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Use Case

Agency Replaces an SDR Seat with an AI Employee

A 9-person agency ran an AI SDR with a job description, KPIs and weekly reviews.

1 min readupdated 2026-08-01

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An agency lost its only SDR and could not justify a new hire at €3.2k/month while pipeline was uneven. A 9-person agency ran an AI SDR with a job description, KPIs and weekly reviews.

A 9-person agency ran an AI SDR with a job description, KPIs and weekly reviews. An agency lost its only SDR and could not justify a new hire at €3.2k/month while pipeline was uneven. Outcome: The AI SDR handled enrichment, first-touch and follow-up. Month 3: 41 meetings booked vs the human baseline of 33, at €210/month in tools and model spend, with ~4h/week of human review.
Situation
An agency lost its only SDR and could not justify a new hire at €3.2k/month while pipeline was uneven.
Tools Used
Workflow Applied
Outcome
The AI SDR handled enrichment, first-touch and follow-up. Month 3: 41 meetings booked vs the human baseline of 33, at €210/month in tools and model spend, with ~4h/week of human review.

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What is the Agency Replaces an SDR Seat with an AI Employee use case?

An agency lost its only SDR and could not justify a new hire at €3.2k/month while pipeline was uneven.

What was the outcome?

The AI SDR handled enrichment, first-touch and follow-up. Month 3: 41 meetings booked vs the human baseline of 33, at €210/month in tools and model spend, with ~4h/week of human review.

Which tools were used?

ai-employee-stack, ai-sales-stack.

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Related concepts

The vocabulary this page depends on.

  • →AI Employee

    An AI employee is a persistent agent that owns a defined role — with a job description, tools, memory, KPIs and a manager — instead of running as a one-off task.

  • →AI SDR (Sales Development Rep)

    An autonomous system that researches, qualifies, and contacts leads.

  • →Agent Architecture

    Agent architecture is the structural blueprint of an AI agent: the model, the planning loop, the tools, the memory layer and the guardrails that decide how it acts.

  • →Multi-Agent System

    A multi-agent system splits a job across several specialised AI agents that coordinate through a shared plan, message bus or orchestrator.

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Related workflows

Turn this into a repeatable process.

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Related tool stacks

The tools that run it in production.

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Related prompts

Reusable prompts for this job.

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