v2.0 · Enterprise AI Control Plane · 2026-06

SD Panthers AI · Enterprise AI Control Plane

Govern · Control · Comply · Verify

Executive AI governance, operational control, industry compliance, and public trust verification

Healthcare · Government · Manufacturing · Regulated Enterprise

AIEdge Console · AI Control Tower · Compliance Manager · Trust Center

Enterprise architecture (buyer view)

Enterprise AI Control Plane Layer 1 — Governance & Risk Executive AI governance across the organization • AI Asset Registry • Shadow AI Intelligence • AI Risk Management • Procurement Packages • Executive AI Dashboard • Audit Evidence │ ▼ Layer 2 — AI Control Tower Operational control of AI systems and agents • Deployments • Human Review • Agent Governance • Workflow Lifecycle • Telemetry & Monitoring • Rollback & Release Control │ ▼ Layer 3 — Solutions Industry and domain-specific compliance • Accessibility Compliance • Clinical AI Compliance • Compliance Manager • Government AI Governance • Manufacturing AI Governance │ ▼ Layer 4 — Trust & Compliance Verification, certifications, audit readiness • Trust Center • Certificate Verification • Compliance Status • Regulatory Bundles • Security Posture │ ▼ Layer 5 — Platform Services Shared services powering all workloads • Identity & SSO • Billing & Credits • Entitlements • Access Control • Audit Logging │ ▼ Layer 6 — Cloud & Edge Infrastructure Execution and deployment foundation • Cloud Runtime • Edge Runtime • Device Registry • Telemetry Pipeline • Storage • Integrations

Three navigation depths

DepthAudienceExamples
PublicExecutives, procurement, first visitGovernance · Control Tower · Clinical AI Compliance · Accessibility Compliance · Trust Center
SolutionsProgram owners, compliance leadsDashboards · workflows · evidence · validation · monitoring · procurement packages
OperatorEngineering, security, advanced usersAPIs · runtime · Neural Glass · developer tools · advanced controls
Retired buyer framing: Applications → Operations Engine → Governance & Audit.

Current buyer framing: Governance & Risk → AI Control Tower → Solutions → Trust & Compliance → Platform Services → Infrastructure.

Name change: Operations Engine → AI Control Tower (website, architecture, procurement packages, government submissions).

Manufacturing & edge deployment depth (v1.0)

The sections below document safety-assurance layers for manufacturing, automotive, and edge AI deployments — technical depth under Layer 3 (Manufacturing AI Governance) and Layer 6 (Edge Infrastructure).

Executive outcomes: Reduce certification effort · reduce audit effort · reduce deployment risk · reduce OTA risk · accelerate release readiness.

Procurement-safe positioning: ISO 26262-aligned evidence management, traceability, gate reviews, waiver handling, and continuous compliance support for AI-enabled deployments.

Do not claim: ISO 26262 certified · full ISO compliance automation · autonomous certification platform.

Product packaging (sales)

SuiteScopeStatus
AIEdge CoreModel · device · deployment lifecycleShipped
AIEdge SafetyISO 26262 · ISO 21434 · SOTIF · ASPICE gatesShipped
AIEdge RuntimeNexus Runtime — telemetry · drift · monitoring · rollbackShipped
AIEdge CertOpsSafety manuals · traceability · audit packages · release readinessPilot

AIEdge Gateway + Nexus Runtime

Enterprise Users
       │
       ▼
AIEdge Gateway                    ← Auth · RBAC · Credits · Billing · Metering · Policy
       │
       ▼
Local AI Appliance (Mac Mini / Edge Server)
       │
       ▼
Nexus Runtime                     ← AIEdge Runtime engine
        │
        ├─ Model Registry
        ├─ Device Registry
        ├─ Deployment Registry
        ├─ Compliance Engine
        ├─ Audit Engine
        ├─ Policy Engine
        └─ Agent Runtime

Quantum Studio → Agent Package → Nexus Registry → AIEdge Deployment

Quantum Marketplace

Agents built in Quantum Studio deploy into Nexus Agent Runtime and consume AIEdge credits.

AgentCredits / runDeploy target
Safety Agent50Nexus Agent Runtime
Compiler Agent20Nexus Agent Runtime
Audit Agent40Nexus Agent Runtime
Release Agent30Nexus Agent Runtime
Drift Agent25Nexus Agent Runtime
Compliance Agent50Nexus Agent Runtime

Engineering: src/ai-assurance/ (Nexus internal) · src/compliance-engine/ · public API /api/aiedge/*

Executive summary

As AI moves from cloud to edge (vehicles, robots, cameras, medical devices), organizations face operational gaps: which model version runs where, who approved updates, how drift is detected, how compliance is proved to auditors, and how OTA updates maintain safety certification without full recertification every time.

Moat: Continuous Compliance + Delta Assessment + Deployment Assurance + Safety Reasoning (GSN graph).

The problem

Pain pointCurrent realityPlatform response
Which model on which device?Spreadsheets / incomplete CMDBShipped Model + device registry
Who approved the update?Email + JiraShipped Gate + UAOR review queue
OTA recertification2–4 weeks full auditShipped OTA compliance delta engine
Drift vs safetyInput drift onlyPilot → Runtime Safety Monitor (L6)
Audit evidenceManual collectionShipped ZIP audit package + signed certs
Safety reasoningDocument storagePilot Safety Case Graph (GSN)

Platform view (v1.0 — Layers 0–8)

Safety Program Management ← Layer 0 (Phase 2) │ ▼ Requirements & Traceability ← Layer 1 (forward trace shipped) │ ▼ Compiler / SDK Assurance ← Layer 2 (Phase 3) │ ▼ AI Model Assurance ← Layer 2.5 (Phase 2 — EU AI Act / PAS 8800) │ ▼ Functional Safety & Compliance ← Layer 3 (Gates + waivers shipped) │ Safety Case Graph = Phase 2 moat ▼ Release Readiness Engine ← Layer 4 (readiness API shipped) │ ▼ Edge Deployment Assurance ← Layer 5 (registry + OTA delta shipped) │ ▼ Runtime Safety Monitor ← Layer 6 (Phase 3 — operational assurance) │ ▼ Incident & Feedback Loop ← Layer 7 (Phase 2) │ ▼ Continuous Compliance ← cross-cutting (shipped) │ ▼ Audit & Certification Workspace ← Layer 8 (audit shipped; exec % Phase 3)

Three runtime assurance layers

LayerModuleOwns
Deployment AssuranceNexusRegistry, OTA hold, rollback target
Operational AssuranceNexusSigned telemetry, drift, fleet health
Compliance AssuranceCompliance EngineEvidence, gates, waivers, delta certs, audit export

Layer 0 — Safety Program Management

Safety Program Layer
├─ Safety Plan
├─ Safety Organization
├─ Safety Roles
├─ Safety Milestones
├─ Supplier Obligations
├─ Certification Roadmap
└─ Safety Reviews

Every ISO 26262 audit starts here: Who owns safety? Who approved it? Who signs releases? Who approves waivers?

Layer 2.5 — AI Model Assurance

AI Model Assurance
├─ Dataset Registry
├─ Training Registry
├─ Evaluation Registry
├─ Bias Assessment
├─ Robustness Testing
├─ Adversarial Testing
├─ Explainability Evidence
├─ ODD Validation
└─ AI Risk Assessment

Layer 3 — Safety Case Graph (GSN moat)

Claim
 ├─ Hazard
 ├─ Requirement
 ├─ Test
 ├─ Evidence
 ├─ Waiver
 └─ Approval

Most tools store documents. This platform manages safety reasoning — argument structure preserved for impact analysis and audit export.

ISO 26262 gate engine

Gate 0 Intake Gate 1 HARA/ASIL Gate 2 Requirements Gate 3 Verification Gate 4 Review Gate 5 Deploy Gate 6 Runtime Gate 7 Delta/OTA
DecisionMeaning
APPROVEAll controls satisfied
CONDITIONALApproved with ODD / scope / compensating constraints
HOLDPaused pending evidence
BLOCKHard stop
ESCALATESafety committee required (ASIL C/D + high-risk waiver)
WAIVEApproved deviation with documented risk acceptance

OTA compliance delta (key differentiator)

Traditional OTA often triggers full recertification. Delta assessment scopes re-verification to impacted gates.

Change typeImpactRequired gatesAuto-approve?
Architecture / output classesFULLGates 0–5No
Weights updatePARTIALGate 3Yes if accuracy retained
Confidence thresholdMINIMALGate 3 (partial)Yes if threshold raised
Bug fix (no behavior change)NONENoneYes — delta certificate

Layer 6 — Runtime Safety Monitor

Runtime Safety Monitor
├─ Drift
├─ ODD Violations
├─ Sensor Health
├─ Confidence Degradation
├─ Safety Rule Violations
├─ Fallback Activation
└─ Safety Escalations

Where AIEdge becomes operational — not audit-only.

Layer 8 — Certification Workspace (executive view)

ISO 26262      91%
ISO 21434      84%
ASPICE         88%
EU AI Act      73%

Open Waivers    7
Open Gates      4
Release Risk    Medium

Operational Design Domain (ODD)

{
  "odd_id": "ODD-HIGHWAY-V1",
  "restrictions": {
    "weather": ["clear", "rain_light"],
    "illumination": ["daylight", "twilight"],
    "geography": ["highway", "urban_streets"],
    "speed_range_kmh": [0, 85],
    "road_conditions": ["dry", "wet"]
  },
  "status": "ACTIVE"
}

Production API routes (shipped)

# Compliance Engine
GET  /api/compliance/engine/health
POST /api/compliance/safety-cases
POST /api/compliance/ota/assess
POST /api/compliance/artifacts/:id/gates/:gateId/evaluate
GET  /api/compliance/artifacts/:id/audit-package?format=zip
GET  /api/compliance/engine/certificates/verify/:certificateId
POST /api/compliance/jobs/waiver-expiry-run
GET  /api/compliance/release-readiness/:programId
GET  /api/compliance/incidents/:id/root-cause
POST /api/compliance/incidents/:id/requirement-amendments
GET  /api/compliance/governance/command-center

# Nexus (public: /api/aiedge)
GET  /api/aiedge/health
POST /api/aiedge/models
POST /api/aiedge/deployments
POST /api/aiedge/deployments/:id/approve
POST /api/aiedge/deployments/:id/rollback
POST /api/aiedge/telemetry
GET  /api/aiedge/dashboard

# Credits (AIEdge Gateway)
GET  /api/aiedge/credits/dashboard
POST /api/aiedge/credits/meter

Implementation roadmap

PhaseFocusStatus
Phase 1Traceability, gates, waivers, OTA delta, audit export, deployment registryMostly shipped
Phase 2L0 Safety Program, L2.5 AI Model Assurance, GSN, Supplier Portal, L7 incident root causeMVP shipped
Phase 3Runtime Safety Monitor, Certification Workspace, L4 release readiness, compiler assuranceMVP shipped
Phase 4Governance Command Center, multi-OEM customer templatesPlanned

Production runtime (today)

www.sdpanthers.com/aiAssurance          →  AIEdge Operations Console
www.sdpanthers.com/aiAssurance/architecture  →  AIEdge Platform architecture
www.sdpanthers.com/api/aiedge/*         →  Nexus Runtime (public)
www.sdpanthers.com/api/aiedge/credits/* →  Credit Manager (public)
www.sdpanthers.com/api/compliance/*     →  CertOps Engine
(legacy internal) /api/ai-assurance/*   →  aliases to /api/aiedge/*

Target markets

SegmentFitDriver
Automotive Tier-1 / edge AI siliconHighISO 21434, UN R155, OTA safety
Medical devicesHighFDA AI/ML action plan, IEC 62304
Industrial roboticsMedium–HighFunctional safety + fleet deployment
Smart cameras / retailLowerLower safety certification pressure

Summary

Aspectv1.0 status
ArchitectureFrozen — Layers 0–8 + Certification Workspace
Phase 1 pilotLive on xr-api-prod + Firebase hosting
Key differentiatorOTA compliance delta + continuous compliance
Strategic moat (Phase 2)Safety Case Graph (GSN) — safety reasoning, not documents
Platform completeness~85–90% of enterprise certification operations architecture