See what is wrong across your Dataverse entities, fix it at scale, and stop bad records from getting back in — so your reports, your automations and Copilot all work from data that holds up.
Monitor, clean and prevent share one set of rules and one view of your environment.
Sixteen automated analyses run against the entity and fields you choose, scored green, amber or red against thresholds you set.
Merge in bulk instead of pair by pair. Related records are re-parented to the surviving record instead of being orphaned.
The same rules run at every door: as users type, on save, on Quick Create, and on records arriving through the API.
Day-to-day analysis, detection and merging happen inside your own Dataverse environment. Nothing merges unless you wrote the rule.
Two interactive tours — no install, no sales call.
Run the checks that matter on the fields you choose, and get a colour-coded read on what needs fixing.
Find the duplicates native detection misses, then merge them in bulk instead of one pair at a time.
60%
of AI projects will be abandoned through 2026 for lack of AI-ready data (Gartner, 2025)
$12.9M
the average organization's annual cost of poor data quality (Gartner, 2020)
5,000
records: the ceiling on a native Dataverse bulk duplicate detection job
16
automated data health analyses, at no extra cost once installed
That is the usual reason teams start. Copilot does not work around messy data — it acts on it, answers from whichever duplicate it happens to pick, and writes more back into Dataverse. Monitor gives you a dated, defensible read on entity and field health before the rollout, and Clean and Prevent close the gaps it finds.
Yes, and many already do. Microsoft partners and consultants use Plauti on their own engagements: a data health check on day one to scope what a migration is really carrying, bulk merging to clear the backlog before go-live, and prevention left switched on at handover so the environment does not drift back. Because it installs from Microsoft Marketplace and runs inside your own Dataverse, the configuration your partner builds stays with you — the same rules and the same view, whether they keep running it or your team picks it up after handover.
Not for day-to-day work. The exception is large batch clean jobs, which are processed on dedicated infrastructure or locally, under a signed data-processing agreement.
Yes. The surviving record carries a marker showing it was merged, so anyone working that record can see what happened, not only an admin reading an audit log.
Checking data health and documenting your entities and fields carry no extra cost once Plauti for Dynamics 365 is installed.
Talk with one of our experts to see how that works for your use case.