Axisto - Smart Maintenance

Smart Maintenance – Maintenance as the foundation for a profitable operation

Reliable assets. Controllable costs. Structural EBITDA impact.

Axisto helps industrial organisations develop maintenance into a strategic pillar underpinning their operational performance — with stable availability, predictable costs and sustainable value creation.

Why is maintenance decisive for profitability of your operation?

Maintenance as hidden value driver

In many organisations, maintenance is still seen as a necessary cost item. In reality, maintenance is one of the largest hidden value drivers within operations.

Maintenance determines:

  • Available production capacity
  • Stability of output and delivery reliability
  • Total life-cycle cost of assets
  • Safety and compliance risks
  • Predictability of budgets
  • Investment certainty of the operation

If you do not structurally control maintenance, you lose margin without it being directly visible.

De impact of unplanned downtime on OEE and EBITDA

Unplanned downtime reduces OEE (Overall Equipment Effectiveness), increases emergency costs, disrupts planning and increases working capital. Variability in performance almost always translates into higher costs and lower EBITDA.

Predictable operations are profitable operations.

Predictability starts with reliable assets and an organisation that can steer accordingly.

What does Smart Maintenance mean at Axisto?

Smart Maintenance is not a technical optimisation programme, nor is it digitalisation in itself.

It is an integrated approach in which:

  • Assets function reliably
  • Costs remain controllable
  • Decision-making is based on facts
  • Teams take ownership
  • Improvements are structurally sustained

What Smart Maintenance delivers in practice:

  • Predictable: fewer surprises and fewer ad hoc interventions
  • Steerable: clear KPIs, governance and prioritisation
  • Value creating: demonstrable contribution to EBITDA

Why is asset reliability dependent on organisational alignment?

Unplanned downtime is rarely only a technical problem.

The causes often lie in:

  • Unclear priorities between Production and Maintenance
  • Key Performance Indicators that work against each other (for example output versus maintenance windows)
  • Insufficient ownership
  • Poor decision-making
  • Data that is not used
  • Leadership that reacts instead of steering

Reliability is therefore not a purely technical issue, but a system issue.

Structural improvement occurs when:

  • Strategy, operations and maintenance are aligned
  • Production and Maintenance steer towards shared goals
  • Roles and responsibilities are clear
  • Meeting and reporting structures are consistent
  • Behaviour matches the desired performance

This is where temporary optimisation turns into sustainable performance.

What is our approach?

Our approach is integrated and pragmatic:

  • Alignment between vision, strategy and operating model
  • Performance management that works in practice
    • Clear KPI structures and accountability, rhythms and meeting structures that accelerate decision-making and steer on data and analyses, predictive analyses and prescriptive analyses.
  • Continuous improvement and ownership
    • We build an improvement culture that is embedded in mindset, roles, routines and skills.
  • Data & digital as an accelerator, not a goal in itself
    • We connect processes and people with data & digital to see faster, decide better and improve structurally, with a focus on adoption and value.
  • We work closely with your teams

Axisto supports the targeted deployment of:

  •  Business Intelligence (transparency and KPI steering)
  • Artificial Intelligence (predictive analyses, failure prediction)
  • Intelligent Automation (RPA, Process Mining, AI agents)

In line with our vision of Industry 4.0, technology is not a “special transformation”, but an accelerator of a learning organisation: Data → insight → better decisions → better performance → new data.

Effect: better decision-making, higher productivity and greater agility — structurally embedded in the operating model.

What makes Axisto different?

Maintenance as a lever for profitability

Many parties optimise Maintenance. Axisto improves the profitability of operations via maintenance as a lever. Therefore:

  • We always work in a concrete performance improvement context
  • We deliver organisational alignment and connect Maintenance with Operations, Supply Chain, Finance and IT
  • We put people at the centre of our programmes
    • Their attitude and behaviour are decisive for asset performance
  • We develop and implement improvements together with the organisation
  • We develop leadership, ownership and digital competencies

We do not deliver reports, but structural performance improvement. A coherent approach that structurally contributes to EBITDA.

What is our impact?

Our programmes lead to:

  • Structurally higher asset availability
  • Lower unplanned downtime
  • Better OEE
  • Lower total cost of ownership
  • Better collaboration between Production and Maintenance
  • Higher predictability of costs and performance

The result is not only technical improvement, but an organisation that has control of its assets and performance.

What are typical focus areas?

  • Smart Maintenance
  • Maintenance Excellence
  • Reliability Improvement / Asset Reliability
  • Reducing unplanned downtime
  • Improving OEE through Total Productive Maintenance (TPM)
  • Reducing Total Cost of Ownership (TCO)
  • Asset Performance Management (APM)
  • Maintenance governance and KPI structure
  • Predictive Maintenance / AI in maintenance
  • Prescriptive Maintenance
  • Industry 4.0 in Maintenance

Related cases

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A globally operating chemical company saw execution deteriorate its turnarounds. This turn around set a good example.

Restoring trust to improve performance

The company had cut costs heavily in the recession. Now that demand picked up again, things went wrong. A firm intervention put it on track.

Introducing Predictive Maintenance

A maintenance contractor for the railway infrastructure wanted maintenance to be simpler and cheaper. Predictive Maintenance made this possible.