We turn your plant data into maintenance strategy — combining functional engineering expertise with AI-driven predictive systems to eliminate unplanned failures before they happen.
Three focused disciplines. Deployed together or independently — wherever your maintenance program needs the most leverage.
From paper-based or Excel-driven maintenance records to a fully operational CMMS. We structure your asset registry, define work order workflows, and migrate historical data — making your maintenance program auditable and scalable.
We design and optimise preventive maintenance programs grounded in failure mode analysis and equipment criticality. Your teams execute the right task, on the right asset, at the right interval — no more, no less.
We connect condition monitoring data — vibration, temperature, oil analysis — with AI models that identify degradation patterns early. Failures are predicted weeks in advance. Interventions are planned, not reactive.
Systematic by design. Every engagement follows the same three-phase discipline — from raw data to operating results.
We audit your current maintenance program, data infrastructure, and asset criticality. We identify the gaps between your current state and what best practice looks like for your plant type and failure modes.
We design the system — CMMS architecture, PM task libraries, monitoring protocols, and the data pipelines that feed your predictive models. Everything is documented, trainable, and owned by your team.
We implement, train, and hand over — with monitoring dashboards running live and predictive models actively alerting your team. You measure the outcome in unplanned downtime hours, not consulting deliverables.
Most maintenance consultants understand process or technology — rarely both. AAI Maquine was built from the ground up as a functional-AI partnership. Your reliability engineer and your data scientist are the same engagement.
We take a limited number of engagements at a time. When you work with AAI Maquine, you work with the founders — not a project manager screening your calls. Your plant gets our full technical attention.
We define success in operational terms — unplanned downtime reduction, MTBF improvement, maintenance cost per unit. Our recommendations are always tied to measurable outcomes, not activity metrics.
We don't build black boxes. Every system, model, and process we design is documented and transferred. Your team can operate, maintain, and extend the program after we leave. That is the measure of a successful engagement.
Industrial plant maintenance specialist with hands-on experience across CMMS implementation, preventive maintenance program design, and reliability engineering. Translates maintenance theory into operational reality.
Industrial plant maintenance specialist with 30+ years experience in SAP. Specialized in advanced maintenance and inspection processes
AI and data engineering specialist focused on industrial time-series data. Builds the predictive models, monitoring pipelines, and dashboards that turn raw sensor data into advance warning of equipment failure.
A 30-minute discovery call is enough to understand your current program, identify the highest-leverage opportunity, and tell you exactly how we can help.