CRM Data Enrichment

Create a Salesforce report or use the Bulk API to export contacts and accounts that have incomplete fields such as missing industry, company size, or job title. Set up a scheduled flow that flags records falling below a data completeness threshold and queues them for enrichment.

Feed the incomplete records to Claude along with any available context like email domains, LinkedIn profile URLs, or past interaction notes. Use a prompt that instructs Claude to infer missing fields, standardize job titles to a canonical taxonomy, and flag any data quality concerns. Output the enriched data as structured JSON.

Load the AI-enriched records into a Google Sheet for human review before syncing back to production systems. Use conditional formatting to highlight low-confidence inferences and data validation rules to catch formatting inconsistencies. Allow sales ops to approve, reject, or manually correct individual records before the final sync.

Use the HubSpot API or a middleware tool like Zapier to upsert the validated enriched records into HubSpot. Map the standardized fields to HubSpot contact and company properties. Trigger relevant workflows based on newly populated fields, such as enrolling contacts in nurture sequences when their industry is identified.