Solutions

Automate B2B prospecting with AI without losing control

Build a qualified B2B prospecting system: targeting, enrichment, sequences, follow-ups, CRM and reporting with human supervision.

Problem

Why this workflow gets stuck

Sales teams lose time finding, qualifying and following up with prospects manually. Data quality drifts, follow-ups become irregular and CRM updates arrive too late.

Workflows to automate

  • Target account discovery from public and commercial criteria.
  • Responsible enrichment before human qualification.
  • Personalized email sequence preparation with approval before sending.
  • CRM sync, reply prioritization and campaign reporting.

Deliverables

  • Prospecting workflow map and approved data-source rules.
  • Enrichment and scoring prototype with execution log.
  • Supervised message templates and exclusion rules.
  • Lead, follow-up and next-action dashboard.

Typical integrations

CRMGoogle SheetsAirtableEmail sequencingSlack or Telegram

Guardrails

  • No unapproved mass sending.
  • Public-data discipline, exclusion rules and contact-quality checks.
  • Source tracking, consent handling when needed and follow-up monitoring.

Method

  1. Frame ICPs, available data and exclusions.
  2. Build a limited prototype on a controlled sample.
  3. Measure replies, adjust scoring and connect the CRM.
  4. Move into a supervised operating rhythm with reporting.

Frequently asked questions

Does AI send the emails automatically?

It can prepare sequences, but we recommend human approval before sensitive commercial outreach.

Can it connect to an existing CRM?

Yes, the workflow can read from or write to a CRM depending on permissions, fields and quality rules.

How do we avoid aggressive prospecting?

The system includes limits, exclusion lists, relevance checks and human review of messages.

Add context

Optimization Pilot Assistant