Turn a raw list into enriched, usable prospects
The workflow starts from an existing list. It checks the data, applies filters, enriches companies and profiles from the configured sources, then generates personalisation fields the sales team can use. Failures stay visible so incomplete records are not silently treated as reliable.
This demonstration shows enrichment of existing leads. It should not be described as automatic generation of new prospects until a collection step is added and documented. Visible names, campaigns and URLs in the recording are treated as anonymous demo data.
What the footage shows
- Import of an existing lead list
- Cleaning, validation, coverage and batches
- Filters and segments
- Website, LinkedIn, company and search enrichment
- AI personalisation fields in the enriched output
- Failure handling when a record cannot be completed
What it does not prove
It does not prove net-new lead generation, a conversion rate, or a named client result. The recording illustrates enrichment and personalisation of a list that already exists.
How the workflow is organised
A list is imported, checked and filtered. Configured sources then add company and profile context. The model writes personalisation fields only from what those sources return. Records that fail a step remain marked as incomplete instead of being filled in by guesswork.
Chapter summary
- Import and validation of the existing list
- Batch coverage, filters and segments
- Enrichment from web and professional sources
- Personalisation output and visible failures