ROI and Value Metrics
The ROI panel shows the return on investment from Rela AI in concrete numbers: money saved, production hours recovered, repair time reduction, and the overall health of the maintenance operation.
ROI and Value Metrics
The operations director asks: "How much is the system saving us?" The ROI panel gives the answer with real numbers calculated from completed tasks, executed maintenance plans, and the plant's failure history. This is not a theoretical estimate — it is a calculation using your operation's actual data.
What is it for?
ROI is the tool for demonstrating the platform's value to management and leadership. It also helps identify which maintenance actions are generating the most value and which can be optimized.
The ROI panel allows you to:
- Demonstrate with numbers the financial impact of preventive versus corrective maintenance
- Measure whether repair time is improving month over month
- Calculate how many production hours were recovered by avoiding failures
- Generate a monthly executive report ready to present to leadership
- Identify the assets with the highest maintenance cost impact
How does it work?
The system automatically calculates metrics from the history of tasks, maintenance plans, alarms, and response times recorded in the platform. The calculations use the operational costs the administrator configured for each asset — cost per hour of downtime, average corrective repair cost, man-hour cost per department.
If no specific costs are configured, the system uses industry averages as a reference. The panel updates daily with the previous day's data.
How to use it?
View the ROI panel
Go to Dashboard > ROI to see the executive summary. The panel shows four main metrics:
| Metric | What it indicates | How to interpret it |
|---|---|---|
| Estimated savings | Money saved by preventing corrective failures with preventive maintenance | "If this month 3 corrective failures averaging $4,200 each were avoided, the savings is ~$12,600" |
| MTTR reduction | Improvement in average repair time compared to the previous month | An MTTR of 2.4 hours vs. 3.8 hours historical = 37% improvement |
| Production hours recovered | Hours the plant operated normally because a shutdown was avoided | Each recovered production hour has the value of what the plant produces |
| Total ROI | Return on platform investment as a percentage | An ROI of 280% means that for every dollar the platform costs, it generated $2.80 in value |
Interpret MTTR (Mean Time to Repair)
MTTR is the most direct indicator of the maintenance team's response speed — how many hours it takes on average from when a failure is detected until the equipment is back in operation.
The panel shows:
- Current MTTR: the average for repairs this month
- Historical MTTR (last 12 months): the improvement or deterioration trend
- MTTR by asset: which assets take the longest to repair
- MTTR by department: which team of technicians responds fastest
A configurable target line allows you to visualize whether the current MTTR is above or below the goal.
Review estimated savings by category
| Savings type | How it is calculated |
|---|---|
| Avoided corrective | Number of preventive plans executed × failure probability × average corrective failure cost |
| Avoided downtime | Shutdown hours that would have occurred without preventive maintenance × hourly production value |
| Operational efficiency | Man-hours saved through automation of reports, assignments, and task follow-up |
View the operation's Health Score
The Health Score is a 0-100 rating of the overall state of the maintenance operation — not of a specific asset, but of the entire maintenance area:
| Component | Weight | What it measures |
|---|---|---|
| Preventive plan compliance | 30% | Percentage of plans executed on time |
| MTTR | 25% | How quickly equipment is repaired |
| Alarm resolution | 20% | How quickly alarms are addressed |
| Equipment availability | 15% | Percentage of critical equipment that is operational |
| Overdue tasks | 10% | How many tasks are past their deadline |
| Range | Rating | What it indicates |
|---|---|---|
| 80-100 | Excellent | The operation is running optimally |
| 60-79 | Good | Good performance with identified areas for improvement |
| 40-59 | Fair | There are significant gaps impacting reliability |
| 0-39 | Critical | The maintenance operation needs immediate intervention |
Export the executive report
From the ROI panel, click Export to download:
- PDF: executive report with trend charts ready to present to leadership
- CSV: data in tabular format for analysis in Excel
Key benefits
- Concrete numbers on the financial impact of preventive maintenance
- Monthly MTTR trend to measure the team's continuous improvement
- Health Score of the complete operation in a single metric
- PDF executive report with charts generated in one click
- Automated calculations based on real platform data
- MTTR comparison by asset to prioritize improvement investments
Common use cases
Scenario 1: Justify investment in preventive maintenance The maintenance manager needs to justify to leadership the budget for next year's preventive maintenance program. They open the ROI panel, filter the last 12 months, and obtain: estimated savings from avoided corrective work of $284,000, MTTR reduction of 34%, and 1,860 production hours recovered. They export the PDF report with that data and present it at the budget meeting. The numbers support the request without needing to build the analysis manually.
Scenario 2: Monthly implementation impact review At the start of each month, the coordinator reviews the previous month's Health Score. In January it was 73 (Good). In February it dropped to 61 due to non-compliance with preventive plans in the compressors area. In March the team prioritized those delayed plans and the Health Score rose to 79. The panel shows which specific component improved (plan compliance) and confirms that the corrective actions worked.
Scenario 3: Identify high-cost assets The MTTR breakdown by asset shows that turbine T-01 has an MTTR of 18.4 hours — 4 times the plant average. The reliability engineer investigates and finds that every time it fails, the spare part takes 12 hours to arrive from the supplier. The solution: maintain stock of the critical part. The following month, the turbine's MTTR drops to 6.2 hours. The ROI of stocking that part is calculated directly in the panel.
Setup Wizard
The wizard guides the first steps in Rela AI in 7 stages: from registering the organization and equipment to configuring the first AI agent and the first maintenance plan.
Main Dashboard
Central operations view with real-time KPIs, trends, active alarms, and quick access to your industrial assets.