You opened Setup in your first week and found 600 custom fields across Accounts and Contacts alone. No descriptions. No owners. Half of them look like they were built for a project that ended before you arrived.

That’s not unusual. That’s most Salesforce orgs.

The problem isn’t that the data is dirty. It’s that nobody knows what anything is for. Which fields are actually used? Which ones feed a live automation? Which ones are safe to delete without breaking something nobody talks about anymore?

The answer lives in people’s heads: the ones who are still around, anyway. When they leave, the answer leaves with them.

Once you can see everything, the next question is: where do you start?

Most admins facing a cluttered org don't have time to go field by field. They need to know what's broken, what's unused, and what's most likely to cause a problem if left alone.

The Analysis Summary gives you exactly that: a ranked view of every field missing a description, every field with no assigned owner, every field nobody has touched in months, and every field with a data health score low enough to matter. You start with the worst offenders, not with wherever you happen to look first.

No custom reports. No exports. No day spent in Setup trying to piece together a picture that should already exist.

For fields that need a closer look, Plauti Context brings everything together on a single screen: metadata, usage, documentation, and health score side by side.

That's what turns an anxious decision into a confident one. When a field has zero usage in 12 months, no description, no owner, and a fill rate of 3%, you're not guessing whether it's safe to delete. You're looking at the evidence.

And when a field does have active usage but poor data quality, you know it needs fixing before anyone builds on it, not after the automation fires on bad data and someone calls you to ask why.

Once Context shows you what's broken and what matters most, cleanup stops being guesswork. If the Analysis Summary surfaces fields with high duplicate values, that's the signal to act before those records feed the next campaign or automation run. Plauti Context shows you where. Plauti Deduplicate gives you the fix.

But the work doesn’t stop at cleanup. The next step is making sure the org stays understood over time.

Schedule analysis jobs to run automatically, daily, weekly, or monthly, per object, per the fields that matter most to your automations and reporting. Set it up once. Plauti Context handles the rest in the background, saving results automatically and feeding them directly into trends and history.

That’s where monitoring becomes real. The History view shows you how field health has moved over time. Trend analysis tells you whether things are improving, holding steady, or quietly drifting, before a drift becomes a problem someone else discovers first.

The org stays understood. Not just at the moment you ran the scan, but continuously. That’s the part that’s hard to get back once you’ve lost it.

Ready to stop guessing what's in your org?