Run SDR outreach with an OpenClaw agent
Prospects, outreach, follow-ups, CRM logging — all automated. Task: The author replaced a human SDR with an OpenClaw agent to automate the full sales development loop. The workflow involves defining an Ideal Customer Profile in SOUL.md, researching prospects via Apollo or browser automation, generating personalized cold emails using frameworks like AIDA, and scheduling follow-ups. The agent logs all interactions to HubSpot and runs on a $6/month VPS with API costs totaling under $20/month. Human involvement is limited to handling positive replies and closing deals, while the agent manages volume and data entry.; tools: OpenClaw. Human role: The original post does not say how a person stayed involved.; limitations: The agent struggles with brand-sensitive industries (finance, healthcare) due to compliance risks and cannot navigate internal politics or live objections. Hallucinations in prospect research require spot-checking the first 20-30 emails. Legal compliance (CAN-SPAM, GDPR) must be manually enforced via SOUL.md rules. The source is a marketing blog, so performance metrics are self-reported and may not generalize to all sales contexts..
Tools
Published on Agent Work Atlas:
Overview
Prospects, outreach, follow-ups, CRM logging — all automated.
Workflow
The author replaced a human SDR with an OpenClaw agent to automate the full sales development loop. The workflow involves defining an Ideal Customer Profile in SOUL.md, researching prospects via Apollo or browser automation, generating personalized cold emails using frameworks like AIDA, and scheduling follow-ups. The agent logs all interactions to HubSpot and runs on a $6/month VPS with API costs totaling under $20/month. Human involvement is limited to handling positive replies and closing deals, while the agent manages volume and data entry.
Reported result
The agent reportedly performs 80% of the human SDR's tasks at a fraction of the cost ($18/month vs. $6,000/month). It processes approximately 45 prospects daily, sending personalized emails and updating the CRM automatically. The author notes it books 8-12 meetings per month, though specific conversion rates beyond this anecdotal claim are not verified. Failures include hallucinated research facts and inability to handle complex buying committees or nuanced objections.
Human role
The original post does not say how a person stayed involved.
Limitations
The agent struggles with brand-sensitive industries (finance, healthcare) due to compliance risks and cannot navigate internal politics or live objections. Hallucinations in prospect research require spot-checking the first 20-30 emails. Legal compliance (CAN-SPAM, GDPR) must be manually enforced via SOUL.md rules. The source is a marketing blog, so performance metrics are self-reported and may not generalize to all sales contexts.
Try it
I want to set up an OpenClaw AI sales agent to automate my SDR workflow. First, create a SOUL.md file defining my Ideal Customer Profile: [replaceable inputs: e.g., B2B SaaS, 50-200 employees, US-based]. Install the 'apollo' skill for lead enrichment and 'cold-outreach' for email generation. Connect my HubSpot CRM using the MCP server. Configure the agent to research 10 prospects, draft personalized emails referencing specific company news, and schedule follow-ups for Day 3 and Day 7. Before sending any real emails, run a dry test with 3 sample prospects. Show me the drafted emails and CRM logs for approval. Do not send anything until I confirm the tone and accuracy are correct. Ensure the emails include an unsubscribe link and my physical address to comply with CAN-SPAM. If the agent hallucinates company details, flag it for manual review.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.