Workflow playbook

AI-assisted lead enrichment workflow

Combine search, enrichment prompts, and automation glue to turn raw leads into reviewed outreach-ready records.

Back to workflows

Target users

  • Small teams
  • B2B founders
  • Operators

Inputs

  • Lead list
  • Qualification criteria
  • Source policy

Outputs

  • Enriched lead table
  • Qualification notes
  • Outreach-ready segments

Primary tools

ZapierNo-code automation for connecting business tools.n8nWorkflow automation with self-hosting and developer control.PerplexityAnswer engine for cited market, product, and tool research.

Alternatives

TavilySearch API designed for AI agents and research workflows.OpenAI APIGeneral-purpose model APIs for product builders.

Steps

  1. 1

    Define enrichment fields

    Decide which fields are truly useful for decision-making and which require source links.

    Output: Lead schema and quality rules.

    Claude
  2. 2

    Collect and enrich

    Use search and automation steps to add company context, relevance notes, and source URLs.

    Output: Enriched lead records.

    PerplexityTavilyZapiern8n
  3. 3

    Review before outreach

    Check source quality and remove low-confidence leads before any outbound message is sent.

    Output: Reviewed shortlist.

    Claude

Related tools

ZapierNo-code automation for connecting business tools.n8nWorkflow automation with self-hosting and developer control.PerplexityAnswer engine for cited market, product, and tool research.TavilySearch API designed for AI agents and research workflows.

Related guides

  • AI workflow design for one-person companies
  • How to judge whether an AI tool is worth paying for

Guide routes are not published yet.

Use cases

  • Supplier research
  • Sales outreach
  • Partner scouting