ERP Migration & SelectionFree worksheetPDF, Excel, Word export

ERP Cutover Plan Worksheet

A cutover plan is the minute-by-minute order of work between the last legacy transaction and the first live one. This worksheet lets you list each task, its owner and a buffer, and shows whether the total fits the freeze window.

Download:
SeqPhaseTaskOwnerPlanned duration (min)Buffer % (%)Duration with bufferPlanned startStatus
33 min
225 min
468 min
288 min
150 min
30 min
69 min
Planned minutes
1,020 min
Minutes with buffer
1,263 min
Planned cutover effort (hours)
17 hrs
Cutover effort with buffer (hours)
21 hrs
Buffer held (hours)
4 hrs

Total effort assumes tasks run one after another. Tasks that can run in parallel shorten the elapsed window, so mark them in the task text and compare your critical path against the freeze window the business agreed.

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How to use the worksheet

Replace the example rows with your own tasks in the sequence they must run. Give every row a single owner, an honest duration taken from your last mock load, and a buffer. Use the phase column to group tasks into freeze, extract, load, reconcile, validate, go/no-go and open. The summary shows total effort with buffer in hours. Compare that number to the freeze window your business signed off, such as a Friday evening to Monday morning shutdown. Export to Excel to share the runbook with the cutover team.

Where durations come from

Never estimate cutover durations from memory. Time each task during mock loads: at least two full dress rehearsals are normal on manufacturing projects. Record extract time, load time per object and reconciliation time. Then set the buffer based on how stable the timings were. A load that varied from 90 to 140 minutes between mocks deserves a 30 to 40 percent buffer, while a scripted reconcile query that always takes 10 minutes needs very little.

  • Use actual timings from mock loads, not vendor estimates
  • Add a larger buffer to steps that depend on third parties or manual work
  • Include time for reconciliation, which is often longer than the load
  • Keep a decision point for go/no-go and a rollback trigger time

Reading the result

If effort with buffer is below the freeze window and most tasks are sequential, you have headroom. If it exceeds the window, look for parallel work, remove tasks that can be done earlier such as loading static master data before the freeze, or reduce the number of open transactions by cleaning up before cutover. Also state your rollback point: the latest time at which you can still return to the legacy system without losing business data.

Common mistakes

Teams commonly leave out reconciliation and smoke testing, skip rehearsing the rollback, and plan cutover tasks without naming who is awake at three in the morning. Another is forgetting interfaces: EDI, shop floor devices, banking files and tax connections all need switching and verifying. Add them as rows so they are owned and timed like everything else.

Frequently Asked Questions

How long does an ERP cutover take?

For a single plant, cutover typically fits in a weekend of 36 to 60 hours including reconciliation and smoke tests. Larger or multi-site cutovers take longer and are often split into waves. The measured timings from your mock loads should decide, not a general rule.

How many mock cutovers should we run?

Two or three full rehearsals is common. The first finds data problems, the second validates fixes and timings, and the last is a dress rehearsal run to the real schedule with the real team.

What is a freeze window?

It is the period when users stop entering transactions in the legacy system so a consistent snapshot can be moved. The business has to agree the window because shipments, receipts and production reporting are interrupted.

What should the rollback plan include?

A defined trigger, a point of no return time, the steps to reopen the legacy system, and how transactions entered in the new system will be handled. Rehearse it at least once on paper with the whole team.

If reconciliation takes more of your window than the load itself, we can show how AI-assisted queries over legacy and new ERP data can speed the comparison, on your own infrastructure if needed.