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Case studiesIndustrialIllustrative engagement AI

Multi-plant manufacturer. Predictive-maintenance platform built to reduce unplanned downtime.

Predictive-maintenance platform built to reduce unplanned downtime.

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This is a representative engagement pattern, not a specific named client. The metrics listed are what this kind of work is measured on, not results. We share named references on a private intro call, with the client’s explicit permission.

Engagement · 8 monthsIndustrialAI in production
Illustrative

Downtime

Unplanned downtime

Savings

Maintenance savings

Rollout

Plants live

Challenge

A multi-plant manufacturer was bleeding money to unplanned downtime. Sensor data was already being collected, nobody was acting on it.

Approach

  • Streaming data lake aggregating signals across every plant, with a pragmatic schema.
  • Anomaly-detection models tuned per asset class, with a refreshingly boring operator UI.
  • Roll-out plant-by-plant, with operator champions and a 'do not surprise the floor' rule.

Outcome

Designed to reduce unplanned downtime and maintenance cost, rolled out plant by plant so the shop floor is never surprised.

Brief us on your engagement
How we ran it

The shape of the engagement.

Month 1

Pilot plant

One plant. Streaming ingest, baseline anomaly detection, shop-floor dashboard.

Month 2 to 3

Model tuning

Per-asset-class anomaly detection, calibrated to the floor, validated by operators.

Month 4 to 5

Operator UI

Boring on purpose: high contrast, large hit targets, clear escalation, zero surprises.

Month 6 to 8

Full rollout

Plant-by-plant rollout with on-site training, operator champions, and zero shop-floor disruption.

What we measure

Multi-plant manufacturer · the scorecard.

Metrics agreed in week one, reviewed weekly with the sponsor and reported quarterly to the exec team.

  • Business metrics, not vanity metrics.
  • Multiple capabilities, one accountable team.
  • Stack chosen for fit, not familiarity.

Downtime

Unplanned downtime

Savings

Annualised maintenance savings

Rollout

Plants live

Safety

Shop-floor incidents during rollout

"A streaming data lake, anomaly-detection models, and a refreshingly boring operator UI, installed plant by plant to avoid disruption."
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