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PROOF // Continuous-Process Industrial Manufacturing Multi-line food & beverage processing plant · IoT-instrumented production floor · continuous-batch operations
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CHAPTER 01 · OVERVIEW

A Process Plant's Blind Spots, Closed With AI

Every line already streamed sensor data into a historian nobody had time to open. Six weeks later, the floor gets a briefing that catches failures before they happen.

Unplanned downtime always showed up as a surprise — a line went down, and only then did anyone look back at sensor data that had been flagging it for days. The data existed. Nobody was watching it in real time.

Industry

Continuous-Process Industrial Manufacturing

Operation

Multi-line food & beverage processing plant · IoT-instrumented production floor · continuous-batch operations

Systems in place

Plant historian · CMMS · ERP · shift-log spreadsheets

Scope

3 production lines in scope

WHAT SOLVING THIS REALLY MEANT

This Wasn't About a Dashboard

The cost of reactive maintenance

Every unplanned stoppage costs more than the fix — the missed run, the rework, the overtime to catch up. Waiting for a breakdown is the most expensive way to find one.

Sensor data nobody was using

Every line already streamed vibration, temperature, and acoustic data into a historian nobody opened until something went wrong.

Can't yet explain why equipment fails

Maintenance could tell you a motor failed. They couldn't tell you which one was next, or why — a gap that gets more expensive as the people who know the equipment's history retire.

HOW AN ENGAGEMENT RUNS

Same Three Phases, Every Time

01 · Day 0

Discover

One working day, on-site. We interview people, watch the work happen, map how it really runs, and score what we find.

02 · Weeks 1–8

Build

The first system shipped inside the plant's existing historian and CMMS — no new sensors, no new platform.

03 · Ongoing

Operate

We tune it, add the next workflow, and keep the models current as real usage comes in.

OPERATING BENCHMARK

45 days

from the first working session to the first AI system live on the plant floor

$7.0M

modeled annual value, once every wave is live

3

Facilities in scope, one team

Annual Value Created

Cost reduction $4.2M · 60%
Revenue growth $1.4M · 20%
Risk mitigation $1.4M · 20%

Modeled from the discovery baseline. Value is captured across cost reduction, revenue growth, and risk mitigation — not cost alone.

CHAPTER 01 OF 5

UP NEXT · DISCOVER

See exactly what we found on the floor — everywhere we looked, and the one workflow we picked first.

Continue to Discover