
CRM Enrichment and Hygiene Workflow
RevOps
Automation
CRM
Enrichment
Every week a few more CRM records stop being true. This workflow checks them on a schedule, fixes wrong data and tells your team, and turns real changes into tasks and new leads.




How a CRM goes out of date, and how this workflow fixes it
It runs every week instead of as a one-off cleanup, because that is how a CRM really goes out of date. Ten steps, most of which never need a person.
Every week a few more records in your CRM stop being true. Somebody changes job, a title goes out of date, a second record appears for a company that already had one, and the champion at your best account leaves without telling you.
The damage shows up later and somewhere else. A sequence bounces, two reps turn up at the same company in the same week, and the pipeline number in the Monday review describes something that stopped being accurate months ago.
Cleaning that up as a quarterly project does not work, because the decay is continuous, so this workflow runs continuously as well. It sweeps the records your team actually works, repairs what is simply wrong without announcing it, and treats the changes that matter as events worth acting on.
When somebody leaves an account you care about, it finds their replacement. When they land somewhere new, it hands you that company as a fresh lead.
Step 01: Agree what clean actually means here
Hygiene work fails when nobody defined the goal, so we start by writing it down with whoever owns the CRM: which fields your team works from, which ones nobody has opened in a year, what counts as a duplicate in your business, and which changes at an account are worth interrupting a human for. Most of what a CRM stores does not matter, and saying so out loud is what keeps this from becoming noise.
Step 02: Sweep the records worth sweeping
The workflow runs on a schedule across open pipeline, current customers and your target account list. Everything else can wait, because checking records nobody works is how these projects get expensive for no return. Running weekly rather than yearly is the whole difference: a database does not rot on a schedule, it rots a little all the time.
Step 03: Ask whether the data is wrong
The first lane looks for decay: missing fields, addresses that no longer accept mail, two records for one company, a job title that stopped being true two years ago. These are not events, they are erosion, and they get corrected in place. Nobody is told, because an alert for every small repair is exactly how a team learns to ignore alerts.
Step 04: Fix it quietly and keep the receipt
Corrections are written back with a note of what changed and why, into a log your team can look at whenever they want and never has to. This is the unglamorous half of the workflow and it is most of the volume: thousands of small repairs that nobody will ever thank the system for, which is the sign it is working.
Step 05: Ask whether anything has actually happened
The second lane asks a different question. Your champion left, or someone joined in the role that buys what you sell. A contact moved into a bigger job at the same company. These are not mistakes to fix, they are moments to act on, and a record that only stores what was true the day it was created will never surface them.
Step 06: Rank the changes by the account behind them
A contact leaving one of your top accounts matters more than the same event somewhere you would never have prioritised, so every change is scored by the account before anything happens. Without this step a hygiene workflow becomes a firehose, and a firehose gets muted within a fortnight.
Step 07: Restore the coverage that just walked out
When someone leaves an account worth keeping, the workflow finds who does that job now, verifies them, and links them to the account with the history intact. Most teams discover this months later, when a renewal call has nobody to dial or a sequence starts bouncing. Here, the gap closes in the same sweep that noticed it.
Step 08: Follow the person who left
Someone who knew your product and liked it has just arrived somewhere that does not use it yet. That is the warmest outbound lead your own database can produce. They get enriched at the new company and created as a lead, and your outbound workflow takes them from there, which turns one departure into two useful outcomes.
Step 09: Tell the owner once, and only when it counts
Only now does a human hear anything: one message with what changed, what the workflow already did about it, and what is left to decide. Everything handled automatically stays in the log. Keeping alerts rare is what keeps them worth reading, and it is the difference between a system your team trusts and one they filter.
Step 10: Write it back and sharpen the rules
Every lane ends in the same place, the record, complete and current with an audit of what moved. Then the sweep itself gets reviewed: which checks keep catching things, which alerts people acted on, which they ignored. The definition of clean from step one is a living document, and we tune it with your team until the tuning is theirs.
The tools doing the sweeping
One scheduler, one enrichment engine, one CRM, and somewhere to raise a hand.
Clay checks and repairs, HubSpot is the thing being kept current, and Slack carries the few events a person should see.

Clay
Enrichment

HubSpot
CRM

n8n
Automation

LeadsFactory
Scraping

Slack
Notify

Apollo
Data

Claude
AI




The objections we hear
Most of them are about letting automation touch live CRM data, which is fair