.

What to do:
- Ensure the requirements of MAINWARE integration with your ERP/CMMS (SAP, Infor, Oracle, etc.).
- Evaluate, what is the expectation of integration with MES
- Use APIs or export tools to sync maintenance schedules, spare parts, alerts.
- Align data sources — unify condition data, maintenance history, and work orders.
Why it matters:
Smooth integration means real-time insights actually drive maintenance decisions.

What to do:
- Train maintenance engineers, operators, and managers on the tool’s dashboards and alerts.
- Adjust SOPs: What happens when a vibration alert goes off? Who’s notified?
- Collect feedback and improve configuration (e.g., thresholds, alert types).
- Change management is the key. Involve technicians from the start, show early wins, and create ambassadors inside your team.
Why it matters:
Technology is only as effective as the people who use it. 

What to do:
- Expand deployment plant-wide, focusing on critical equipment first.
- Review dashboards regularly in maintenance meetings.
- Use analytics to optimize preventive maintenance and detect failure patterns.
Why it matters:
The ROI comes from long-term process optimization, not just initial digitization.