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ERP migration: which customer gets the open order?
Short answer
Data check automation before a migration checks the format of the columns and the links: does an open order point to a client that exists in the new system? The list of items to clarify goes to the data owners, and the migration team decides on the import. At Syntalith the automation costs from €3,000 net, and with 400 records to clarify a month at 8 minutes each it pays back in 2.3 months.
How we workDetails ↓
- 01Call30 minutes with an engineer, free
- 02PrototypeA working system on your process and data, free
- 03ImplementationTarget and fixed price in the contract; 50% at signing
- 04Acceptance50% once the agreed target is met
- net for the automation of one process, build paid once
- from €3,000
- from signing the contract to acceptance
- 2–6 weeks
- free prototype on your cases
- €0
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 3 min read
Statistics
Company data and AI: statistics 2026
2.3 mo.
payback of a €3,000 automation at 400 records to clarify a month: €1,861 of work today, €561 with checking and the model. Scenario.
46.5%
According to Eurostat (2025), 46.5% of EU companies with at least 10 employees used ERP software.
Source: Eurostat, digital economy and society statistics, enterprises (2025) ↗
26.2%
According to Eurostat (2025), 26.2% of EU companies analysed data from transaction records such as sales and payment records.
Source: Eurostat, digital economy and society statistics, enterprises (2025) ↗
90%
According to the European Commission (2026), 90% of companies using AI say that people take the decisions, and 2% of decisions are fully automated.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
14–56%
According to Anthropic (2025), studies with a control group found smaller time savings, from 14% to 56%.
Source: Anthropic, Estimating AI productivity gains (2025) ↗
Figures checked: 22 October 2026
Data checks before migration: an open order with no target client
The order file has all the required columns, and some items point to old client numbers. An open service order carries a client number from the old system that is neither on the agreed client list of the new system nor in the mapping. The format check passes, and after the import the order goes to nobody or to a default client.
The automation shows the order, the old identifier and the missing match side by side and sends a question to the person responsible for the client records. Once the agreement is saved, the team checks again the data that uses the changed mapping. On the next migration attempt the work does not start from zero: the answers from the previous round are saved with the records. Ordinary rules check the known identifiers, and AI only helps with clarification notes written in different ways.
- 01Exportthe version of the export and the mapping, with a date
- 02Linksdoes every record point to an existing object in the new system
- 03Listitems to clarify, assigned to data owners
- 04Agreementsanswers saved with the records
- 05Re-checkthe result on the same mapping version, with a change history
The history of the checks shows whether fewer open items come from agreed fixes or from a new version of the export.
What automated pre-migration data checks cost and when they pay back
- Today
- 400 records to clarify × 8 min = 53.3 h (€1,861)
- With the system, a person checks the output in 30% of the time
- €558
- Model, 1 call per case, Claude Sonnet 5.5
- €3
- Cost of one case
- €4.65 today, €1.40 with the system
- Saving
- €1,300 a month
Payback of €3,000
2.3 months
The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 2,000 input tokens and 300 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.
The count covers the work around each case: searching, reading, writing and handing over. What remains is the time to check the result, 30% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.
Use the checks in your migration tool
Migration tools often have data preparation, mapping and a job history. If your current tool flags an unrecognised number and lets you go back to the right order, organising how those items are handled is enough. An automation makes sense when clarifications cannot keep up with the next exports and the same work comes back at every attempt. Retyping data every day is a different problem, covered in the comparison of import, OCR and AI.
The migration tool flags gaps and lets you go back to the record
checks in the tool
no build
One migration attempt, few links
a spreadsheet with a list of clarifications
no build
Several attempts, thousands of records, answers from many people
an automation of link checks
from €3,000
Where to start
The first scope covers open orders and the client records. The migration team names the files and the mapping, and the data owners decide who is responsible for clarifications. We build this kind of system as part of our AI automations. For the free process review, a description of one case from the last few weeks and the tools it went through is enough. You do not need to send confidential documents, and you receive a written plan within 2 working days.
Worked example · Scenario
How we count the payback: reporting automation
We run the same count for your migration in the free process review.
€1,815
a month for 12 h a week of report preparation
Payback: 1.9 mo.
The hours for each firm size and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. We measured the model cost in our report system: a commentary with a check of the figures costs about €0.0002, converted at the NBP rate of 21 October 2026 and the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
