decision-kernel-lite / docs /Executive_brief.md
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What the System Does

Decision Kernel Lite takes four inputs:

  • a set of actions
  • a set of plausible scenarios
  • probabilities for each scenario
  • a loss matrix describing consequences

From these, it produces:

  • a single recommended action
  • a clear justification using multiple risk lenses
  • a Decision Card suitable for executive review

No forecasting. No optimization. Only the decision.


The Three Risk Lenses

The system evaluates every action using three complementary rules.

1. Expected Loss — “What works best on average?”

  • Optimizes average outcome
  • Appropriate when probabilities are trusted
  • Best for repeatable decisions

This is the default economic lens.


2. Minimax Regret — “What will I regret least?”

  • Optimizes post-hoc defensibility
  • Appropriate when probabilities are unreliable or disputed
  • Best for one-shot, high-accountability decisions

This lens protects decision-makers from hindsight criticism.


3. CVaR — “How bad are the bad cases?”

  • Focuses on tail risk
  • Appropriate when rare failures are unacceptable
  • Best for safety, financial ruin, or irreversible outcomes

This lens prioritizes survival over average performance.


How the Final Decision Is Chosen

  • All three lenses are computed simultaneously
  • A primary decision rule is selected explicitly
  • A heuristic recommendation is provided, but can be overridden

This ensures:

  • transparency
  • governance
  • accountability

There is no “black box” choice.


What the Output Looks Like

The system produces a Decision Card summarizing:

  • the recommended action
  • the assumptions used
  • how each rule evaluated the options
  • why the final rule was chosen

This artifact can be:

  • pasted into an executive memo
  • included in a slide deck
  • stored for audit and review

What Makes This Different

Decision Kernel Lite does not attempt to:

  • predict demand
  • estimate probabilities automatically
  • optimize operational parameters

Its value lies in decision clarity, not model sophistication.

It sits between:

  • analytics (what might happen)
  • and operations (what to do)

Typical Use Cases

  • strategic one-off choices
  • pricing or investment decisions with asymmetric downside
  • contract or supplier selection
  • policy or governance decisions
  • scenario planning workshops

Any situation where:

“We must decide, even though we are uncertain.”


Business Value

Organizations using structured decision kernels achieve:

  • faster decision cycles
  • fewer unexamined assumptions
  • reduced post-decision conflict
  • clearer accountability

Most importantly:

Decisions become explainable, not just executable.


Positioning

Decision Kernel Lite is a foundational decision layer.

It can be:

  • used standalone
  • embedded into larger planning systems
  • integrated downstream of forecasting or upstream of optimization

It is deliberately minimal, fast, and domain-agnostic.


Bottom Line

Decision Kernel Lite does not promise certainty.

It delivers something more valuable:

Clarity about what you are choosing — and why — under uncertainty.