CRM Hygiene Expert Agent — Lantern

Operate

CRM Hygiene Expert

Your CRM cleaned, deduplicated, and kept accurate — without a quarterly cleanup project.

The Brief

Most CRMs accumulate noise faster than teams can clean it: duplicate contacts, stale job titles, bounced emails, merged companies, and orphaned records that no one touches for years. The CRM Hygiene Expert runs continuously — flagging bad data, merging duplicates, reverifying contact information, and keeping every record accurate without a manual audit cycle. Clean data isn't a project. It's a system.

Detects and Merges Duplicate Records

Duplicates enter the CRM from every direction — form submissions, CSV imports, integration syncs, and manual data entry. The agent identifies duplicates using fuzzy name matching, email domain clustering, phone number normalization, and company name variants, catching merges that exact-match logic misses entirely. When two records resolve to the same entity, the agent surfaces a merge recommendation with a confidence score and a preview of which fields from each record would survive the merge. High-confidence duplicates are merged automatically; ambiguous cases land in a review queue with context. The result is a CRM where every person and company has exactly one canonical record.

Reverifies Contact Data at Scale

Contact data decays at roughly 30% per year — people change jobs, companies are acquired, email addresses bounce, phone numbers are reassigned. The agent runs a continuous reverification cycle across all contacts in the CRM, checking email deliverability, validating phone numbers against carrier databases, cross-referencing LinkedIn profiles for current employer status, and flagging records where the contact's listed title no longer matches their current role. Records that fail verification are flagged with specific failure reasons — not silently left in the database to corrupt pipeline metrics and campaign deliverability rates.

Enriches Stale and Incomplete Records

A CRM is only as useful as the fields that are actually filled in. The agent identifies records missing critical data — no phone number, no company size, no industry vertical, no LinkedIn URL — and runs enrichment passes using a waterfall across 150+ providers to fill the gaps. Enrichment is prioritized by record importance: contacts attached to active deals and high-tier accounts get enriched first. Every enriched field is stamped with the source and date, so downstream users know what was added programmatically versus what came directly from the contact. The agent doesn't overwrite human-entered data — it fills what's missing and flags conflicts for review.

Maintains Field Standards and Data Governance Rules

Inconsistent data entry undermines every downstream workflow — segmentation breaks, routing rules misfire, and reports become untrustworthy when the same value is entered fifteen different ways. The agent enforces field-level governance rules across the CRM: normalizing country codes, standardizing phone formats, correcting industry taxonomy mismatches, and flagging records where custom field values don't match the approved picklist. Rules are configurable by field and severity level — critical violations are auto-corrected, cosmetic inconsistencies are flagged in a weekly hygiene digest. Teams get a health score per object type so data quality is a visible, trackable metric rather than an invisible problem.

Today vs. With CRM Hygiene Expert

Feature Today With CRM Hygiene Expert
Duplicate Records Pile up from every import and integration sync, silently inflating pipeline numbers and confusing reps Duplicates detected using fuzzy matching across name, email, phone, and company — merged automatically or queued for review with a confidence score
Contact Data Verification Verified once at import, then left to decay — bounced emails and stale job titles discovered only when a campaign fails Continuous reverification cycle checks email deliverability, phone validity, and LinkedIn job status on a rolling basis across all records
Clean-up Projects Quarterly manual cleanup projects that take weeks of RevOps time and still don't catch everything Ongoing automated hygiene running in the background — no projects, no sprints, no manual audits required

Works With

Three Layers, One Platform by Lantern

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Data Waterfall

150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine

Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology

Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

FAQ

Your CRM is only as good as the data in it — keep it clean without making it a project.