EAINE Architecture Blueprint Builder

1 Choose your perspective

ExecutiveOutcome, affected parties, ownership, risk, investment, operating cost and the scale, adapt or stop decision.ArchitectureDomains, trust zones, shared components, interfaces, deployment, identity and failure boundaries.DeliveryAI SDLC stages, evidence, release digest, evaluation, operations, rollback and a 90-day path.

2 Select a governed industry scenario

Banking and insuranceSuggested pilot: Policy-grounded operations or decision-support assistantHealthcare and life sciencesSuggested pilot: Bounded administrative or professional-support workflowTelecom and manufacturingSuggested pilot: Maintenance or service-operations assistantPublic sectorSuggested pilot: Internal caseworker or knowledge assistantSaaS and digital productsSuggested pilot: Bounded customer-facing AI capabilityConsulting and servicesSuggested pilot: Engagement preparation or quality-review assistant

Scale AI-assisted decisions without weakening fairness, model risk control, explanation or audit readiness.

3 Name the use case optional, non-confidentialUse-case label

4 Select every applicable AI profile

Controls are additive. Multiple selections use the union of requirements—never the least demanding profile.

P-INT · Internal AIknowledge/data authority · internal accessP-EMB · Embedded AIruntime behavior versioning · release readinessP-HI · High-impact AIaffected-party participation · meaningful human authorityP-AGT · Agentauthority contract · least privilegeP-MD · Custom modeldata/feature lineage · experiment reproducibilityP-TP · Third-party AIdue diligence and data terms · security/evidence retention

5 Select an EAINE risk tier explicitly

This records your planning choice. It does not calculate or declare a formal classification.

R1 — Lower consequenceRisk-based peer review.R2 — Material consequenceSeparate evaluation and security/privacy review.R3 — High consequenceIndependent challenge, affected-party controls, segmented evaluation and rollback drill.R4 — Critical consequenceIndependent validation and non-waivable separation.

6 Set the human authority boundary

Human decidesAI advises; an accountable human makes the consequential decision.Human approves before actionAI may prepare an action; a named human authorises execution.Human supervises with interruptAI acts under live supervision with a tested stop path.Automated within a pre-approved boundaryAutomation is limited by purpose, permission, consequence, time and transaction limits.

7 Choose a deployment preference

DEP-001 · Single-region bounded deploymentApproved data and providers fit one region and recovery objectives permit regional restore.DEP-002 · Active-passive regional recoveryContinuity requires a pre-approved secondary region with equivalent controls.DEP-003 · Private runtime with external provider gatewayEnterprise data and tools remain private while minimized prompts use an approved external model.