A CRM doesn't break all at once. It becomes useless when nobody knows which fields matter, who maintains them, and on what cadence they're reviewed. We set up the workflow that keeps it trustworthy — minimum fields, named owners, deduplication criteria, lead-status discipline, and a cleaning cadence a 10–500 person B2B team can keep — then we hand it over. This is operational discipline, not a CRM migration, not a tool comparison, and not a data-enrichment product.
Common pain points
The same company or contact exists three times, so reporting double-counts and reps step on each other.
The fields that matter for routing and reporting are half-empty, because nobody agreed which ones are required and who fills them.
Lead and deal statuses mean different things to different people, so the pipeline view is a guess, not a fact.
Nobody owns the data — when everyone assumes someone else maintains it, no one does.
Cleanup happens in panic before a board meeting, not as a steady cadence, so the CRM decays again within weeks.
Reports don't reconcile, and the team quietly stops trusting the CRM and goes back to spreadsheets.
CRM data hygiene is the workflow that keeps your CRM trustworthy enough to route leads and report from — and it is not a CRM migration, a tool comparison, or a data-enrichment product. It is the minimum fields that must be filled, who owns each one, the deduplication criteria, the lead-status discipline, and the cleaning cadence that make the data reliable over time. We define the rules with the people who use the CRM daily, set up a continuous-maintenance workflow plus a monthly deeper clean, and assign a named owner per area so the data stays usable after we leave. AI assists where it helps — surfacing likely duplicates, flagging missing fields, summarising account context, preparing cleanup queues — but the merge, delete, and field decisions stay with named humans. The workflow lives inside the CRM your team already uses; we do not migrate you to a different tool. We help B2B teams of 10–500 people keep CRM data they can trust without a RevOps hire.
What we build
Area 1
We define the smallest set of fields the CRM actually needs for routing, follow-up, and reporting — and who is responsible for filling each one and when. Not every field, just the ones that drive decisions. Output: a per-object field list marked required vs optional, with a named owner per field group.
Area 2
We write the criteria for what counts as a duplicate (by domain, email, company name normalisation, or whatever fits your data) and the workflow for merging — who reviews, what wins on conflict, and how it gets logged. AI proposes likely duplicates; a named person confirms the merge. Output: written dedupe criteria and a merge workflow your team runs safely.
Area 3
We define what each lead and deal status actually means, when a record moves between them, and who is allowed to move it — so the pipeline view means the same thing to everyone. Output: a written status model with definitions and transition rules, visible inside the CRM.
Area 4
We set up the rhythm that keeps the CRM clean without a quarterly panic — lightweight continuous checks on new records, plus a monthly deeper review that catches decay, duplicates, and stale records. Output: a continuous-maintenance checklist and a 30-minute monthly cleaning agenda with a named owner.
Area 5
We set up AI to surface what needs attention — likely duplicates, missing required fields, suspiciously stale records, account context summaries, and prioritised cleanup queues — so the work is targeted instead of manual scanning. The merge, delete, and correction decisions stay with named humans. Output: an AI-assist map showing what AI flags and where humans keep the call.
Area 6
We hand over the workflow as a runbook written for the people who will keep running it: field rules, dedupe criteria, status model, cleaning cadence, owners, and the AI-assist boundaries. Output: a runbook your team can operate and edit after the engagement, with a monthly review agenda.
The pipeline view is something the team trusts, because duplicates and empty fields are handled by a workflow, not by hope.
Reporting reconciles, because the fields and statuses mean the same thing across the team.
CRM cleanup is a steady cadence with a named owner, not a panic before every board meeting.
Duplicates get caught and merged on explicit criteria, so reps stop stepping on each other.
AI does the detecting — duplicates, gaps, stale records — and your team makes the decisions.
The data stays usable after we leave, because the rules and owners live in a runbook the team owns.
No. This is not a CRM migration or implementation project. We set up the hygiene workflow inside the CRM you already use — HubSpot, Pipedrive, Salesforce, or whatever you have. If you genuinely need a migration or a heavy technical implementation, we will tell you and point you to someone who does that work.
No. We are tool-agnostic and we do not resell enrichment platforms, data vendors, or cleanup software. If an enrichment or dedupe tool genuinely fits your operation, we will say so without a referral fee — but the work we deliver is the rules, owners, and cadence, not a tool purchase.
No, and we would not trust it to. AI assists — it surfaces likely duplicates, flags missing fields, summarises records, and prepares cleanup queues — but the merge, delete, and correction decisions stay with named humans. Automatic cleanup without human review is how good records get destroyed. The point is targeted work, not unattended automation.
No, and anyone promising perfect data is overselling. CRM data decays continuously as companies and contacts change. The goal is a CRM that stays trustworthy enough to route and report from, with a workflow that catches decay on a cadence — not a one-time perfect state that degrades the moment we leave.
A tool can enforce a required field; it cannot decide which fields matter for your operation, what your duplicate criteria are, what each status means, or who owns the data. This work is that decision layer — the rules and ownership that should exist before any tool helps. Most teams under 500 people already have a capable CRM; what they lack is the workflow.
It does not include CRM migration or implementation, tool selection or vendor comparison, data-enrichment or list-buying services, scraping, SDR outsourcing, paid media, BI dashboard building, or legal/compliance review of data handling. If what you need is one of those, we will tell you and point you to the right partner.
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Read moreBook a call to scope the CRM data hygiene workflow your team needs. We will talk through what the CRM looks like today, which fields actually drive your decisions, where duplicates and stale records come from, and what the team can realistically maintain. If what you need is a migration or a new CRM, we will say so.
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