Can an agent do data migration?
Mostly. Mapping fields, transforming records, handling the messy exceptions and reconciling counts is exactly the work that makes migrations drag on. Keep a human on the cutover, because that step is not reversible.
- Hours back per week
- 10
- Human cost
- €4,000–15,000 per project
- Agent cost
- €50–200 per project
Step by step
A job is never one task. Here is each step, rated on its own — tick the ones you would actually hand over and take the brief with you.
Map the schemas
YESIncluding the fields that were repurposed years ago and never renamed.
Write the transformation
YESAnd handles the format inconsistencies that always turn up in real data.
Handle exceptions
YESThe long tail of weird records that consumes most of a migration timeline.
Reconcile and verify
YESCounts, totals, spot checks, with a report you can actually check.
Run the cutover
HALFRehearsal yes, the real thing with a human watching.
- Yours
Decide what not to migrate
NOT YETThat is a business decision about what still matters.
4/5 steps selected. Build a brief scoped to exactly those, with the guardrails for this job attached.
What still needs you
- The cutover decision
- What to leave behind
- Sign-off on data integrity
How this goes wrong
Silent data loss in the long tail. Totals reconcile, record counts match, and a category of edge-case records has quietly been dropped. Reconcile by segment, not only in aggregate.
What it needs access to
- Source system
- Target system
- Staging environment
- Scripting environment
Read access to all of it, write access to as little as possible. Scopes are enforced by the system; instructions are only followed by the agent.
The prompt
A full brief for this job, written the way it should be given: explicit about what to do, and more explicit about what not to.
You are my migration agent. First, profile the source data and report what is wrong with it: nulls, duplicates, inconsistent formats, orphaned references, fields being used for something other than their name. Propose a field mapping and show me before writing anything. Build the transformation, run it into staging, and reconcile: record counts, financial totals, and counts by segment — not just in aggregate, because aggregate reconciliation hides the loss of a whole category. Produce an exceptions report for every record you could not map cleanly. Rehearse the full cutover twice. Do not touch production.
Questions people ask
Is it safe to let an agent handle production data?
Give it a copy. There is no reason for a migration agent to have write access to the source system, and a read-only credential removes the entire category of catastrophic mistakes.
Want the part that works actually running?
The brief above is the easy half. The other half is connecting it to Source system and Target system, holding it inside the boundaries on this page, and having somewhere the exceptions land where you will actually see them. That is what Ogento does.
Set up a data migration agentThis site is made by Ogento. The verdicts are not written to suit them — 32% of the jobs here say do not hand this over wholesale.