Manufacturing · Industrial · Reporting

The Monday report that took until Wednesday

Plant reporting assembled by hand each week arrived too late to act on. Replacing it returned two days of decision time and a day and a half of analyst effort.

An industrial manufacturer, three plants · First outcome in 4 weeks

Wed → Monwhen the weekly pack lands
~1.5 daysof analyst time returned each week
4 weeksto the first automated pack

Composite. This describes a pattern we see repeatedly rather than a single client, and the figures are illustrative. No client is named without written consent.

The problem

Where it started.

Every engagement begins from a written problem statement rather than a role description. This was theirs.

  • Three plants submitted spreadsheets in three different shapes; one analyst merged them by hand.
  • The weekly pack landed on Wednesday, describing a week that ended on Sunday.
  • By the time a yield problem was visible in the report, it had been running for over a week.
What the pod did

In order, and why that order.

Step 01

Map the manual path first

Before automating anything, the existing process was documented end to end — every copy, paste and judgement call. Two of the manual steps turned out to be unnecessary rather than automatable.

Step 02

Standardise the input, not just the output

The three plant submissions were reduced to one schema. Most of the effort in the engagement went here, because it was the actual constraint.

Step 03

Automate the assembly, and monitor it

The pack builds itself from source systems on a schedule, and a failure watcher alerts when a feed stops — the failure mode that quietly kills most automations.

What changed

We thought we needed a dashboard. We needed the three plants to agree what a shift was.

Operations director, manufacturing

  • The weekly pack is waiting before the Monday operations meeting starts.
  • Yield variance is caught within days rather than after a fortnight.
  • The analyst who assembled the pack now investigates what it shows.
The pod behind it

Automation Pod

Automation fails when it starts from tooling. The Automation Pod starts from the work: which recurring task consumes senior time, what it costs, and whether it deserves a human at all. Then it removes it — and keeps ownership of what it built.

Get started

Start with one problem. Not a hiring plan.

A short sprint tells you more about the work than three rounds of interviews.