Public programmes such as Manufacturing AI Innovation and the AI Voucher can be used — eligibility and limits follow each programme notice

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DARVIO · AI adoption consulting

Before any AI goes in,your data is where we start

Setting out the floor’s data and its decision criteria — that is the work itself.
If what you need is your cost explained exactly as things stand, that’s a different route.

Why consulting first

Same plant — so why do the answers differ?

The floorThe physical worldBasis for a decision
  • Temperature, vibration, sound
  • A veteran’s instinct
  • Outside the system
ManagementThe world of decisionsBasis for a decision
  • ERP, MES, reports
  • Outcome metrics
  • Inside the system

This disconnect is what creates loss for the business.

What previous diagnostics actually turned up

We find what the plant didn’t know about itself

What follows is not an improvement plan — it is the facts left in hand when the diagnostic finished.

  • B2B ODM manufacturer

    All twelve root parameters in the cost calculation turned out to be arbitrary values

    The same class of warning appeared 423 times across the file. Quotes went out with nobody knowing those values were arbitrary.

  • B2B ODM manufacturer

    25.3% of the total cost on a single job derived from those arbitrary values

    That doesn’t mean the numbers were wrong — it means nobody could trace where the evidence ended and the assumption began.

  • Large food manufacturer

    Closed historical costs were being rewritten in later versions

    Of 36,293 order lines present in both versions, 7,660 had a different production unit cost. Not one order quantity had changed.

  • B2B ODM manufacturer

    Materials making up 96.0% of purchase value moved more than 10% in price over 26 months

    Yet the material price used in quotes hadn’t been updated in over a year.

The figures are what each diagnostic observed. They differ by plant, and they are what we found — not money we recovered. Company names are given only as industry and size.

Sample · illustrative (anonymized)

Current stage: 00 Launch

INPUT → THE COUNCIL → OUTPUT

Run a sample factory diagnosis.

Connect the data, watch five AI agents debate, and get a Factory Operations Health Check report.

“The shop floor knows the problem. Management knows the numbers. The agents debate in between.”

6
connected systems
~2.4M
data points / hr
5
specialist agents
I→C→O
Input · Council · Output

Concept demo · all figures are illustrative samples (anonymized).

What follows consulting

This is how it continues once consulting ends

Shape the build-contract process around your own situation

Optional

Consulting

1–3 weeks
Optional

PoC

3–5 weeks
Required

Build contract

About 3 months
Ongoing

Asset and operations

Ongoing

FAQ

Frequently asked questions

If it’s hard to choose

We’ll work out where to start with you

A 30-minute intro call

  • A short read on your plant
  • Working out together which engagement fits
  • Cost and schedule explained
  • Online, no commitment

Light consulting

  • Run online, no site visit
  • About 1–2 weeks
  • Plant diagnostic report + PoC proposal
  • A low-cost way to start

Standard consulting

  • Consultants on site + AI analysis
  • About 2–3 weeks
  • Written up as a single BRD
  • The step just before a build contract