CRM Data Cleansing & Migration

The call comes in: leadership wants to migrate from HubSpot to Salesforce. Or Pipedrive to Zoho. Or something older and stranger you’ve never heard of.

The export is a CSV. It has 4,200 rows. contact_name sometimes says “John Smith,” sometimes “J. Smith,” sometimes “Smith, John.” company is “Acme Corp” in one row and “ACME CORPORATION” in another. There are duplicates. A lot of them. Nobody knows how many.

Your options: spend 40 hours manually de-duping in a spreadsheet, pay a SaaS migration tool $800 for one-time use, or let OpenClaw handle it.

How It Works

A Bridge Agent running in OpenClaw takes the raw export and applies a structured cleaning pipeline:

Step 1: Schema Mapping

The agent reads the target CRM’s required fields and maps the source data to them. It handles the tedious stuff:

• full_name → first_name + last_name (with fuzzy splitting when the source only gave you one field)
• company_name → account_name (normalized to remove LLC, Inc, Corp suffixes)
• Phone numbers reformatted to E.164 standard regardless of how scrambled they came in

The mapping rules are configurable — you write them once, the agent applies them to every row.

Step 2: Intelligent Deduplication

This is where standard CSV importers fall apart. OpenClaw’s Bridge Agent doesn’t just match exact strings — it reasons about records.

It can figure out that:

• “J. Smith” at “Acme Corp” and “John Smith” at “ACME CORPORATION” are the same person
• “[email protected]” and “[email protected]” at the same company is the same account
• Two records with identical email addresses are duplicates, even if the names are formatted differently

This requires looking at multiple fields together and applying judgment — exactly the kind of thing LLMs are built for and rule-based importers can’t do.

Step 3: Conflict Resolution

When duplicates are found, the agent doesn’t just pick one — it merges intelligently. If one record has a phone number and the other has a title, it combines them. For conflicts (different emails on what it thinks is the same person), it flags them for human review rather than silently picking one.

Step 4: Export in Target Format

The cleaned, deduplicated data is output as a properly formatted CSV or direct API payload for the new CRM. Ready to import in one shot.

Real Impact

A professional services firm migrating 6,000 contacts from a legacy CRM to HubSpot:

• Before: Estimated 80+ hours of manual deduping, 3-4 rounds of “we found more duplicates” after import
• After: 6 hours of agent configuration and review, 98% fewer duplicates on first import

The remaining duplicates were genuinely different people at companies with similar names — the agent was right to leave them alone.

Setting It Up

The Bridge Agent is configured with three files:

1. Source schema — what fields exist in the export and what they’re called
2. Target schema — the destination CRM’s required fields and formats
3. Deduplication rules — which field combinations count as “probably the same person”

OpenClaw runs the pipeline and outputs a migration-ready.csv plus a needs-review.csv for anything it couldn’t resolve automatically.

The Bottom Line

CRM migrations fail because the data is dirty, and cleaning data is tedious, error-prone human work. OpenClaw handles the tedious part. Your team reviews the edge cases, makes the judgment calls, and moves on with their actual jobs — instead of a week in a spreadsheet.