AI in maintenance
mit IBM Maximo

Use your data intelligently and optimize your maintenance sustainably

This is how you transform your maintenance from reactive to predictive

Maintenance organizations are under significant pressure today. Costs are rising, and the complexity of assets is increasing. At the same time, there is an expectation to operate assets reliably and as safely as possible over the long term. All of this makes maintenance a highly complex task.

The reality in many companies today looks like this: documentation is often incomplete or difficult to access, data is scattered across different systems, and data quality is often insufficient for well-founded decisions.

However, fragmented legacy solutions make end-to-end processes more difficult. The shortage of skilled workers and the increasing effort required for onboarding and necessary knowledge transfer further exacerbate the situation.

The result: de­ci­sions are of­ten based on ex­pe­ri­ence rather than re­li­a­ble da­ta. As a re­sult, va­lu­a­ble po­ten­tial re­mains un­used.

This is ex­act­ly where mod­ern AI func­tion­al­i­ties in the IBM Ma­xi­mo Ap­pli­ca­tion Suite come in. They help: to use da­ta in­tel­li­gent­ly. To au­to­mate pro­cess­es. To make well-found­ed de­ci­sions. And all of this di­rect­ly in day-to-day main­te­nance op­e­ra­tions.

The AI func­tion­al­i­ties of the IBM Ma­xi­mo Ap­pli­ca­tion Suite pro­vide op­ti­mal sup­port for main­te­nance teams. The in­te­grat­ed knowl­edge man­age­ment helps them, for ex­am­ple, to iden­ti­fy anom­a­lies at an ear­ly stage, pre­vent fail­ures, and sus­tain­a­bly op­ti­mize their main­te­nance.

We sup­port you from strat­e­gy through to suc­cess­ful im­ple­men­ta­tion.

Would you like to see what this could look like in your main­te­nance in prac­tice?

The mod­ules of the IBM Ma­xi­mo Ap­pli­ca­tion Suite and their AI val­ue-added

These AI func­tion­al­i­ties are of­fered by the mod­ules of IBM Ma­xi­mo

  • Maximo Ap­pli­ca­tion Suite – The ba­sis for in­tel­li­gent main­te­nance
The IBM Ma­xi­mo Ap­pli­ca­tion Suite forms the tech­no­log­i­cal foun­da­tion for the use of AI in main­te­nance. It in­te­grates da­ta from a wide va­ri­e­ty of sources into a cen­tral plat­form — from EAM and ERP sys­tems to IoT and sen­sor da­ta, as well as ex­ter­nal da­ta sources.
In many com­pa­nies, in­for­ma­tion and da­ta are cur­rent­ly spread across dif­fer­ent sys­tems. They are of­ten not avail­able in the re­quired qual­i­ty. This lack of trans­paren­cy and da­ta con­sis­ten­cy pre­vents com­pa­nies from ful­ly lever­ag­ing all ex­ist­ing po­ten­tial in main­te­nance.
The Ap­pli­ca­tion Suite pro­vides a rem­e­dy here. It struc­tures, links, and har­mo­nizes da­ta, mak­ing it us­able for anal­y­sis and AI ap­pli­ca­tions. The re­sult is a con­sis­tent da­ta foun­da­tion that serves as the ba­sis for all fur­ther AI ap­pli­ca­tions.
We sup­port you in es­tab­lish­ing this foun­da­tion. We in­te­grate the Ma­xi­mo Ap­pli­ca­tion Suite into your sys­tem land­scape and de­vel­op a sus­tain­able da­ta strat­e­gy with you.
KI in der Instandhaltung - Reise Zu Predict
What could your fur­ther de­vel­op­ment look like along the ma­tu­ri­ty jour­ney?

  • Man­age – In­tel­li­gent sup­port in day-to-day op­er­a­tions
Manage - KI in der Instandhaltung
Would you like to ex­pe­ri­ence how AI can con­crete­ly sup­port your dai­ly main­te­nance pro­cess­es?

Ma­xi­mo Man­age forms the core of op­er­a­tion­al main­te­nance. New AI func­tion­al­i­ties spe­cif­i­cal­ly en­hance it. Man­age sup­ports us­ers in their dai­ly work. It struc­tures in­for­ma­tion au­to­mat­i­cal­ly, rec­og­niz­es con­nec­tions, and pro­vides con­crete rec­om­men­da­tions for ac­tion.

One ex­am­ple: based on a fault re­port, Man­age au­to­mat­i­cal­ly sug­gests a dam­age code and pro­vides suit­able mea­sures — based on his­tor­i­cal da­ta. The same prin­ci­ple ap­plies to sys­tem queries. Pri­or­i­ti­za­tion of work or­ders is al­so sup­port­ed by in­tel­li­gent analy­ses. This means de­ci­sions no longer have to rely sole­ly on ex­pe­ri­ence.

All ex­ist­ing knowl­edge is sys­tem­at­i­cal­ly cap­tured in Ma­xi­mo. Via chat­bot, it can be ac­cessed by any­one at any time, re­gard­less of the ex­pe­ri­ence lev­el of in­di­vid­u­al em­ploy­ees — a de­ci­sive ad­van­tage in light of the short­age of skilled work­ers and long on­board­ing times.

The re­sult: stan­dard­ized, more ef­fi­cient pro­cess­es and a sig­nif­i­cant­ly high­er qual­i­ty in work or­der ex­e­cu­tion.

  • Mon­i­tor – De­tect anom­a­lies be­fore they be­come a prob­lem

Ma­xi­mo Mon­i­tor en­a­bles the con­tin­u­ous mon­i­tor­ing of as­set con­di­tions. It uses all avail­a­ble IoT and sen­sor da­ta for this pur­pose. AI au­to­mat­i­cal­ly an­a­lyzes this da­ta and iden­ti­fies any de­vi­a­tions from nor­mal con­di­tions at an ear­ly stage.

The in­te­grat­ed anom­a­ly de­tec­tion iden­ti­fies pat­terns and changes in re­al time that in­di­cate po­ten­tial prob­lems. Man­u­al analy­sis is no longer re­quired, as ev­ery rel­e­vant event is au­to­mat­i­cal­ly de­tect­ed and trig­gers a cor­re­spond­ing alert.

In prac­tice, such de­vi­a­tions of­ten go un­no­ticed for a long time and are typ­i­cal­ly only dis­cov­ered once dam­age has al­ready oc­curred. As a re­sult, com­pa­nies tend to act re­ac­tive­ly, lead­ing to high costs and risks.

The con­sol­i­dat­ed da­ta foun­da­tion now be­ing cre­at­ed en­a­bles the use of all ex­ist­ing da­ta. This al­lows you to in­ter­vene at an ear­ly stage, re­duce un­planned down­time, and sus­tain­a­bly in­crease as­set avail­a­bil­i­ty. At the same time, you cre­ate the foun­da­tion for pro­ac­tive main­te­nance.

KI In Der Instandhaltung Screenshot Monitor
Would you like to see live how anom­a­ly de­tec­tion works in your own as­set?

  • Vi­su­al In­spec­tion – Au­to­mat­ed in­spec­tion through im­age analy­sis

Ma­xi­mo Vi­su­al In­spec­tion ex­tends tra­di­tion­al main­te­nance with the au­to­mat­ed analy­sis of im­ages and vid­e­os. AI mod­els an­a­lyze vi­su­al da­ta and re­li­a­bly de­tect de­fects, de­vi­a­tions, or qual­i­ty is­sues.
In prac­tice, vi­su­al in­spec­tions are time-con­sum­ing. They de­pend heav­i­ly on the ex­pe­ri­ence of in­di­vid­u­al em­ploy­ees and are not al­ways con­sis­tent. This is ex­act­ly where Vi­su­al In­spec­tion comes in. AI takes over the analy­sis and en­sures an ob­jec­tive and re­pro­duc­i­ble eval­u­a­tion. The ma­jor ad­van­tage of this so­lu­tion is that it is scal­a­ble and fast, al­low­ing you to car­ry out in­spec­tions much more ef­fi­cient­ly while im­prov­ing qual­i­ty.
A typ­i­cal use case is the iden­ti­fi­ca­tion of dam­age or com­po­nents di­rect­ly from a pho­to. For ex­am­ple, de­fects can be clas­si­fied or suit­a­ble spare parts iden­ti­fied. This speeds up your pro­cess­es and re­duces er­rors.
We com­bine Vi­su­al In­spec­tion with mo­bile so­lu­tions and aug­ment­ed re­al­i­ty ap­proach­es. In this way, we cre­ate end-to-end dig­i­tal as­sis­tance sys­tems that op­ti­mal­ly sup­port your tech­ni­cians on site.

KI in der Instandhaltung - visuelle Inspektion
See live how anom­a­ly de­tec­tion works in your own as­set?

  • Health – Trans­paren­cy on the ac­tu­al con­di­tion of your as­sets
KI In Der Instandhaltung Screenshot Predict
Would you like to cre­ate trans­paren­cy across your crit­i­cal as­sets?
Ma­xi­mo Health eval­u­ates and vi­su­al­iz­es the con­di­tion of your as­sets con­tin­u­ous­ly and clear­ly. It au­to­mat­i­cal­ly cal­cu­lates con­di­tion and risk in­di­ca­tors based on a wide range of da­ta sources, in­clud­ing his­tor­i­cal in­for­ma­tion and cur­rent op­er­a­tion­al da­ta. The re­sult is a com­pre­hen­sive “health sta­tus” of your as­sets — a ho­lis­tic view that not only re­flects the cur­rent con­di­tion but al­so makes po­ten­tial risks vis­i­ble at an ear­ly stage.

Es­pe­cial­ly in es­tab­lished main­te­nance struc­tures, trans­paren­cy is of­ten lack­ing: Which as­sets are ac­tu­al­ly crit­i­cal? Where is spe­cif­ic ac­tion re­quired? As a re­sult, de­ci­sions are fre­quent­ly based on ex­pe­ri­ence or iso­lat­ed in­for­ma­tion, mak­ing pri­or­i­ti­za­tion dif­fi­cult and in­vest­ments un­cer­tain.

Ma­xi­mo Health pro­vides a rem­e­dy. It ob­jec­tive­ly eval­u­ates and pri­or­i­tizes your as­sets, giv­ing you a clear ba­sis for de­ci­sion-mak­ing in your main­te­nance strat­e­gy: fo­cus your ac­tions where they de­liv­er the great­est val­ue.

  • Pre­dict – Pre­dic­tive main­te­nance with AI

Ma­xi­mo Pre­dict takes your main­te­nance to the next lev­el. It uses ma­chine learn­ing mod­els to iden­ti­fy fail­ures at an ear­ly stage and de­ter­mine op­ti­mal main­te­nance tim­ing. AI rec­og­niz­es pat­terns and re­la­tion­ships that in­di­cate im­pend­ing faults and cal­cu­lates spe­cif­ic fail­ure prob­a­bil­i­ties — us­ing both his­tor­i­cal da­ta and on­go­ing op­er­a­tion­al in­for­ma­tion.

Many com­pa­nies still rely on fixed main­te­nance in­ter­vals or only re­act when fail­ures oc­cur. The re­sult: un­nec­es­sary main­te­nance ac­tions or un­planned down­time and high costs. This is where Pre­dict comes in — en­a­bling con­di­tion-based and da­ta-dri­ven main­te­nance plan­ning.

The re­sult: sig­nif­i­cant­ly high­er as­set avail­a­bil­i­ty and op­ti­mized main­te­nance costs. Tech­ni­cians per­form ac­tions ex­act­ly when they are ac­tu­al­ly re­quired — not too ear­ly and not too late.

How­ev­er, the qual­i­ty of the pre­dic­tions de­pends heav­i­ly on your da­ta foun­da­tion. We sup­port you in build­ing and op­ti­miz­ing your da­ta so that Pre­dict can un­fold its full po­ten­tial.

KI In Der Instandhaltung Screenshot Predict
Would you like to find out which use cas­es can de­liv­er quick wins for you?

AI in main­te­nance – Chal­len­ges vs. AI val­ue-added

The in­di­vid­u­al mod­ules ad­dress dif­fer­ent chal­len­ges in main­te­nance. The Ma­xi­mo Ap­pli­ca­tion Suite com­bines these var­i­ous AI func­tion­al­i­ties and pro­vides end-to-end val­ue — from the da­ta foun­da­tion and analy­sis through to au­to­mat­ed de­ci­sion sup­port.

Dai­ly chal­len­ges in main­te­nance

  • Miss­ing or in­com­plete doc­u­men­ta­tion
  • Da­ta qual­i­ty
  • Si­lo so­lu­tions as well as miss­ing or in­suf­fi­cient in­te­gra­tion
  • Short­age of skilled work­ers
  • On­board­ing times
  • Re­ac­tive main­te­nance
  • Cost pres­sure

Your ben­e­fits from AI func­tion­al­i­ties

  • Au­to­mat­ic da­ta analy­sis and da­ta en­rich­ment
  • Con­tin­u­ous im­prove­ment, in­clud­ing from un­struc­tured da­ta
  • Plat­form in­te­gra­tion in the Ap­pli­ca­tion Suite
  • AI-sup­port­ed as­sis­tance and knowl­edge pro­vi­sion via chat­bots
  • Re­duc­tion of on­board­ing times through in­tel­li­gent sug­ges­tions
  • Anom­a­ly de­tec­tion and pre­dic­tive main­te­nance
  • Op­ti­mized main­te­nance and re­duced down­time

Your next step: Le­ver­age the po­ten­tial of AI in a con­crete way

The in­tro­duc­tion of AI in main­te­nance is not an end in it­self — what mat­ters is the tan­gi­ble val­ue it de­liv­ers for your pro­cess­es and your busi­ness suc­cess.

We sup­port you ho­lis­ti­cal­ly: we an­a­lyze your cur­rent sit­u­a­tion, se­lect and im­ple­ment the right AI mod­ules, and in­te­grate them into your ex­ist­ing sys­tem land­scape.

As a long-stand­ing IBM Ma­xi­mo part­ner, we help you un­lock the po­ten­tial of AI in a tar­get­ed way — from strat­e­gy through to im­ple­men­ta­tion. To­geth­er, we iden­ti­fy spe­cif­ic use cas­es for your com­pa­ny to quick­ly achieve ini­tial quick wins.

In­ter­est­ed in a demo ap­point­ment with a live ex­pe­ri­ence?

AI in main­te­nance – da­ta qual­i­ty, struc­ture, and ap­pli­ca­tion prox­im­i­ty as the ba­sis for your real val­ue

Ar­ti­fi­cial in­tel­li­gence is con­sid­ered a key le­ver for many com­pa­nies: for more ef­fi­cient main­te­nance, few­er down­times, and bet­ter plan­ning. In prac­tice, how­ev­er, many pro­jects fail — not be­cause of the tech­nol­o­gy, but due to miss­ing pre­req­ui­sites with­in the com­pa­ny.

Do­men­i­co Car­a­pez­za (Head of Sales & Busi­ness De­vel­op­ment, SPIE RO­DI­AS GmbH) speaks with Hol­ger Wink­ler about this. (#KIundTECH Pod­cast)

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SPIE RO­DI­AS – Gold part­ner and long-stand­ing ex­pert for IBM Ma­xi­mo

Goldpaertner der IBM - SPIE RODIAS
As an IT con­sult­ing com­pa­ny, we spe­cial­ize in the de­sign and im­ple­men­ta­tion of dig­i­tal so­lu­tions for main­te­nance, as­set man­age­ment, op­er­a­tions, and de­com­mis­sion­ing.
We sup­port you in achiev­ing your goals in the field of In­dus­try 4.0. Spe­cif­i­cal­ly, we help you with: Con­di­tion Mon­i­tor­ing and Pre­dic­tive Main­te­nance, as well as the dig­i­tal trans­for­ma­tion of op­er­a­tions man­age­ment, main­te­nance, af­ter­sales ser­vices, and the de­com­mis­sion­ing of com­plex as­sets. We are also hap­py to pro­vide man­aged ser­vices for your IBM Ma­xi­mo and MAS ap­pli­ca­tion.
SPIE RO­DI­AS is a cer­ti­fied IBM Gold Part­ner. We are a long-stand­ing ex­pert in the use of IBM Ma­xi­mo for en­ter­prise as­set man­age­ment for our cus­tom­ers.
Would you like to ben­e­fit from our ex­pe­ri­ence? Then sched­ule a prod­uct tour ap­point­ment now.