Internal AI Playbook Get early chapters

Internal AI Playbook / Book in progress

How to build internal AI that works.

A practical book about connecting company knowledge, AI agents, human judgment, and feedback into systems people can trust and use.

Get early chapters
Inside the book / The AI revenue system
  1. 01 / Find the right accounts AI Outbound SDR

    Research each account, find the angle, and draft outreach worth answering.

  2. 02 / Turn intent into pipeline AI Inbound SDR

    Enrich, qualify, route, and respond while intent is high.

  3. 03 / Protect customer value Customer Success AI

    Keep customer context current, spot risk early, and prepare the next best action.

  4. 04 / Grow the right accounts AI Expansion Agent

    Find the right upsell or cross-sell moment from usage, conversations, and product fit.

Shared intelligence Product knowledge + customer context

Docs · CRM · calls · tickets · usage · policies

Human judgment + safeguards

Permissions · approvals · exceptions · feedback

01 / Inside the book

Build the systems your company actually needs.

A practical field guide for engineers, product teams, revenue operators, and customer success leaders, with the architecture and operating decisions behind each system.

  1. 01

    System blueprints

    See how company knowledge, tools, agents, people, and evaluation fit together.

  2. 02

    Agent patterns

    Adapt concrete workflows for inbound, outbound, customer success, and expansion.

  3. 03

    Production lessons

    Learn the decisions and tradeoffs behind internal AI systems in active use.

02 / Waitlist

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