Governed agentic AI for supply networks

See disruption coming.
Act before the line stops.

Unplanned downtime costs the world’s 500 largest companies about $1.4 trillion a year, and supply-network disruption adds an estimated $40–90 billion in losses. SNOE predicts which of your production lines a tariff, port delay, strike or sanction will reach, and when, then ranks the approved responses for your team to approve.

Acts only within your approved limits A human approves every action Every decision and dollar logged
Predict the line impactRank approved responsesApprove and log the savings
SNOE What-If Analysis Studio: a two-week shutdown scenario for Plant A, Line 3, showing total cost impact, service level, revenue impact, at-risk orders, impact by category and an AI recommendation

What-If Analysis Studio. Model a disruption, compare it to your current plan, and see the cost, service and revenue impact before you commit. Product preview with illustrative data.

The cost of a stopped line

When production stops, the bill runs into the trillions.

$1.4T

a year: what unplanned downtime, from all causes, costs the world’s 500 largest companies. Roughly 11% of their revenue.

Siemens, The True Cost of Downtime 2024
$40–90B

a year in estimated losses from supply chain and supplier-network disruption: tariff hikes, logistics breakdowns, labor shortages and geopolitics, often three or four tiers deep.

SNOE estimate: Interos 2021 & 2023 per-company averages × 500
$2.3M

an hour: the cost of an idle line at a major automotive plant

Siemens 2024
30%

of supply disruption events cost more than $5 million each

RapidRatings 2025
48 hrs

is how long most organizations can stay unaware of a sub-tier disruption

Interos 2023
60–90 days

from pilot start to a finance-verified ROI ledger

SNOE pilot design

The two headline figures come from different sources and aren’t additive: $1.4T covers unplanned downtime from every cause, and $40–90B is SNOE’s order-of-magnitude estimate for supply-network disruption, not a measured total.

Explore SNOE

One governed decision layer for your whole supply network.

Risk tools tell you something happened. SNOE tells you which line it stops, how soon, and the best approved way to keep it running.

Platform

Predict the line impact, rank every approved network response, and log what each decision saved.

Explore the platform →

How it works

Monitor, detect, analyze, recommend, approve: one closed loop beside the ERP you already run.

See the five steps →

Governance

No runaway agents. SNOE acts inside your approved limits, and a named person approves every action.

How we govern the AI →

Industries

Built for aerospace, automotive, electronics and industrial plants with multi-tier supply networks.

See who it’s for →

New whitepapers

Before the Line Stops

Why visibility alone doesn’t keep production running, and how governed AI helps manufacturers act on disruption in time. An executive paper and a technical paper, for investors and manufacturers.

Partner with SNOE

Keep your lines running when the network doesn’t.

Book a 60–90 day pilot on your own supply network, or read the whitepaper first.