Maintenance teams generate more data than most executives ever see — and most of what gets reported upward is too late, too vague, or too disconnected from production impact to drive real decisions. OxMaint turns raw maintenance activity into leadership-ready reliability intelligence, so the numbers in your next review meeting actually reflect what's happening on the floor. Start your free OxMaint trial and run your first executive reliability report in under an hour.
Analytics & Reporting · CMMS · Executive Reliability
AI Maintenance Analytics Built for Leadership Review Cycles
Stop assembling reliability decks from five different spreadsheets the night before a board review. OxMaint surfaces MTTR, MTBF, PM compliance rates, and cost-per-asset trends automatically — formatted for the decision-makers who need them.
Reliability Dashboard — Live View
94%
PM Compliance Rate
2.1h
Avg MTTR This Month
312h
Avg MTBF — Line A
18%
Cost Reduction YTD
The Gap Leaders Feel
Why Maintenance Data Rarely Reaches the Right People in the Right Form
Data Exists — Insight Doesn't
Work orders, downtime logs, and labor hours are recorded somewhere. The problem is that translating raw activity data into metrics like OEE impact or cost-per-asset trend requires hours of manual work that most teams simply don't have capacity to do before a leadership meeting.
Reports Built the Night Before
When reliability reports depend on someone exporting CSVs, running pivot tables, and formatting slides, the data is already stale by the time it reaches an executive. Decision-makers are reviewing last month's reality while this week's problems compound unnoticed on the floor.
No Common Language Across Teams
Maintenance teams track in one system, finance in another, and operations in a third. When these conversations happen without shared data, budget decisions get made on gut feel rather than demonstrated reliability performance — and maintenance always loses that argument.
Key Reliability Metrics
The Six Metrics Every Reliability Review Should Include — and What They Actually Mean
| Metric | What It Measures | Industry Benchmark | OxMaint Tracks It |
|---|---|---|---|
| MTTR | Average time from failure detection to restored operation | World-class: under 2 hours for critical assets | Automatic |
| MTBF | Average operating time between failures per asset | Varies by asset class — trended improvement matters most | Automatic |
| PM Compliance | Percentage of scheduled PMs completed on time | World-class: above 90% | Automatic |
| Wrench Time | Fraction of technician hours spent on direct maintenance work | Industry average: 25–35%. High-performers: 50%+ | Automatic |
| Cost per Asset | Total maintenance spend allocated per asset over a period | Benchmark to internal baseline and depreciation curves | Automatic |
| Backlog Hours | Pending work orders measured in estimated labor hours | Healthy backlog: 2–4 weeks of planned work | Automatic |
OxMaint · Analytics & Reporting · Leadership-Ready
See Your Reliability Numbers — Before Your Next Review Meeting Demands Them
OxMaint pre-builds the reliability reports your leadership team expects. MTTR, MTBF, PM compliance, and cost trends — live, exportable, and ready in seconds instead of overnight.
How OxMaint Works
From Work Order to Executive Dashboard — How OxMaint Closes the Analytics Gap
1
Technicians Log Work in the Field
Every work order closure captures completion time, labor hours, parts used, asset condition, and corrective notes. No separate data entry step — the act of closing the work order is the data capture.
2
OxMaint Calculates KPIs Automatically
MTTR is calculated from the timestamp difference between failure report and work order closure. MTBF is derived from the interval between successive failures on the same asset. PM compliance is the ratio of on-time completions to scheduled tasks — all without manual formulas.
3
Dashboards Update in Real Time
As work orders are completed, dashboards update without anyone pressing refresh. Reliability managers see live KPI movement. Supervisors see technician workload. Executives see the summary metrics they care about — all from the same underlying data, filtered by role.
4
Reports Export in One Click
Filter by site, asset category, department, or date range and export a formatted reliability report with trend lines, exception flagging, and cost summaries. What used to take a reliability engineer four hours takes four minutes — and the result is more complete.
Expert Perspective
What Reliability Engineers Say About Maintenance Analytics Maturity
Organizations that present maintenance performance as a cost center will always struggle for budget. The ones that present it as a production reliability function — with data showing MTBF trends, PM compliance rates, and avoided downtime cost — consistently win capital investment for their programs. The analytics capability is what creates the credibility.
25%
Average maintenance cost reduction when organizations move from reactive to data-driven PM programs
3.5×
ROI on CMMS implementation reported in facilities with consistent analytics use over 24 months
40%
Reduction in unplanned downtime events in plants using predictive analytics layered on top of PM compliance data
Frequently Asked Questions
AI Maintenance Analytics — Common Questions
What maintenance KPIs does OxMaint calculate automatically?
OxMaint automatically tracks and surfaces MTTR, MTBF, PM compliance rate, technician wrench time, work order backlog in labor hours, and maintenance cost per asset. Each metric is calculated from work order and asset data entered by your team during normal operations — no separate data input or formula maintenance required. Explore the full analytics dashboard in a free trial.
Can OxMaint produce reports formatted for executive or leadership review?
Yes. OxMaint's reporting module lets you filter by site, asset category, department, or date range and export a reliability summary that includes trend charts, exception flags, and cost breakdowns. The output is designed to be readable by non-technical stakeholders while remaining grounded in the detailed data that reliability engineers need for follow-up analysis. See a live export in a 30-minute demo.
How is OxMaint's analytics different from a spreadsheet-based reliability tracker?
A spreadsheet requires someone to manually collect data, run calculations, and build charts before every reporting cycle — and that process introduces errors and delays. OxMaint calculates KPIs continuously as work orders are completed, so dashboards are always current. The system also maintains a full history per asset, enabling trend analysis that spreadsheets cannot support without significant manual curation.
Does OxMaint support multi-site reliability reporting?
Yes. Multi-site organizations can view reliability metrics for individual facilities or roll them up into a consolidated view. This allows reliability managers to benchmark performance across plants, identify which sites have the strongest PM compliance, and direct improvement resources where the data shows the greatest gap. Start a free trial to configure your site structure.
OxMaint · Real-Time Analytics · No IT Setup Required
Your Next Reliability Review Deserves Better Than a Last-Minute Spreadsheet
OxMaint keeps your MTTR, MTBF, PM compliance, and cost data current and presentation-ready at all times. Go live in days, not months. No IT project required.
