Results That Show Up
in the Numbers

The plant was losing 4–6 hours per week to unplanned equipment failures on their primary conveyor and mixing systems. Maintenance was reactive — operators called it in when something broke. We deployed the ikigaiOS Predictive Maintenance AI, wired to sensor data from 4 critical machines. Within 14 days it was live, predicting failures 3–7 days in advance and issuing automated work orders. Downtime dropped 94% in the first 60 days.

The operations team was managing inventory manually through weekly Excel reports. Excess stock was invisible until the annual physical count. We deployed the AI Inventory Alert Agent, connected to their ERP data feed. It immediately surfaced $2.1M in excess inventory across 847 SKUs and began issuing daily automated alerts with recommended actions. The purchasing team recovered $95K in the first 90 days by redirecting orders and liquidating slow movers.

The owner was losing 15–20 leads per week after hours because no one was answering the phone or responding to web form submissions. Competitors were getting to those customers first. We deployed the AI Lead Capture & Instant Response System in 7 days. It now responds to every inbound lead within 90 seconds, 24/7, qualifies the job, books a callback, and routes urgent calls to the on-call tech. Revenue recovered in the first 90 days: $67K.

The shop was losing jobs to competitors who could quote faster. Their 3-day manual quoting process required the owner and two engineers to pull material costs, labor rates, and shipping manually for every RFQ. We deployed the AI Auto-Quoting System in 21 days. It now pulls real-time material costs, applies their labor and markup rules, generates a professional PDF quote, and routes it for approval — in under 4 hours. They won 14 additional jobs in the first 60 days that they would have lost to slower quoting.