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Intelligence Examples

Why This Exists

This document provides realistic examples of how the Intelligence Domain operates.

Examples show how Intelligence uses Organization context without owning Organization data.

Owner

The owner is the Chief Product Officer and Enterprise Architect.

Business Value

Examples make AI orchestration, reasoning, guardrails, execution, explainability, and memory concrete.

Example 1: Opportunity Fit Assessment

Scenario: Nova reviews a new procurement opportunity for a customer.

Intelligence behavior:

  • Loads OrganizationId and Organization Intelligence Graph.
  • Reads services, capabilities, geographic coverage, past projects, and preferences.
  • Applies a reasoning framework for opportunity fit.
  • Produces a confidence score and explanation.
  • Records memory and audit entries.

Business value:

  • Customer receives a reasoned recommendation grounded in Organization context.
  • Opportunity Domain receives fit insight without Organization ownership duplication.

Example 2: Compliance Readiness Review

Scenario: Lex needs to assess whether an organization appears ready for a compliance requirement.

Intelligence behavior:

  • Loads Organization certifications, licences, directors, and profile status.
  • Applies compliance-readiness reasoning.
  • Flags missing evidence.
  • Requires human review before any compliance conclusion is treated as final.

Business value:

  • Compliance work starts with evidence.
  • AI supports, but does not replace, governed compliance decisions.

Example 3: Proposal Evidence Selection

Scenario: Atlas prepares a proposal response.

Intelligence behavior:

  • Uses Organization past projects, services, capabilities, references, and certifications.
  • Suggests evidence most relevant to the opportunity.
  • Produces explanation and confidence.
  • Routes draft use through Proposal Domain and human approval if externally submitted.

Business value:

  • Proposal quality improves while ownership remains clear.

Example 4: Execution Request With Approval

Scenario: Ari recommends starting a bid workflow.

Intelligence behavior:

  • Creates a reasoning session.
  • Explains why the bid should proceed.
  • Evaluates guardrails.
  • Requires customer approval.
  • After approval, emits ExecutionRequested.

Business value:

  • AI can coordinate execution without bypassing human leadership.

Example 5: Learning From Rejected Recommendation

Scenario: Customer rejects an AI recommendation.

Intelligence behavior:

  • Records rejection reason.
  • Updates AI Memory.
  • Adjusts future recommendation context.
  • Publishes analytics event.

Business value:

  • Continuous learning improves future reasoning and customer trust.