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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. This use case node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
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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Related use cases

How people apply it, and what came out.

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