Reference Architecture

A capability‑aligned, governed blueprint for AI, agentic, and generative workloads.

Core Views

Logical, data, and runtime views aligned to enterprise constraints.

Capabilities
KPIs
Governance
Sustainability

Logical

Channels → Services → Orchestration → Agents → Models; anchored in capabilities and value streams, exposed via stable platform services and APIs.

Data

Domain data products with contracts, lineage, quality, privacy; vector/feature stores governed by policy and owned by capability stewards.

Runtime

Event buses, workflows, runtimes, inference endpoints, and guardrails; change loops integrate with EA governance and operational BI.

Logical View Diagram

Figure 1 — Logical view: channels, services, agent layer, models.

Data View Diagram

Figure 2 — Data view: domains, stores, lineage, and governance.

Runtime View Diagram

Figure 3 — Runtime view: events, orchestration, inference and policies.

Traceability, Governance, Sustainability

Tie architecture to capabilities, decisions, evidence of change, and responsible operation.

Capability Traceability

Map components to capabilities and value streams. Use overlays (value, risk, cost, KPIs) and surface them in BI for transparent decision‑making.

Data Governance by Design

Embed privacy, access, lineage, and quality policies into data products; clarify stewardship (RACI) and responsibilities per capability.

Observability & Evidence

Telemetry for apps, data, and agents; evaluation for LLMs/prompts; dashboards to show that change is delivered and risks are controlled.

Sustainability & Topology

Optimize for value, cost, and environmental load. Support public, private, and on‑prem deployments to meet regulatory and geopolitical needs.