IESE AI Club

Role playbooks

It depends on your job.

Start with recurring work, then see useful AI, proof and the judgment that stays yours.

  1. 01 Pick your role Start with the work you actually do.
  2. 02 Work the six Follow practical use cases.
  3. 03 Build the proof Ship one narrow MVP with visible human judgment.

Pick your role

Nine playbooks, six use cases each.

Product management

Discovery, prioritisation, specs, launch. Hear more users without losing the signal.

Open playbook

Sales

Research, outreach, discovery, proposals. Automate the unglamorous half.

Open playbook

Marketing

Positioning, content, creative, measurement. Production got cheaper; taste did not.

Open playbook

Venture capital

Sourcing, screening, diligence, memos. The reading job just changed.

Open playbook

Operations

Processes, planning, suppliers, exceptions. Unsexy work, large gains.

Open playbook

Consulting

Scoping, research, analysis, storylining. Much of the pyramid's grunt work is gone.

Open playbook

Forward deployed engineer

Half engineer, half consultant. Deployment bottlenecks; translating messy work is scarce.

Open playbook

AI product manager

Prompts become specs; quality becomes an eval suite.

Open playbook

Founder

Trying got cheap. Knowing what to build and making people care did not.

Open playbook

Before you start

These assume the base.

Each playbook assumes you know what AI is, how to prompt it, when to check it and what you may paste. If any of that is shaky, start with the eight-step base.

Start with the base

Now do it somewhere real.

The Fellowship is the terrain: one term with professionals implementing AI, finding value and building a working prototype. Most fellows start as beginners.