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Digital Transformation

The system is in place; is the work still in Excel?

Starting point
Introductory meetingWe clarify the need and the scope together.
Scope
As neededA single process, or the whole systems landscape.
Outcome
Decision reportRanked findings and investment priorities.

Digital transformation is often reduced to a software purchase. Yet a system installed before the process is defined simply moves old habits onto a new screen; the data stays in spreadsheets and decisions are still made by guesswork. We look not at the technology but at how digitally the work itself runs: in which process, which data, which decision.

The symptoms that bring companies to us

  1. 01

    The ERP is installed, but the real work still runs in Excel spreadsheets.

  2. 02

    Sales, production and accounting give different numbers for the same thing.

  3. 03

    Collecting data for the month-end report takes days; by the time it arrives, the decision has already been made.

  4. 04

    The systems do not talk to each other; the same information is keyed in by hand in three places.

  5. 05

    AI was tried and stalled at the pilot; no one can say where it would create value.

  6. 06

    E-invoicing is in place, but approvals and follow-up still run on signatures, phone calls and reminders.

Two starting points

If the investment has not paid off

We identify which processes are not using the installed systems, and why the work drifts back to spreadsheets.

If you are about to invest again

Before a software or AI decision, we check whether processes, data and the team are ready for it.

How it works

  1. SymptomSystems, reports and interviews: what was installed, what is used, where the work really runs.
  2. MechanismThe processes that produce data, the hand-off points and the habits: where the disconnect starts.
  3. Root cause and decisionRecommendations ranked by importance and urgency, each with an owner and a timeline.

The questions we answer

  • Which critical processes run inside the system, and which run outside it?
  • How many hands does the number management looks at pass through, and whose number counts?
  • Which decisions did past investments speed up, and which did they not change at all?
  • Do data, responsibility and authority sit in the same place, and does every record have an owner?
  • Which processes and data must be put in order first for AI and automation?