B2B prospect data sourcing and enrichment console

Reduce tool sprawl and manual list work while keeping one owned, auditable prospect dataset. For sales operations and market research teams building and maintaining B2B prospect lists, convert permitted company sources, contact records, live enrichment feeds and buyer-defined filters into a reviewed, export-ready prospect dataset. The benefit is a testable hypothesis, measured through accepted prospect records per research hour and stale or bounced records after export; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted company sources, contact records, live enrichment feeds and buyer-defined filters, then follow this sequence: 1. Collect company information from permitted sources into prospect lists. 2. Extract emails, phone numbers and social contacts for outreach. 3. Enrich datasets with live, up-to-date information from multiple sources. 4. Apply buyer-defined filters to find niche leads. Resolve uncertain cases with qualified reviewers, approve the reviewed, export-ready prospect dataset, and measure accepted prospect records per research hour and stale or bounced records after export against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for deduplication, schema validation, rate-limit handling and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved source set and one export schema; final contact accuracy, permission checks and outreach decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, contact permissions, opt-out status and usage rights. Buyers approve outreach scope and export destinations. One approved source set and one export schema; final contact accuracy, permission checks and outreach decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved source set and one export schema; final contact accuracy, permission checks and outreach decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: collect company information from permitted sources; extract emails, phone numbers and social contacts. Support the third module with operator review: enrich datasets with live, up-to-date information. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Buyer-owned CRM, permitted company sources and authorized enrichment providers. Cloud storage, spreadsheet import/export and outreach destinations. Start with file exchange and validate destination specifications before promising direct CRM sync. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Source and filter setup, Searchable prospect library, Enrichment and review queue, Export and delivery. Use a filter bar over a sortable table for the library, a side panel for field definitions and source references, and a review queue for records with low confidence or missing permissions. Let users compare enriched and original values side by side. Display sourced, enriched, reviewed and exported states. Provide a shareable read-only view for approved stakeholders. Make the task-specific outcome reviewed, export-ready prospect dataset visible beside its evidence, review state and value baseline.