Learning path for applying AI at work
WHY4 min

What will you take away from this program?

What you'll learn

Know what you will produce and what changes when work moves from personal practice to a team or enterprise.

Carry one work task through the program

You will carry one task through the program. You are not expected to solve an organization's AI strategy on your own. Start with what you can observe and do; involve the right people when the work touches shared processes, company information, or system changes.

Part of the programWhat you will work outUseful output
W and M0–M2Which task to improve, what information it needs, and what a safe first use looks likeAn AI Trial Card, prepared inputs, and a checked result
M3–M4How to instruct AI for the task and how to check its answerReusable instructions and review criteria
M5Whether the approach is worth keeping as a Skill and how to test itA Skill with test cases and an owner
M6–M8Whether steps, approved Knowledge, or a system connection are neededA Workflow Blueprint, Knowledge Charter, or Tool Charter with owners and limits
M9–M11Whether an agent adds enough value to justify a controlled pilot, and what should happen nextAn architecture decision, pilot evidence, and a scale, revise, or stop decision

The output may be a well-tested way for one person to work. It may also become a shared team practice or part of a larger organizational change. That wider step needs business ownership, applicable data and security decisions, and people responsible for implementation and ongoing review. Training and a good individual example do not replace those responsibilities.

Choose the path that fits your situation

If you are learning on your own, use the supplied fictional cases and keep company information out of the exercises. If you are learning with a team, agree on one task and who may review the result. If your organization is working on adoption more broadly, bring in a sponsor, process owner, data or security contact, and the people who will implement and operate the change as needed.

Task I will follow:
Person who confirms data, process or result:
Evidence I want at the end of the foundational work:
Practice: about 5 min

Before moving on, complete this short handoff for yourself:

  1. I am taking this program as an individual / with a team / as part of an organization-wide effort.
  2. Before M0, my next step is...
  3. At the end, I want evidence that...

Keep this with your task record. In the next module, you will make your first bounded use of AI and check what information its answer relies on.

Keep these responsibilities clear

  • Use only tools and information that are permitted for your situation.
  • Keep a person accountable for checking and using consequential results.
  • Do not scale an individual experiment into a team or company process without the relevant owners.
    1. What evidence will you build before recommending that an approach be shared or expanded?
    2. Who needs to be involved if your task uses company information or changes a shared process?