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.

Our approach: technology, organisation and results in coherence

1. Stabilise – control reliability

Together with the organisation we create insight, restore basic conditions and build steerability. This includes, among other things:

  • Criticality analysis of assets, including an inventory of technical condition
  • Transparent prioritisation based on operational impact
  • Setting up proper data registration and reporting structure
  • Establishing an effective meeting structure (shift, day, week first)
  • Identification of loss sources and elimination of recurring failure mechanisms
  • Developing better collaboration between departments
  • Restoring a sufficient technical baseline condition

Effect: higher availability, less variation, directly visible result in OEE.

2. Improve structurally – control life-cycle costs

Not more maintenance, but smarter maintenance. Here the focus shifts from firefighting to controlling life-cycle costs. We work on:

  • Optimisation of maintenance intervals
  • Improvement of standard work and task content
  • Improving the organisation with clear roles and responsibilities
  • Further development of ownership of the changes and the results
  • Implementing a complete Asset Performance Management system (APM)
    • An APM includes:
      • Clear KPI structure between board, Operations and Maintenance
      • Unambiguous governance and decision-making
  • Integration of safety and compliance into reliability choices
  • Data-driven performance reviews

Effect: lower life-cycle costs without increased risk.

3. Embed – performance that lasts

Technical improvements only deliver value when they are embedded. Embedding is not an end phase of the programme, but a continuous process that starts on day one.

This requires:

  • Organisational alignment, driven from the top
  • An operating model that aligns with the business strategy
    • By operating model we mean:
      • The coherence between business processes, KPIs, organisational structure, roles & responsibilities, and the meeting and reporting structures through which performance is steered.
  • Ownership of the changes and the results at all levels of the organisation
  • Training and development of leadership and teams
  • A culture that actively identifies and removes performance obstacles

Effect: predictable performance and an organisation that continues to improve independently.

4. Accelerate with digital – technology as a lever, not a goal

Digitalisation accelerates processes, increases transparency and enables data-driven decision-making. But technology in itself does not create value. Without a clear strategy, clear performance goals and a well-designed operating model, digitalisation remains a standalone IT project.

The central question therefore is:

Which maintenance and performance problems do we want to solve — and how does digitalisation contribute to EBITDA?

Within Smart Maintenance, digitalisation influences three value drivers:

  1. Productivity – less downtime, higher asset utilisation
  2. Capital efficiency – better planning, lower inventories, fewer emergency investments
  3. Decision quality – faster and better substantiated choices

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.

Related cases

Best Turn Around Ever!

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.