Asset Reliability Insights
Turning frontline intelligence into risk-based decisions
Every asset has a performance history recorded by their carers in work logs, but this information is rarely used in a structured way to understand performance, identify risks and make informed decisions. Asset Reliability Insights is here to help.
Problem
Maintenance management systems contain extensive history, but fragmented work records and inconsistencies make extracting reliable engineering insights difficult and impractical at scale.
Consequence
Decisions are made without equipment carer’s feedback left in work records, resulting in missed opportunities, hidden risks, wastage and even incidents.
Solution
Transform work logs into a structured, consistent, auditable asset life story, to better understand performance, verify reliability assumptions, identify bad actors, evaluate maintenance effectiveness and support ageing equipment renewal decisions.
Founded by Wojtek Majewski, whose 20+ years of experience across the full spectrum of maintenance & reliability engineering (and 100k+ logs analysed) have shaped a practical, no‑nonsense, engineering-grounded approach to transforming messy field maintenance records into value for assets and people.
What ARI does
Combines engineering expertise with data science and language model assistance to consistently interpret and reconstruct lifecycle insights from fragmented historical work records.
- Uses technician observations as the primary source
- Links failure events across work orders
- Converts free-text logs into codified failure events
- Applies consistent classification across full operating life
- Eliminates analyst errors in interpretation of complex logs
- Maintains traceability back to original records
What’s the Outcome
Understanding of asset performance, based on actual field observations, enabling better decisions to achieve business goals.
- Plain language failure and repair events timeline
- ISO 14224 coded failure data compatible with OREDA
- Quantified failure rates, MTTR, Reliability, PFDavg, Scenario modelling
- Identification of recurring failure mechanisms, bad actors and causes
- Insight into PM effectiveness and asset ageing
- Reusable dataset for ongoing / periodic analysis, which can be easily used in your own way, plugged into your existing dashboards, or even imported back to CMMS
Informed Decisions
Applications – When to use
Validate Assumptions
- Validate (and monitor) major hazard barrier performance, support technical assurance with field evidence
- Verify reliability assumptions used in QRA / SECE Performance Standards, demonstrate compliance with the Safety Case regulation
- Demonstrate compliance with Functional Safety standard IEC 61511, replace generic with field data in SIL verification / as part of SIF performance assessment
- Demonstrate Class requirements are met
- Use true equipment performance in RAM models
Support Ageing Equipment Renewal
- Get ageing indicators, understand wear-out risks
- Plan / budget restoration based on evidence and risk
Identify Bad Actors
- Uncover repeat failures and causes
- Develop effective mitigations
- Population of same equipment type or related mixed
Optimise Preventative Maintenance
- Evaluate maintenance strategy effectiveness at failure mode and cause level, before and after strategy change
- Align effort with actual failures, redirect resources effectively
OREDA
- Share failure data in OREDA / ISO 14224 format
Same equipment type populations
- Shutdown, blowdown valves
- Deluge valves
- Fire dampers
- Fire & Gas detection devices
- Pushbuttons and switches
- Process instrumentation
- Control valves
- Rotating equipment
- Electrical equipment
Mixed equipment types
- Entire systems
- Smaller packages, e.g. air compressors
- Bigger packages, e.g. power generation sets or diesel driven fire pumps
- Various populations of critical equipment
Impact on Business Goals – Benefits
Assurance of meeting standards, validation of assumptions, risk reduction, unnecessary PM hours elimination, risk-based PM adjustments, vulnerabilities prioritisation, prevention of breakdowns due to wear out, benchmarking.
Safety & Environment
- Validation of assumptions for quantitative risk assessment
- Confidence that safety functions perform as assumed
- Early identification of hidden degradation and recurring failure modes
- Strong position during audits and regulatory reviews
Production & Availability
- Reduced unplanned downtime through targeted intervention, critical aging equipment renewal
- Faster identification of failure patterns impacting operations
- Improved availability based on actual repair performance (MTTR)
Maintenance & Cost
- Improve PM effectiveness
- Avoid over/under-maintenance by aligning PM with real failure behaviour
- Focus effort on assets that actually drive failures (bad actors)
- Better allocation of maintenance resources and spares
Planning & Investment
- Support decisions on PM frequency and maintenance strategy
- Identify ageing assets and renewal priorities
- Enable data-driven budgeting based on observed performance trends
Get insights from Your People’s knowledge
Why ARI is different?
This is not a typical consultancy, big project, high expenditure, or a multi-week arrangement taking up your time.
Not another AI platform or software package, not more licence fees, overheads or other commitments.
This is a very practical, operationally-focused, targeted engineering service delivering cost-efficient benefits.
Expect easy and fast delivery with the highest quality insights.
How to start?
For example, a pilot to demonstrate value-adding insights using your own work history.
info@assetreliabilityinsights.com
trading name of wjm concepts ltd
Aberdeen, United Kingdom
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