Task Inventory

What does “Task Inventory” mean in practice?

In Applied AI, this lesson connects Task Inventory to a choice someone genuinely needs to make. Start with a familiar example, then check when Task Inventory helps and when the label hides the real problem. After this lesson, you can recognize Task Inventory in everyday examples without applying the label too quickly.

After this lesson

• In Applied AI, this lesson connects Task Inventory to a choice someone genuinely needs to make.
• Use the idea of “Task Inventory” to interpret one realistic situation.
• Explain the limits of the concept and the information that still needs to be checked.

Start with the situation

Understand the situation first. The label can come later.

Summarizing hundreds of survey responses is safer to test than handing contract termination decisions to AI. This lesson uses the idea of “Task Inventory” to examine that situation without treating a single term as the answer to every problem.

In Applied AI, this lesson connects Task Inventory to a choice someone genuinely needs to make. Find recurring tasks worth improving by starting with the problem, not the tool. Connect the term to a decision someone genuinely needs to make.

See how the decision unfolds

Move from the situation to a choice others can review.

Visual model

Map the parts before choosing what to do.

Read the diagram as a map of Task Inventory: begin with the context, follow the connections, and inspect the highlighted point before making a decision.

Do not rush the choice

Two ways to look at Task Inventory

The stronger choice is the one whose evidence, owner, and limits can be explained, not simply the more sophisticated option.

Try it on your work

Try it with one small piece of real work.

1. Choose one real situation related to Task Inventory.
2. Separate what you can observe from what you are assuming.
3. Write one decision, its owner, and the evidence needed to review it.
4. Name the signal that would make you stop or change direction.

Write two examples that fit Task Inventory and one that does not. Explain the difference in your own words. The larger module activity is: Rank ten tasks by value, risk, and repeatability. Keep the first version small enough for another person to review in a few minutes.

Pause for a moment

What evidence could change this decision?

Answer before opening the discussion. Name one fact and one assumption.

A tempting shortcut

A familiar term can still lead us to the wrong decision.

Why this can seem reasonable

A frequent task is not automatically valuable or safe to automate. This mistake often appears when a label is used before the problem is understood. Write down your assumptions so another person can review them.

How to check it

Start with a familiar example, then check when Task Inventory helps and when the label hides the real problem. Begin with what can be observed, then separate facts, assumptions, and open questions.

Quick practice

Write two examples that fit Task Inventory and one that does not. Explain the difference in your own words. The larger module activity is: Rank ten tasks by value, risk, and repeatability.

Summary

• In Applied AI, this lesson connects Task Inventory to a choice someone genuinely needs to make.
• Use examples and evidence to test your understanding.
• Record the limits, risks, and conditions that should trigger another review.

Continue from here

• Pain, Frequency, and Value: Continue the idea from From Work to AI Opportunities with a closely related example.
• Problem Space: Connect this lesson to Product Thinking and test the idea in another context.
• Ambiguity: See how the same decision changes when viewed through Prompting.

Sources and further reading

• People + AI Guidebook: Google PAIR · official-guidebook. Primary reference for the definition, evidence, or limits discussed in “Task Inventory”.
• Artificial Intelligence Risk Management Framework: NIST · official-framework. Further evidence and context for checking the explanation in “Task Inventory”.
• Rules of Machine Learning: Google for Developers · official-guidance. Further evidence and context for checking the explanation in “Task Inventory”.