Applied AI Cases

Follow the decision.
Examine the evidence.

Applied AI rarely has one obvious answer.

AgentIQ Cases use realistic scenarios to examine the decisions that connect business outcomes, AI capability, system design, evidence, and value.

Each case asks the reader to consider:

  • What would you investigate?
  • What assumptions matter?
  • What evidence is missing?
  • What would change the decision?

Read the situation. Inspect the evidence. Decide what you would do next.

How to read a case

Situation → Evidence → Decision → Trade-offs → Analysis → What would change the decision

  1. Situation

    What is happening?

  2. Evidence

    What do we actually know?

  3. Decision

    What choice must be made?

  4. Trade-offs

    What do we gain or give up?

  5. Analysis

    What explanation best fits the evidence?

  6. Change condition

    What new evidence would change the decision?

Read the evidence label

Not all cases use the same kind of evidence.

Illustrative
Hypothetical scenario created for reasoning.
Published
Based on public research, documented cases, or published evidence.
Practitioner
Based on real-world practitioner experience with appropriate context.
Experiment
Based on original testing, analysis, or evaluation.

Case 001 uses hypothetical figures for reasoning only. No organization, deployment, or observed result is represented.

Case library

Case 001

The AI answer improved. The business outcome barely moved.

Available now