Industrial process site seen from the outside at dusk

Service · AI opportunity audit

Find where AI creates value in your plants.

We start from your processes and your data. You leave with the priority use cases and a costed action plan.

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Report and costed action plan We document data flows without extracting your data On site or remotely
Your use case in two clicks
Your sector
Your challenge
What the audit brings you

OverviewThe engagementAnalysisMethodDeliverableSectorsPricingFAQ

The essentials

The AI opportunity audit, in clear terms

The AI opportunity audit from Assets 4.0 maps where artificial intelligence creates value in your plants. It scores each use case by value and feasibility. It measures your AI maturity and delivers a costed 12-month roadmap.

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The audit starts from your processes and the data already produced across CMMS, MES, LIMS and files. The constraints to respect, regulatory ones included, feed into the design of every use case. You leave with a costed action plan, in priority order.

The audit addresses executives, operations, IT, quality, finance and administration leaders in food, pharmaceutical and medical manufacturing. The work starts from your existing usage. We document data flows without extracting your data. We are not a certification body and issue no label.

The engagement

An AI opportunity audit, in plain terms

We start from your current processes, data and tools. The audit identifies the AI use cases that are useful for you, then ranks them by priority.

Food · Pharma · Medical

What the audit identifies at your site

The AI use cases that are genuinely useful for your site, ranked by priority.

Who it is for
  • Executives, operations, IT, quality, finance and administration leaders.
  • Food, pharmaceutical and medical manufacturers.
What you get
  • A map of use cases scored by value and feasibility.
  • An AI maturity score.
  • Three to five costed priority cases.
  • A twelve-month roadmap.
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The problem

AI can help everywhere. The question is where to start.

There is no shortage of AI ideas. The real work is sorting the ones that add value, and in what order.

Technician reviewing data on a laptop in a workshop
01 · Ideas

Plenty of leads, little sorting

Every team has its AI ideas. Hard to tell which ones are truly worth the investment.

02 · Data

Data not always ready

Your systems (CMMS, MES, LIMS) hold the essentials. The question is whether that data is enough.

03 · Priorities

No order of march

Without a method to weigh value and feasibility, you invest somewhat at random.

What we cover

What we analyse

Four broad areas, from strategy to the constraints on the ground. The big picture at a glance, the detail one click away.

Machine control station in a production workshop
FROM YOUR REAL SYSTEMS

We start from your existing systems: CMMS, MES, LIMS and the files you already produce.

Strategy & market

Where AI genuinely serves your strategy and priorities.

  • Objectives
  • Challenges
  • Competition
  • Differentiation
  • Priorities
See the detail
  • Strategic context, objectives and challenges.
  • Market, competition and differentiation.
  • Opportunities identified, then uncovered during the audit.
  • Prioritisation by value and effort, roadmap.

Processes & performance

The industrial processes where AI saves time and adds reliability.

  • Production
  • Maintenance
  • Quality
  • Operations
  • Engineering
See the detail
  • Production, maintenance, quality, operations, engineering office, engineering.
  • Everyday friction and time lost.
  • Quick wins and structural projects.
  • Feasibility, prerequisites and implementation risks.

Systems & data

The state of your systems and data, the foundation of any AI project.

  • ERP / MES / CMMS / QMS
  • Documents
  • Data
  • Integrations
  • Digital maturity
See the detail
  • ERP, MES, CMMS, QMS and EDM.
  • Documents, available data and integrations.
  • Digital maturity and data quality.
  • Value and ROI where it can be calculated.

Constraints & feasibility

What makes a use case workable at your site, or what stands in the way.

  • Data
  • Security
  • Dependencies
  • Constraints
See the detail
  • Whether the data the use case needs is actually available.
  • Quality and completeness: whatever is missing will be re-keyed by hand.
  • Where processing can happen: locally, on your network, elsewhere.
  • Security: access, keys, how documents travel.
  • Vendor dependencies and reversibility.
  • Who approves the output, and at which point.
  • Sector constraints: GMP, IFS, BRCGS, medical device.
  • Regulatory constraints to respect in the design: AI Act, GDPR, ISO/IEC 42001.
  • Implementation effort, weighed against the expected gain.
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The process

How it works

A framed engagement, over several days. At each step you know what happens, and when. Duration depends on scope: the estimator computes it on your figures.

Operator in an industrial control room facing the process displays
IN THE CONTROL ROOM

What the audit looks at is your real operations: your processes, your data and your equipment, on site or remotely.

1ScopeBefore we startPerimeter, sites and the people involved.
2CollectOn your real dataYour reports, CMMS, MES and LIMS exports, and team interviews.
3AnalyseThe core of the auditReading and cross-checking: each use case scored by value and feasibility.
4DeliverThe outputReport, prioritised map and costed action plan, then a debrief.
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What you receive

An audit that leads to decisions

Sample report

Download a sample audit report

The real deliverable, anonymised: use cases ranked by priority, costed, and the roadmap.

  • A clear read of your situation.
  • Priorities: now, next, or not at all.
  • An action plan, in priority order.
  • A personalised report, delivered soon after the analysis.
ValueROI and economic potential per use case.
FeasibilityData available, effort and constraints to respect.

Results & ROI

What the audit changes for you

Opportunities

You see where AI has value

Your existing processes and data reveal the use cases that matter.

Prioritisation

You know where to begin

Each use case is scored on value and feasibility. The sorting becomes clear.

Roadmap

A costed 12-month plan

You leave with three to five costed priority cases and the steps to launch them.

Calculate the ROI

Estimate the time and risk avoided on your AI usage.

Sectors

Knowledge of your environments

The work targets the sectors where equipment, traceability and proof weigh most. Three industries: food, pharmaceutical, medical.

Food production line

Food

  • Cut losses and firm up your quality checks.
  • Keep your IFS and BRC files audit-ready.
Vial filling line in a pharmaceutical environment

Pharmaceutical

  • Lighten batch records, with your data kept on site.
  • Anticipate drifts on your sensitive equipment.
Technician in a cleanroom, controlled medical environment

Medical

  • Rebuild and automate the traceability of your devices.
  • Keep your compliance files ready for audit.

These sectors already work under IFS, BRCGS or GMP: use cases have to fit those rules.

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Our difference

An audit rooted in your production lines

A useful AI audit starts from your real data and your field constraints. Here is how the Assets 4.0 approach compares.

Operator capturing information on a tablet in a production workshop
ON SITE

A use case is proven on the production line. We start from what your teams already do.

 
Assets 4.0
Generalist audit
Starting point
Your real usage and data
A standard questionnaire
Scope
Your use cases, costed
A generic catalogue
Domain knowledge
Food, pharma, medical and their constraints
Limited sector context
Data
CMMS, MES, LIMS taken into account
Little link to industrial systems
Deliverable
Costed prioritised plan, owners
A gap report
What follows
Roadmap and optional support
Engagement ends at handover

Value and feasibility

Every use case is scored on both, never on one alone.

We speak your language

Production, quality, maintenance: your everyday.

Your data stays with you

We document the flows without extracting them from your perimeter.

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Estimate

What will your audit cost?

An industrial audit has a size. Answer seven questions. You get the workload in days, the amount, and what is included at that level.

How many sites are involved?Every site adds interviews, data and a debrief.
What scope?One line reads quickly. Several trades mean crossing different logics.
How many people to interview?Production, quality, maintenance, methods, IT, management.
Will your data be usable during the audit?This is the decisive factor. Without data the audit yields an opinion, with it a costed case.
Remote or on site?A visit adds field observation, which an interview does not replace.
Which sector constraints?They weigh on the documentation expected and on the vocabulary.
Which deliverable do you expect?From a prioritised map to the brief for the first building block.

Your estimate

0 / 7questions

Answer the seven questions to reveal the workload and the amount.

 excl. tax

    What would move this estimate

      Request an audit

      Indicative estimate, built from a one-day base plus the days each factor adds. The firm price is the one on the signed quote.

      Frequently asked

      What executives and CIOs ask us

      Does this audit cover regulatory compliance?

      No. This is an opportunity audit: it finds where AI creates value and puts the use cases in order. The European framework, ISO/IEC 42001 and the GDPR are taken into account as design constraints. We do not deliver a compliance audit, a certification or a label, which is the remit of an accredited body.

      Is my company covered by the AI Act?

      The AI Act applies to organisations that develop or use AI systems in the European Union, with obligations by risk level. Most companies are covered, at least as users. The audit establishes which of your usages fall under the text.

      Which AI Act deadlines should we prepare now?

      Prohibited practices and the AI literacy obligation have applied since 2 February 2025. Transparency obligations and enforcement powers become effective on 2 August 2026. High-risk systems follow in 2027 and 2028. The audit places your usage on this timeline.

      What is ISO/IEC 42001 and should we get certified?

      It is the first international AI management standard, published in December 2023, based on the PDCA cycle. Certification is not mandatory. The audit uses its structure to place your practices and, if you wish, prepare certification by an accredited body.

      How do we know if our usage is high risk?

      The AI Act classifies certain uses as high risk, for example in recruitment or safety, with reinforced obligations. The audit identifies whether any of your usages fall into this category.

      What is shadow AI and why map it?

      Shadow AI is the use of AI tools without approval or visibility: assistants, extensions, free online services. That is often where data leaks concentrate. The audit inventories it to bring it back into a framework.

      How do AI and the GDPR fit together in industry?

      As soon as an AI tool processes personal data, the GDPR applies: legal basis, minimisation, informing people, impact assessment. The audit spots where your usage touches this data.

      How long does an AI audit take?

      An opportunity audit runs over several days, depending on scope: number of sites, access to data, depth of the deliverable. The estimator on this page computes its duration and price on your figures. The report is handed over shortly after the analysis phase.

      How do we prioritise AI use cases when everything feels urgent?

      We score each case by value and feasibility, then keep 3 to 5 costed priorities. Prioritisation rests on expected return and estimated effort, not on hype.

      How do we estimate the return of an industrial AI project?

      We estimate time saved, risk reduced and business value for each priority case. The report costs the effort and the expected return, so you can decide with clarity.

      What does the action plan delivered at the end contain?

      It shows where to start, the estimated effort, the order of work, the owners and the deadlines. It covers the priorities, the owners and the deadlines.

      What are the penalties for AI Act non-compliance?

      The regulation provides graduated financial penalties by severity, effective from 2 August 2026. The audit helps you reduce this exposure ahead of the deadlines.

      Is the audit also for industrial SMEs?

      Yes. The scope adapts to the size of the organisation. An SME can handle a first targeted scope, without a heavy internal effort.

      Do you issue a certification or a label?

      No. We are not a certification body. The audit produces a report and an action plan. ISO/IEC 42001 certification is delivered by an accredited body; our work can prepare it.

      Does our data stay confidential during the audit?

      Yes. The work starts from your existing usage and your data stays with you. We document the flows without extracting them from your perimeter.

      Request your audit

      Let’s talk about your plant

      Describe your context: your sites, your data, your goal. We come back to you to frame the scope and the date.

      • On site or remotely
      • Report and costed action plan