Use case

A CRM that's always clean, always current

The challenge

Your CRM is a graveyard. Stale contacts, phantom deals, incorrect stages, duplicate records. Your forecasts are based on fiction. Quarterly cleanup sprints fix it for a week, then it rots again.

The solution

Hire a CRM Ops worker that continuously cleans, deduplicates, enriches, and maintains your data. No more cleanup sprints. No more asking reps to update their records. Your CRM stays honest, automatically.

1

Connect your CRM

Your AI worker integrates with Salesforce, HubSpot, or Pipedrive and audits your current data state.

2

Continuous cleaning

Duplicates merged, stale records flagged, contact info updated, deal stages corrected, every day.

3

Enrichment

Every contact enriched with current title, company data, tech stack, and intent signals.

Expected results

95%+ (vs. typical 30-50% CRM accuracy)

Data accuracy

Near zero, continuous deduplication

Duplicate records

Significantly improved with clean pipeline data

Forecast accuracy

Eliminated, plans from $50/month vs. quarterly sprints

Manual cleanup time

Questions

Your AI worker monitors engagement signals, email bounces, title changes, company updates, and deal activity to identify records that need attention.

No, it flags and recommends. For sensitive operations like deletion, it escalates to your team for approval.

They gave you a tool. We'll give you a team.

Your first Shadow Worker is ready in 30 seconds. No contracts, no workflows to build, no AI to babysit.