ARaaS® · Asset Reliability as a Service

Your asset data
is already there.
We help you act on it.

Most organisations already have the data — CMMS records, condition monitoring feeds, maintenance histories going back years. ARaaS® is Optimal's structured framework for turning that data into reliable, measurable performance. Not a system sale. A strategic partnership.

Mining
15%
Average asset availability uplift — multi-site reliability programme, global mining group
Nuclear · UK
£14m
Inventory identified for disposal in year one — nuclear decommissioning operator
Oil & Gas · North Sea
92→98%
Turbine availability target set — 40 vulnerabilities addressed, offshore operator
ISO 55001 aligned
RCM-based delivery
24+ global clients
Oil & Gas · Mining · Nuclear · Utilities

"The challenge is rarely the absence of data — it is turning that data into structured decisions that consistently improve asset performance."

The ARaaS® Principle
The Challenge

Why asset performance
management matters

Asset-intensive organisations — whether in oil & gas, mining, utilities or manufacturing — typically have more data than they know what to do with. They have CMMS systems, condition monitoring equipment, maintenance histories going back years.

And yet many still face recurring failures, rising maintenance spend, and limited confidence in what their assets will do tomorrow. The gap is almost never data collection. The gap is structured reliability management — the processes, frameworks and discipline that turn raw operational data into better decisions, earlier interventions, and more predictable performance.

Organisations that close that gap achieve significant, measurable improvements — not through capital expenditure on new systems, but through a more structured approach to the assets they already operate.

10–20%
Reduction in maintenance costs — proactive maintenance replacing reactive firefighting
20–50%
Reduction in unplanned downtime — early detection, condition monitoring and defect elimination
+15%
Asset availability uplift — sustained through continuous optimisation, not one-off studies
+50%
Demonstrated ROI on ARaaS® programmes — measured across live client engagements
500%
MTTR improvement via structured RDS-PP asset coding and CMMS alignment
Reliability engineers reviewing asset maintenance strategy data
The Solution

What is ARaaS®?

ARaaS® (Asset Reliability as a Service) is Optimal's structured service model for delivering Asset Performance Management. It combines reliability engineering, data-driven insight, and continuous optimisation to improve asset availability, production stability, and lifecycle value.

Rather than adding new systems on top of existing complexity, ARaaS® strengthens the reliability backbone that already exists within your organisation — connecting your CMMS, condition monitoring data, maintenance teams, and operational decisions into a coherent, continuously improving system.

ARaaS® is not a one-off project. The model is designed to evolve with your assets, compounding reliability improvements year on year.

ISO 55001 aligned framework
RCM-based reliability strategy development
Shared-risk OpEx model
Continuous optimisation cycle, not a project
Instant access to specialist expertise
ISO 55001 RCM-Based OpEx Model Shared Risk GFMAM Aligned
The Business Model

Buying outcomes,
not just tools

The traditional approach asks clients to absorb all the risk. ARaaS® is built differently — shared risk, compounding returns.

Traditional Approach
CapEx Model
Focus
Buying software — EAM, CMMS, APM tools. Implementation as a one-off project.
Risk
Client owns all risk and implementation responsibility.
Speed
Steep learning curve. Slow time-to-value. High internal resource burden.
Model
Short-term, project-based engagement. No continuity.
Output
Licences, implementation, training — uncertain ROI.
vs
ARaaS® Model
Servitisation — OpEx
Focus
Strategic partnership and measurable operational outcomes.
Risk
Shared — Optimal is invested in your success, not just your purchase.
Speed
Instant access to expertise and proven reliability frameworks.
Model
Recurring engine of optimisation. Compounding returns over time.
Output
Asset data management, spares strategy and sustained reliability improvement.
Five Phases · Designed to Repeat

From reactive repairs
to a proactive
reliability culture

ARaaS® is a continuous five-phase cycle — Strategise, Deploy, Monitor, Optimise, Repeat. Built on your existing CMMS, condition monitoring data and maintenance processes, it connects operational decisions into a coherent, continuously improving system. Each cycle draws on stronger data, more capable teams, and a progressively optimised asset base.

Phase 1 · Strategise — asset criticality, RCM, failure mode analysis, maintenance strategy
Phase 2 · Deploy — CMMS structure, maintenance plans, condition monitoring integration
Phase 3 · Monitor — KPIs, degradation trends, operational risk visibility
Phase 4 · Optimise — defect elimination, spares alignment, RCA at source
Phase 5 · Repeat — annual review, benchmarking, compounding reliability gains
The ARaaS® Operating Model

A structured cycle
of continuous improvement

Five integrated phases — designed to repeat. The compounding effect is what distinguishes high-performing organisations from the rest.

01
Strategise
02
Deploy
03
Monitor
04
Optimise
05
Repeat
Phase One
Strategise

The process begins by understanding your assets, your risk profile, and your business priorities. Maintenance effort should be concentrated where it genuinely matters — on equipment that affects production, safety, and operational continuity. This phase ensures that everything that follows is built on the right foundation.

Asset criticality assessment Reliability-centred maintenance (RCM) Failure mode analysis (FMEA) Maintenance strategy optimisation Asset hierarchy alignment
Phase Two
Deploy

A strategy only creates value when it becomes part of how your teams work every day. Deployment embeds the reliability framework into your operational systems — CMMS structures, maintenance plans, asset hierarchies, and team workflows — so that structured reliability thinking becomes standard practice, not an initiative.

CMMS / EAM structure optimisation Maintenance plan alignment Condition monitoring integration Workflow improvement Data capture standards
Phase Three
Monitor

You cannot manage what you cannot see. Structured monitoring gives your operations and maintenance teams continuous visibility into how assets are performing and degrading — enabling early intervention before failures become operational disruptions. It also builds the evidence base that makes every future optimisation decision better-informed.

Asset-level reliability KPIs Predictive condition monitoring Degradation trend analysis Maintenance effectiveness indicators Operational risk visibility
Phase Four
Optimise

Assets age. Operating conditions change. Production priorities evolve. What was an appropriate maintenance strategy 18 months ago may not be the right strategy today. This phase uses real operational data to continuously refine the approach — reducing unnecessary maintenance, improving spares alignment, and eliminating recurring defects at their source.

Maintenance interval refinement Defect elimination at source Spares & inventory optimisation Root cause analysis (RCA) Degradation controls review
Phase Five
Repeat

This is what separates ARaaS® from a consultancy project. The cycle repeats — and each time it does, it draws on a richer dataset, a more capable team, and a progressively more reliable asset base. Organisations that embrace this continuous improvement model consistently outperform those that treat reliability as a project to be completed.

Annual strategy review Performance benchmarking Maturity progression tracking Compounding reliability gains
Client Results

Delivered across the
global asset-intensive industry

All case studies
Mining · South Africa
Maintenance Strategy Development & Optimisation — Global Mining Group
15%
Average asset availability uplift across multiple sites through the ARaaS® programme
Multi-site
ARaaS® framework embedded across Diamond, Platinum, Coal & Iron Ore operations
Oil & Gas · North Sea, UK
Gas Turbine RCM Study — Offshore Power Generation
92→98%
Turbine availability target established with structured improvement programme initiated
40
New vulnerabilities identified and mitigated across five gas turbine packages
Nuclear · UK
Materials Management Strategy — Nuclear Decommissioning Facility
£14m
Stock identified for disposal in year one — from a £91M estate, 40% aged over 20 years
20%
Warehousing capacity freed through structured materials management strategy
Holistic Services Portfolio

Five pillars.
One integrated solution.

ARaaS® draws on Optimal's full capability across five integrated delivery pillars — from pre-commissioning readiness and asset accounting through to digital transformation and reliability advisory. Each pillar reinforces the others; together they form a complete programme that can be deployed end-to-end or targeted to your most pressing operational challenges.

01
Operational Readiness
Pre-commissioning assurance
Asset register development
Physical tagging & barcoding
RCM & FMEA studies
RAM & lifecycle analysis
02
Operations & Maintenance
OEE & planned maintenance
Condition-based monitoring
Shutdown management
Root cause analysis (RCA)
03
Digital Engineering
Asset Performance Management
Predictive analytics
Optimal360™ platform
CMMS optimisation
04
Advisory & Optimisation
RCM / FMEA advisory
Work management policy
Reliability Academy training
ISO 55001 readiness
05
Asset Accounting & Governance
FAR development & compliance
GL-to-FAR reconciliation
GRAP / IAS 16 / IFRS accounting
AFS notes & audit support
RUL review & impairment testing
PFMA / MFMA public sector compliance
Digital engineering and asset performance management technology
ARaaS® Toolbox · Shift left of P. Eliminate Defects.

Six tools.
One integrated toolbox.

The ARaaS® Toolbox is the proprietary capability set Optimal deploys within every ARaaS® programme — combining reliability engineering methodology, an extensive RCM-based library, predictive and prescriptive analytics, cost optimisation and field diagnostics. Together they compress the time between detecting a potential failure and preventing it. Shift left of P. Eliminate defects before they reach functional failure.

Strategy Tools · Strategise
Reliability-Centred Maintenance (RCM)
Proactive, risk-based maintenance planning and execution to prevent failures before they start. The analytical engine of every ARaaS® maintenance strategy — failure mode identification, consequence assessment and optimal task selection applied systematically across the asset base.
Strategy Tools · Strategise
Extensive RCM-Based Library
An extensive RCM-based maintainable items library covering asset-intensive industries — accelerating maintenance strategy development without sacrificing rigour. Maintained and continuously expanded from Optimal's global project delivery, enabling faster time-to-strategy for clients in any sector.
Data Tools · Strategise & Monitor
Predictive Analytics
Cross-domain analysis to identify failure patterns and predict future issues. Analyses streamed data from multiple sources — historian, SCADA, CMMS, sensors — using unsupervised methods to automatically draw inferences from data and surface anomalies before they become failures.
Strategy Tools · Deploy & Execute
Prescriptive Maintenance
Data-driven recommendations on the optimal course of action to prevent predicted failures. Goes beyond anomaly detection — prescribing the specific intervention required, at the right time, with the right resource. Integrated with CMMS work order generation and planning workflows.
Strategy Tools · Monitor
Cost-Optimised Strategies
RCM-informed maintenance planning and ROI modelling to ensure maximum value. Balances reliability improvement against maintenance spend — modelling the cost of failure against the cost of prevention to produce strategies that are technically sound and financially justified.
Field Tools · Deploy & Execute
Field Diagnostics
Condition-based assessment and fault signature analysis for on-the-ground truth. Vibration analysis, thermography, oil analysis, ultrasound and motor current diagnostics — deployed on critical assets to validate predictive analytics outputs and capture failure signatures in the field.
Data Tools · Monitor
Digital Twin Simulation
Advanced virtual modelling for asset performance optimisation and what-if analysis. Digital twins of critical systems allow Optimal to simulate failure scenarios, test maintenance strategy changes and optimise intervention timing — before any physical change is made to the asset or its maintenance programme.
Explore ARaaS® Framework
Predictive & Prescriptive Analytics · Within the ARaaS® Toolbox

Four tiers of analytics maturity —
from reactive baseline to prognostic intelligence

Tier 01
Automated Analytics
The Baseline
Standardised reporting on what has already happened.
Analyses streamed data from multiple sources to detect anomalies. Unsupervised — automatically draws inferences from data. Deployed as the foundation layer across all assets in scope.
Reactive
Tier 02
Condition-Based Rules
The Watchdog
Logic-driven alerts that trigger only when specific boundaries are breached.
Captures operator experience for timely intervention — set it and forget it. Rules-based approach for known conditions and workflows. Targets assets with well-understood failure modes.
Prescriptive
Tier 03
Guided Analytics
The Investigation
Interactive tools allowing experts to diagnose the root cause of anomalies.
Targeted for assets with repeatable failure patterns — user configurable. Guides the user in creating anomaly alerts with higher fidelity. Multi-variable analysis with engineering SME input.
Predictive
Tier 04
Advanced Analytics
The Oracle
Predictive modelling and machine learning to forecast future states.
Targeted for the most critical assets. Trained on cleansed data — multi-variable analysis with rigorous, continuously refined models. Provides remaining useful life estimates and intervention windows.
Prognostics
New from Optimal — Free Benchmark

How does your organisation
compare on asset reliability?

GARPI™ — the Global Asset Reliability & Performance Index — is the first independent, ISO 55001–aligned global benchmark of asset performance management. Complete the free survey in six minutes and receive a personalised report across eight reliability maturity dimensions.

01 / 08
Asset Performance Outcomes
02 / 08
Reliability Governance
03 / 08
Maintenance Strategy & Execution
04 / 08
Data & Digital Capability
05 / 08
Lifecycle Value & Financial Alignment
06 / 08
Workforce & Competency
07 / 08
Spares & Materials Management
08 / 08
Strategic Outlook
Next Steps

Ready to improve
asset performance?

If your organisation is dealing with recurring failures, rising maintenance costs, or limited visibility into how assets will perform — we would welcome a conversation. Our team of reliability engineers and asset management specialists works with clients across oil & gas, mining, nuclear, utilities and manufacturing to design ARaaS® programmes that fit your operational reality.

🇬🇧 Optimal — United Kingdom
🇿🇦 Optimal — South Africa
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