RevenueCaptain — AI Automation for Revenue Ops
An AI-powered revenue operations automation layer for RevenueCaptain — cutting manual work across lead scoring, pipeline hygiene, and outreach so the team could scale without adding headcount.
What RevenueCaptain was up against
RevenueCaptain's team was spending too much time on repetitive revops work — enriching leads, cleaning pipeline stages, triaging inbound, following up on stalled deals. Each task on its own was small; together they were eating the day. Off-the-shelf RevOps tools handled slivers of the problem but didn't orchestrate across them, and adding humans wasn't the answer — the work wasn't high-leverage enough.
What we built
We built a task-oriented automation layer that sits on top of their existing CRM and outbound tools. AI agents handle lead enrichment (reusing ideas from our Pre-Call Synthesis engine), pipeline hygiene (stage drift detection, duplicate merging), inbound triage (intent classification + routing), and stalled-deal reactivation with context-aware outreach. Every automated action is logged and reversible; the team controls guardrails per playbook.
What shipped
“The automation solutions from Engineer Master Labs helped us scale our revenue operations without hiring additional staff. Their lead generation automation is exceptional.”
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Other work we’ve shipped
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