Manufacturing

Predictive Maintenance

Turn vibration, thermal, and current signatures into scheduled repairs — pull the asset before it stops the line.

Maintenance runs on the calendar, not the asset. Vibration and thermal data sit unused until a bearing fails mid-shift and takes the line with it.

Deploy via outcome brief

76 teams run this pack 17,480 runs / 30 days 88% auto-resolution

Expected outcome

Asset health scored continuously; repairs scheduled into planned windows with parts pre-staged; unplanned downtime driven toward zero.

Runs as a continuous outcome

A continuous uptime contract — every rotating and press asset scored on condition, with repairs pulled into planned windows before they cost a line-stop.

SLAUnplanned downtime <= 2 %/ daily Part of Lights-Out Facility Operations

Install this pack, then graduate it into a continuous outcome from My Workflows — it earns autonomy (shadow → assisted → autonomous) as it proves itself on real telemetry.

Hours saved / wk

FTEs freed

0.6

Monthly value

$26,000

Triggers

Vibration/thermal signature crosses band

ready

Motor current/power anomaly

ready

Runtime/duty-cycle threshold reached

ready

Integrations

CMMS (Maximo, Fiix, UpKeep)

Work orders + parts

Historian / IIoT (PI, Ignition)

Asset telemetry

Agent steps

2 credits / run

1
Score health
Fuses sensor streams into a remaining-useful-life estimate per asset.
2
Schedule window
Books the repair into the next planned window before predicted failure.
3
Pre-stage parts
Reserves parts and kits the work order so the crew arrives ready.
4
Dispatch crew
Pages the right millwright/electrician with the asset packet.
5
Log decision
Every prediction and disposition on the Decision Log.

See it in action

State Transformation

A formal contract: what this pack converts, with explicit uncertainty bounds and verification criteria.

Initial state

Calendar-based maintenance with unused condition data

Target state

Condition-based maintenance scheduled ahead of failure

Invariants (must hold)

no repair after predicted failure pointwork orders reversible

Uncertainty bounds (max acceptable error)

max_false_alarm≤ 6.0%

min_lead_time_hrs≤ 2400.0%

Verification: Failure averted + planned-window completion record

Domain ontology — entities & states

The vocabulary this pack reasons over. Each entity has its own state machine.

Asset4 states

healthy→degrading→scheduled→in_repair

WorkOrder4 states

drafted→staged→dispatched→closed

Relations

· Asset-generates-Signature
· WorkOrder-restores-Asset

Audit & explainability

Per-asset RUL and prediction trail
Parts-pre-positioning hit rate
ISO-55000-ready asset evidence

Pricing

~7× ROI — you keep ~85% of the value this pack creates. Priced at the market median, never as a race to the bottom.

Pilot

Prove the ROI on one bottleneck.

$3,900/mo

Onboarding · included free

1 workflow deployment
Shadow + assisted run modes
White-glove setup call
Decision Log + audit export

Scale

Recommended

Run it as a continuous outcome.

$9,360/mo

Onboarding · included free

Up to 5 deployments
Autonomous mode (earned via self-grading)
Continuous SLA in the Outcome Console
Autopilot drift signals

Enterprise

Your operating model, contracted.

Custom

+ custom implementation

Unlimited deployments
Custom SLAs + integrations
Dedicated solutions engineer
SSO + compliance reviews

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Calculate my ROI

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Onboarding is included free — self-serve or white-glove

Pick Self-serve and our onboarding assistant walks you through connecting Gmail/Outlook/Slack/ERP, or choose White-glove and a Centertron specialist joins you for a live go-live call — both at no extra cost, live in <48 hours. Either way, the pack runs in your audit trail with every decision logged.

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