SRAI Book 8 · Chapter 1 · PU-B08-C01

Enterprise AI Architecture

Connect institutional mandate, observed work, information authority, integration, operational capability, risk controls and meaningful human accountability in a governed enterprise AI architecture.

01 / EXECUTIVE OUTCOMES

Turn AI capability into a governed institutional system.

  1. Reason from mandate and observed work before selecting technology.
  2. Separate observations, interpretations, risks, requirements and decisions.
  3. Map stable capabilities, value streams and information authority.
  4. Design layered AI services with explicit integration and trust controls.
  5. Preserve meaningful human authority for consequential decisions.
  6. Prioritize a reversible transition using transparent evidence.

02 / ARCHITECTURE SEQUENCE

Diagnose, structure, govern and evaluate.

01

Diagnose

Establish the mandate, evidence baseline, decision boundary and accountable owner.

02

Structure

Map functions, value streams, information assets, services and dependencies.

03

Govern

Define authority, controls, stopping conditions, escalation and review.

04

Evaluate

Test value, readiness, residual risk and sensitivity before scaling.

03 / PRACTITIONER-GROUNDED DESIGN

Architecture begins with institutional reality—not a catalogue of platforms.

The lesson translates durable insights from a real information-systems master-planning engagement for Senegal's national statistical organization into a modern enterprise AI framework.

The historical case is used as dated practitioner evidence, not as a current assessment of the institution.

GOVERNABILITY TEST
EvidenceWhat observation supports the requirement?
AuthorityWho retains the consequential decision?
ThresholdWhat measurable condition stops or revises the initiative?
ReviewWho examines the result, and when?
AI CAPABILITY

A model can generate or classify.

That capability alone does not establish institutional authority, reliable operation, accountable use or durable value.

INSTITUTIONAL SYSTEM

Architecture connects evidence to consequence.

A governable service joins approved information, controls, human authority, evaluation and an inspectable decision record.

04 / SRAI DECISION STANDARD

Architecture becomes evidence when its reasoning remains traceable.

  • Purpose, observations, assumptions, owners and evaluation are explicit.
  • The notebook makes prioritization weights and sensitivity inspectable.
  • Synthetic instructional data prevents unsupported institutional claims.
  • Human accountability does not transfer to a model or vendor.
  • Expansion occurs only when evidence supports value, safety and operational readiness.

VIDEO LESSON

Watch the complete Lesson 1 presentation.

Open on YouTube ↗

CONTROLLED RESOURCES

Read, reproduce, practise and review.

View the complete GitHub production unit ↗