Make maintenance records and quality information easier to use.

Teams need reliable records of equipment, inspections, shifts and exceptions. We help connect that information and reduce time spent building reports, searching for instructions and preparing audits.

Illustrative industrial scenario — not a report of an implemented project.

Discuss maintenance and quality work → See the example
Maintenance & Quality · Illustrative example Illustrative example
Your systems ERP MES SCADA Microsoft 365 E-mail CMMS / maint. Quality Warehouse Workflow coordination
People decide The system carries out permitted actions Data comes from defined sources

Illustrative example — no client data. This shows a possible process, not a product available off the shelf. We verify the specific steps, connections and permissions for your company. How it works is explained on the AI Agents & Automation page.

Where work gets delayed

  • Shift records are copied into spreadsheets after the shift.
  • Employees must check several document versions to find the approved procedure.
  • Audit evidence is assembled manually shortly before an inspection.
  • Upcoming maintenance deadlines are not visible to the right person.
Maintenance and operation of industrial equipment

An improved process could look like this

records are re-entered and searched for by hand

Illustrative example — no client data.

Shift summaryEnter the same information againPrepare a summary for the supervisor to confirm
Maintenance scheduleCheck multiple spreadsheetsShow a shared schedule with due-date alerts
Audit evidenceSearch for recordsCollect traceable documents against an approved list
Shift handoffPass updates without contextShare current status, open issues and owners

What automation could handle

  • Shift summaries

    Compile available records into a draft for human review.

  • Inspection alerts

    Flag deadlines and overdue work using agreed data.

  • Audit preparation

    Gather relevant documents and identify gaps.

  • Quality monitoring

    Compare available readings or records with defined limits.

What we check first: Data completeness, equipment identifiers, document control, approval requirements and the reliability of operational inputs. Preparing maintenance recommendations is not the same as controlling industrial machinery.

What we measure: Time spent preparing records, availability of correct instructions, overdue inspection rates and time needed to resolve flagged issues.

How to start

Start with one recurring record, report or inspection process. We can discuss it in 30 minutes, map the dependencies and assess a practical first improvement.

  1. 30-minute call

    Start with one recurring record, report or inspection process.

  2. Strategic workshop

    In a three-hour strategic workshop we map the dependencies and assess a practical first improvement.

See how we work

Questions we often hear

Will AI control our machines?
Not by default. The scenarios here concern information and workflow. Any control-system integration would require a separate technical and safety assessment.
Can we keep the existing maintenance system?
We assess existing functions and integration options first.
What will be measured?
We agree indicators such as reporting time, data completeness and response to warnings.
How much does implementation cost?
Pricing follows the validated scope and risk requirements.

Where is manual work slowing your business down?

Tell us about one process, where it gets delayed and which systems are involved. In a 30-minute call, we will discuss whether a workshop, process review or another first step makes sense.

Schedule a 30-minute call → Send us a message

The initial call is an introduction, not a technical audit. Any further work is scoped and agreed separately.