AI RevOps 8–16 hours setup
AI-Native Agency Operating System
Run an AI-first agency where humans lead strategy and agents handle execution
Overview
A practical operating model for running an AI-first agency: humans own strategy and approvals, while agents handle repeatable execution across content, GTM, sales, delivery, and success.
Implementation Steps
1
Define the human control layer (strategy, positioning, client relationships, final approvals)
2
Map repeatable tasks across Content, GTM, Sales, Project Management, Customer Success
3
Deploy Content Agents (competitor research, ideation, repurposing, newsletters)
4
Deploy GTM Agents (list building, qualification, copywriting)
5
Deploy Sales Agents (pre-call research, CRM updates, email drafting)
6
Deploy Project Management Agents (task tracking, reporting)
7
Deploy Customer Success Agents (ICP matrix, meeting summarization, expansion detection)
8
Centralize data infrastructure (single CRM, unified content DB)
9
Scale by deploying new agents instead of new roles
Expected Outcome
An operating model where agents handle content, GTM, sales, PM, and CS tasks — scaling via agent deployment instead of headcount
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Quick Facts
CategoryAI RevOps
Use CaseBuild an AI-first agency where humans…
Setup Time8–16 hours
Steps9
Tools Required6
Tags
AI RevOpsAgencyAgentsAutomationOperations