Skip to the book
Making Room for AI

A free book for team leaders

Making Room
for AI

From Implementation
to Transformation

By Joshua Bloodworth

Put AI to useful work, help people use it well, and decide what the team can change as a result.

Download the free PDF

Complete book · 118 pages · PDF · 8.2 MB

Includes the workbook. No email or signup required.

Making Room for AI by Joshua Bloodworth. The cover shows open doors leading into a warmly lit room where a team sits around a table.

Where does AI belong?

A useful first example opens a larger conversation.

An AI-prepared brief might help someone arrive ready for a customer call. Making that help dependable takes decisions about records, review, responsibilities, and the preparation it replaces.

This book is for business owners, managers, and colleagues coordinating a team. It gives you a way to examine those decisions together, starting with one activity you know well.

Inside the book

Three questions to bring to your team.

The book uses these working meanings. The decisions often overlap as a team learns.

  1. Part I

    Implementation

    How do we put AI to useful work?

    Choose a defined purpose, give AI an assignment, and build a first example people can inspect.

    Chapters 1–3 · Inputs, instructions, boundaries, and review.

  2. Part II

    Enablement

    What helps people use it consistently?

    Develop the skills, judgment, access, and support people need. Connect responsibilities and learn from the results.

    Chapters 4–7 · Practice, permissions, handoffs, recovery, and evaluation.

  3. Part III

    Transformation

    What can we now organize differently?

    Decide what the new capacity is for, reconsider roles and decisions, and explore a different service.

    Chapters 8–10 · Capacity choices, authority, and new possibilities.

One assignment, followed through

Maya has a customer call on Thursday.

Her team starts with a familiar task. As the assignment develops, the book shows what AI contributes and what people still need to decide.

Maya’s team, its records, and the illustrated AI results are fictional teaching examples. They are not captured product runs or measured business results.

  1. Prepare a useful brief

    AI uses approved meeting notes and an action list to draft a brief with references to its sources. Maya checks the commitments and decides what to discuss.

  2. Connect the work around it

    A connected assignment can notice a missing status, ask a permitted question, save its place, and resume. The book follows a successful run and an interrupted one, including when a person must take over.

  3. Make room for an earlier conversation

    The team explores a planning service that helps customers consider their needs sooner. People decide what the service includes, who can make commitments, and what evidence would justify continuing.

A page from the workbook with writing space for stop conditions, resuming work, and checking whether an uncertain action already happened.
From the workbook · Stop, resume, and uncertain action

A 31-page workbook, included

Bring one activity
to the table.

Use the workbook with someone who knows the activity well. It has space to record your assignment, trace the handoffs, and agree on what happens next.

  • Choose a useful starting point and write the assignment.
  • Map permissions, human review, and responsibilities.
  • Plan for pauses, missing answers, and uncertain actions.
  • Evaluate quality, adoption, and the cost of accepted results.
  • Decide what can change and what would justify a new service.

Workbook on PDF pages 80–110. Read on screen or print the pages you need.

Open the workbook in the PDF

The complete book

Start with an activity
your team knows.

Read an example, try the workbook, and decide together where AI could help.

Download the free PDF

118 pages · 8.2 MB · Workbook included

No email or signup required.