We use cookies to improve your experience and measure traffic. Cookie policy

    Scalor
    CONVINCE US →
    back to blog
    Applied AI

    Sales automation with AI: the playbook that takes 70% of the manual work off the sales team

    How a Portuguese SME can build an AI-assisted sales engine—from lead qualification to follow-ups—without losing the human touch where it matters.

    Henrique Baeta
    Commercial & Doer
    5/3/20262 min read
    Share

    Most sales teams in SMEs spend more time searching for contacts, copying data into the CRM, and writing the same email for the 40th time than selling. It’s not a lack of talent — it’s a lack of a system.

    What can (and should) be automated

    • Lead enrichment (LinkedIn, website, news)
    • Initial qualification via AI agent
    • Automatic summaries of calls and meetings
    • Proposal drafts from templates
    • Scheduled multi-touch follow-ups

    What NOT to automate

    • Negotiation
    • Handling complex objections
    • Relationship building in strategic accounts

    Typical stack we build

    CRM (HubSpot or Pipedrive) + n8n + OpenAI/Gemini + Apollo + automatic transcription. Monthly cost: 80–250€. Time saved per rep: 8 to 12 hours per week.

    Real result

    With a B2B client in Lisbon, we went from 18 qualified leads/month to 74, without hiring anyone else. The sales cycle shortened by 22%.

    It’s not magic. It’s architecture.

    Henrique Baeta
    Written by
    Henrique Baeta
    Commercial & Doer

    Writes about applied AI, operations, GEO/SEO and how to turn companies into machines that keep running even when no one is watching.

    keep reading

    More on Applied AI

    All articles
    Newsletter

    Real-time knowledge

    No spam.

    By subscribing you accept our privacy policy.