Reference architecture - illustrativeEnterprise Solution Blueprint

Enterprise AI Knowledge & Decision Platform

One structured Enterprise Solution Model, projected into every architecture view. Select any component to inspect its contract, dependencies, resources and decisions. This is what a solution looks like before a single line is deployed.

Solution ID: ESM-REF-AIKDP-001
Version: 1.4.0
Lifecycle: Architect Review
Architecture: Hybrid / Multi-Cloud
Primary Cloud: AWS
Secondary Cloud: Azure
Data Location: Client-controlled environment
Classification: Enterprise / Confidential
Status: Architecture Validated

Explore the model What a blueprint contains

One model, every view

Inspect the reference architecture.

The map, the inspector and every table below read from a single Enterprise Solution Model. Switch views, filter by layer or provider, and select a component to trace its dependencies.

Detail

The whole solution at a glance - major systems and how they connect.

Layer

Provider

Components

Business

Application

Data

Network

Security

Infrastructure

Operations

Governance

Component list (keyboard / screen-reader view)

Business

Application

Data

Network

Security

Infrastructure

Operations

Governance

Select a component

Pick any node on the map or in the list to inspect its contract, dependencies, resources and decisions.

Reference architecture - illustrativeNode positions and dependencies are modelled, not measured.

Resource inventory · ES-BOM

Every resource the solution requires, itemized.

The Enterprise Solution Bill of Materials lists each resource, its provider, environment, region and purpose - and links back to the component that needs it. Filter by any dimension.

Provider

Environment

Layer

Criticality

28 of 28 resources

Illustrative resource inventory

ID	Resource	Layer	Provider	Env	Region	Purpose	Criticality
RES-001	VPC	Network	AWS	PROD	ap-south-1	Network isolation	Critical
RES-002	Transit Gateway	Network	AWS	PROD	ap-south-1	AWS connectivity hub	High
RES-003	Site-to-Site VPN / Direct Connect	Network	Provider-Neutral	PROD	Hybrid	Hybrid connectivity to Azure / on-prem	Critical
RES-004	Container Cluster	Infrastructure	AWS	PROD	ap-south-1	Agent & service runtime	High
RES-005	Model Gateway	AI	AWS	PROD	ap-south-1	Model routing & fallback	Critical
RES-006	Agent Orchestrator service	AI	AWS	PROD	ap-south-1	Agent execution	Critical
RES-007	RAG service	AI	AWS	PROD	ap-south-1	Retrieval-augmented answering	High
RES-008	Vector Store	Data	AWS	PROD	ap-south-1	Embedding index	High
RES-009	PostgreSQL (managed)	Infrastructure	AWS	PROD	ap-south-1	Application & agent state	High
RES-010	Object Storage	Infrastructure	AWS	PROD	ap-south-1	Documents & artifacts	Medium
RES-011	Data Lakehouse	Data	Azure	PROD	Client Region	Enterprise data	High
RES-012	Data Warehouse	Data	Azure	PROD	Client Region	Analytics store	Medium
RES-013	Ingestion / ELT	Data	Azure	PROD	Client Region	Pipeline processing	Medium
RES-014	Semantic Layer	Data	Azure	PROD	Client Region	Governed metrics	Medium
RES-015	BI Workspace	Data	Azure	PROD	Client Region	Dashboards	Low
RES-016	KMS	Security	AWS	PROD	ap-south-1	Encryption keys	Critical
RES-017	Secrets Manager	Security	AWS	PROD	ap-south-1	Credential storage	High
RES-018	Identity Provider (SSO)	Security	Azure	PROD	Client Region	Authentication	Critical
RES-019	Zero-Trust Broker	Security	AWS	PROD	ap-south-1	Per-request authorization	High
RES-020	Observability Stack	Operations	AWS	PROD	ap-south-1	Logs / metrics / traces	High
RES-021	Backup & DR (cross-region)	Operations	AWS	DR	ap-south-2	Recovery target	High
RES-022	API Gateway	Application	AWS	PROD	ap-south-1	Edge entry & authz	High
RES-023	Enterprise Portal	Application	AWS	PROD	ap-south-1	User interface	High
RES-024	Workflow Engine	Application	AWS	PROD	ap-south-1	Task orchestration	Medium
RES-025	AI / Agent Gateway	AI	AWS	PROD	ap-south-1	Model access & guardrails	High
RES-026	Guardrail / Policy engine	AI	AWS	PROD	ap-south-1	Safety & policy	High
RES-027	Agent Memory store	AI	AWS	PROD	ap-south-1	Working memory	Medium
RES-028	Approval service	Governance	AWS	PROD	ap-south-1	Human-in-the-loop gates	High

Enterprise naming standard

A resource name that carries its own context.

Environment, provider, region, domain, service and role - encoded in a consistent, machine-parseable grammar. Standardized, but configurable per organization.

Grammar

{org}-{env}-{provider}-{region}-{domain}-{service}-{role}

Tokens

{org}: eaglesonOrganisation short code
{env}: poc, dev, stg, prod, dr
{provider}: aws, az, onprem
{region}: aps1, aps2, cin1Provider region short code
{domain}: ai, data, net, sec, obs, app
{service}: agent, rag, tgw, kms, ecs, vnet
{role}: runtime, store, gateway, index, monitoring

Examples

eagleson-prod-aws-aps1-ai-agent-runtime
Agent runtime (AWS)
eagleson-prod-aws-aps1-data-rag-store
RAG vector store (AWS)
eagleson-prod-aws-aps1-net-tgw-gateway
Transit Gateway (AWS)
eagleson-prod-aws-aps1-sec-kms-store
KMS key (AWS)
eagleson-prod-az-cin1-data-vnet-runtime
Data VNet (Azure)

Configurable per organisation

The grammar is standardized and environment-, provider-, region-, domain- and role-aware - but configurable per organisation. It is not the only valid convention.

Environment strategy

POC is not just a small production.

The same logical solution carries a different profile at each stage - data, availability, scale, security and cost all shift as it promotes toward production.

The architecture is environment-aware - each stage has its own profile.

Illustrative profiles

Dimension	POC	DEV	STG	PROD	DR
Profile	Prove the concept	Feature iteration	Production-like	Live service	Failover target
Data	Synthetic	Masked	Controlled	Production	Replicated
High availability	Low	Medium	High	High	High
Scale	Minimal	Development	Production-like	Production	Production
Security	Baseline	Standard	Strict	Enterprise	Enterprise
Cost posture	Minimal	Low	Medium	Full	Standby

Traceability

Every resource can justify why it exists.

Follow a requirement forward to the evidence that validates it, or trace a resource backward to the requirement it serves. The chain is derived from the model - not maintained by hand.

Requirement

REQ-001Enterprise Knowledge Search

Capability

CAP-001Knowledge Retrieval

Component

COMP-RAGRAG Engine

COMP-VECTORVector Store

COMP-EMBEDEmbedding Model

COMP-AIGWAI / Agent Gateway

Resource

RES-007RAG service

RES-008Vector Store

RES-025AI / Agent Gateway

Test / Evidence

TEST-001Retrieval accuracy test

Pick a resource to trace back to the requirement it justifies

RES-001 VPC · AWS
→
COMP-VPC Virtual Network (VPC)
→
CAP-003 Sovereign Data Boundary
→
REQ-003 Data Sovereignty

Traceability derived from the model

Architecture decisions

The reasoning behind the architecture, recorded.

Decision records capture context, the alternatives weighed, why one was chosen, and the trade-offs accepted - so the architecture can be understood and challenged.

ADR-001Adopt a hybrid AWS-primary / Azure-secondary architecture.

Context

Enterprise data must remain in the client-controlled Azure/on-prem environment while AI workloads favour AWS-managed services.

Alternatives

· AWS-only
· Azure-only
✓ Hybridselected

Reason

Data sovereignty plus existing client investment plus AI workload flexibility.

Trade-offs & consequences

− Higher network complexity
− Two operational planes
→ Requires VPN / Direct Connect / ExpressRoute
→ Cross-cloud identity federation

ADR-002Route all model calls through a Model Gateway with fallback.

Context

Model availability and latency vary; the platform must degrade gracefully.

Alternatives

· Direct SDK calls per service
· Single-provider lock-in
✓ Gateway with fallbackselected

Reason

Centralised quota, data-classification routing and failover without touching callers.

Trade-offs & consequences

− Extra hop / latency
− Gateway is a critical path
→ Gateway must be HA
→ Per-model observability required

ADR-003Require human approval before consequential agent actions.

Context

Agentic workflows can take irreversible actions; enterprise governance demands oversight.

Alternatives

· Fully autonomous
· Approval on all actions
✓ Approval on consequential actionsselected

Reason

Balances velocity with control by gating only high-impact steps.

Trade-offs & consequences

− Added latency on gated steps
− Requires clear action classification
→ Approval audit trail
→ Segregation of duties

ADR-004Keep the vector store and documents inside private networking.

Context

Confidential documents must not traverse public endpoints.

Alternatives

· Managed public SaaS vector DB
✓ Self-hosted in private subnetselected

Reason

Meets data-sovereignty requirement REQ-003.

Trade-offs & consequences

− More operational ownership
→ No public data-plane access
→ Backup responsibility in-house

Risk register

Risks named, rated and mitigated.

A serious architecture accounts for what could go wrong and what is being done about it.

Risks are tracked, rated and mitigated - not hidden.

Illustrative risk register

ID	Risk	Severity	Probability	Impact	Mitigation	Status
RISK-001	Hybrid network dependency	High	Medium	Data access unavailable if the hybrid link fails.	Redundant tunnels across two providers; monitored failover.	mitigating
RISK-002	Model provider dependency	Medium	Medium	Degraded AI responses on provider outage.	Model Gateway fallback route + secondary provider.	mitigating
RISK-003	Data quality drift	Medium	High	Retrieval and analytics accuracy degrade over time.	Pipeline validation, freshness SLOs, recall monitoring.	open
RISK-004	Cost escalation under scale	Medium	Medium	Inference and warehouse cost exceed budget at peak.	Token budgeting, autoscaling caps, cost guardrails.	open
RISK-005	Prompt injection / data exfiltration	High	Medium	Untrusted content manipulates the agent.	Guardrail input/output filtering, tool allowlist, egress controls.	mitigating
RISK-006	DR restore unproven at scale	High	Low	Recovery may exceed RTO in a real incident.	Scheduled full-scale restore tests; TEST-004 currently warn.	open

Trade-offs

No decision without a cost.

Each significant choice shows its benefit, its cost, the alternative rejected and the confidence behind the call.

Hybrid architecture

Benefit: Data sovereignty
Cost: Network complexity
Alternative: Cloud-only
Why not: Client data-residency requirement

Confidence: Architect review required

Self-hosted vector store

Benefit: No public data plane
Cost: Operational ownership
Alternative: Managed SaaS vector DB
Why not: Confidential documents cannot leave the boundary

Confidence: Architect review required

Model Gateway with fallback

Benefit: Graceful degradation
Cost: Extra hop + critical path
Alternative: Direct provider SDK
Why not: No centralised quota, routing or failover

Confidence: High

Human-in-the-loop approval

Benefit: Governance & auditability
Cost: Latency on gated steps
Alternative: Full autonomy
Why not: Irreversible actions need oversight

Confidence: High

Illustrative trade-offs

Architecture scorecard

A readiness signal you can interrogate.

Every score expands to the criteria behind it, the evidence supporting it, the open findings and the recommendations. A number you can question is worth more than one you can't.

Security92

Criteria

· Encryption
· Private networking
· IAM
· Secrets management

Evidence

SEC-001
SEC-002
SEC-003
SEC-004

Findings

⚠ Key rotation policy not fully defined

Recommendations

→ Define automated key-rotation cadence

Scalability88

Criteria

· Autoscaling
· Stateless services
· Queue buffering

Evidence

COMP-RUNTIME autoscaling
Model Gateway routing

Findings

⚠ Warehouse concurrency untested at peak

Recommendations

→ Load-test warehouse at 10× read concurrency

Availability90

Criteria

· Multi-AZ
· Fallback model
· Cross-region DR

Evidence

ADR-002
RES-021

Findings

⚠ DR restore not proven at full scale (TEST-004 warn)

Recommendations

→ Complete full-scale DR restore test

Observability89

Criteria

· Logs
· Metrics
· Traces
· AI cost/latency

Evidence

COMP-OBS
Model Gateway metrics

Findings

⚠ Retrieval-quality dashboards partial

Recommendations

→ Add recall/precision dashboards

Maintainability86

Criteria

· IaC
· Component contracts
· Versioning

Evidence

Naming standard
Version history v1.0–v1.4

Findings

⚠ Some tool integrations bespoke

Recommendations

→ Standardise tool adapters

Cost Efficiency79

Criteria

· Token budgeting
· Right-sizing
· Storage tiering

Evidence

Cost model
RISK-004 mitigation

Findings

⚠ Production estimate pending validation

Recommendations

→ Validate production cost under expected load

Compliance94

Criteria

· Data residency
· Audit trail
· Access controls

Evidence

ADR-001
SEC-006

Findings

⚠ Retention policy per data domain to confirm

Recommendations

→ Finalise retention per data facet

AI Readiness91

Criteria

· Guardrails
· Evaluation
· Fallback
· Approval

Evidence

COMP-GUARD
TEST-001
TEST-002
ADR-003

Findings

⚠ Continuous eval harness partial

Recommendations

→ Add automated regression eval on model changes

Grounded in policy & evidence

Scores reflect defined policies, validation rules and captured evidence - never an authoritative machine verdict. Expand any dimension to see the reasoning.

Quality gate & readiness

Ready for architect review - not 'production ready'.

Each domain passes or carries an honest warning. The solution advances through explicit readiness states, so 'configured' and 'proven' are never confused.

BusinessRequirements mapped to capabilities
ArchitectureDependencies defined across all components
SecurityTrust boundaries and controls defined
NetworkHybrid connectivity path defined
DataData flows, ownership and classification defined
AIModel dependencies, guardrails and fallback defined
OperationsObservability across logs/metrics/traces defined
ReliabilityDR restore test evidence pending (TEST-004)
CostProduction cost estimate pending validation
GovernanceApproval gates and audit trail mapped

READY FOR ARCHITECT REVIEW

2 items pending evidence before approval - readiness is demonstrated, not asserted.

Draft
Modeled
Validated
Architect Review
Approved
Build Ready
Deployed
Observed

This reference solution is atArchitect Review - modeled and validated, awaiting architect sign-off before build.

Design simulations

Test failure before production finds it.

Model outage, database failure, region loss, hybrid link drop, traffic surge - each scenario is walked through the architecture at design time.

SIM-01Design scenario

Primary model

Failure detected

Model Gateway

Fallback model

Alert raised

Audit recorded

Conceptual architecture simulation

Scenarios are modeled against the architecture at design time - they describe intended behaviour, not measured production guarantees.

Architecture drift

What was designed vs what is running.

Because the architecture is a model, the running system can be compared against it. Shown here as a concept - not connected to live infrastructure.

Desired architecture (ESM)ProductionObserved stateCompareDrift detected

Component	Desired	Observed	Status
Managed Database	Private access only	Private access only	Aligned
Vector Store	Encryption at rest enabled	Encryption at rest enabled	Aligned
Object Storage	No public bucket policy	Public read detected on one bucket	Drift
Key Management (KMS)	Automated key rotation	Rotation not scheduled	Drift

Conceptual - not live discovery

2 of 4 checks show drift in this illustration. Drift detection is a capability of the model, shown here conceptually - it is not connected to live infrastructure.

Versioning & Solution DNA

Architecture is versioned, not a static image.

The solution has a canonical identity and a lineage - v1.0 through v1.4 - with a concrete diff between versions. Like Git for enterprise architecture, without claiming to replace it.

Solution DNA

ESM-REF-AIKDP-001

Version: v1.4.0
Architecture: Hybrid / Multi-Cloud
Primary cloud: AWS
Secondary cloud: Azure
Classification: confidential

Lineage

v1.0.0→v1.1.0→v1.2.0→v1.3.0→v1.4.0

Canonical identity captures

01Business
02Capabilities
03Applications
04Data
05AI
06Infrastructure
07Security
08Network
09Operations
10Governance
11Cost
12Compliance

Because the identity is structured, the solution can be versioned, compared, cloned, extended and migrated - not reverse-engineered later.

Reference architecture - illustrative

Version history

v1.0.02026-02Draft
Initial cloud-only agentic RAG concept.
v1.1.02026-03Modeled
Added data platform, warehouse and BI.
v1.2.02026-04Validated
Introduced hybrid connectivity and data-sovereignty boundary.
v1.3.02026-05Validated
Added guardrails, approval gates and observability.
v1.4.02026-06Architect Review
Added fallback model, DR region and data classification.

What changed

v1.3.0 → v1.4.0

+Fallback ModelModel Gateway now routes to a fallback provider on failure.
+DR regionCross-region backup & restore target (ap-south-2).
+Data classificationPer-component classification applied across the model.
~Vector storeMoved from managed SaaS to self-hosted in private subnet (ADR-004).
−Public database endpointDatabase is now private-access only.

Versioned architecture - illustrative

GoldenGate build specification

The architecture becomes structured input to implementation.

A validated blueprint compiles into a human- and machine-readable specification - the handoff to EagleSON GoldenGate.

PROJECT
  name: enterprise-ai-knowledge-platform
  solution_id: ESM-REF-AIKDP-001
  version: 1.4.0

ENVIRONMENT
  target: production

NETWORK
  topology: hybrid
  primary_cloud: aws
  secondary_cloud: azure
  hybrid_link: vpn|direct-connect|expressroute

AI
  architecture: agentic-rag
  model_routing: gateway-with-fallback
  guardrails: required
  human_approval: consequential-actions

DATA
  source: client-controlled
  vector_store: private-subnet

SECURITY
  encryption: required
  private_networking: required
  identity: sso+mfa

OBSERVABILITY
  logs: required
  metrics: required
  traces: required

VALIDATION
  security: required
  backup_restore: required
  disaster_recovery: required

{
  "project": "enterprise-ai-knowledge-platform",
  "solutionId": "ESM-REF-AIKDP-001",
  "version": "1.4.0",
  "environment": "production",
  "network": {
    "topology": "hybrid",
    "primaryCloud": "aws",
    "secondaryCloud": "azure",
    "hybridLink": [
      "vpn",
      "direct-connect",
      "expressroute"
    ]
  },
  "ai": {
    "architecture": "agentic-rag",
    "modelRouting": "gateway-with-fallback",
    "guardrails": true,
    "humanApproval": "consequential-actions"
  },
  "data": {
    "source": "client-controlled",
    "vectorStore": "private-subnet"
  },
  "security": {
    "encryption": true,
    "privateNetworking": true,
    "identity": "sso+mfa"
  },
  "observability": {
    "logs": true,
    "metrics": true,
    "traces": true
  },
  "validation": {
    "security": true,
    "backupRestore": true,
    "disasterRecovery": true
  }
}

Reference specification - not deployable

This is the structured handoff to EagleSON GoldenGate - a reference example of the input to implementation, not a runnable deployment configuration.

Export the blueprint

The surfaces a full blueprint provides for downstream teams.

PDF

Executive + engineering package

Preview

Architecture JSON

The Enterprise Solution Model

Preview

YAML

Build specification

Preview

Resource Inventory

ES-BOM as CSV

Preview

Build Specification

GoldenGate handoff

Preview

Architecture Package

Everything, bundled

Preview

Export preview - demonstration only

These illustrate the export surfaces a blueprint provides. They are not wired up here - the working example is the JSON copy on the build specification above.

A validated model becomes structured input to implementation.

The blueprint is compiled downstream by EagleSON GoldenGate. The architecture is modeled and validated first - then handed off.

See how it compiles

Enterprise AI Knowledge & Decision Platform

Inspect the reference architecture.

Enterprise Users

Enterprise Portal

Identity & SSO

Zero-Trust Access

API Gateway

AI / Agent Gateway

Agent Orchestrator

RAG Engine

Embedding Model

Tools

Agent Memory

Guardrail / Policy

Human Approval

Workflow Engine

Model Gateway

LLM - Primary

LLM - Secondary

Fallback Model

Vector Store

Ingestion Pipeline

Lakehouse

Data Warehouse

Semantic Layer

BI / Analytics

Virtual Network (VPC)

Container Runtime

Managed Database

Object Storage

Key Management (KMS)

Secrets Manager

Observability Stack

Backup & DR

Transit Gateway

VPN / Direct Connect / ExpressRoute

Every resource the solution requires, itemized.

A resource name that carries its own context.

POC is not just a small production.

Every resource can justify why it exists.

The reasoning behind the architecture, recorded.

Risks named, rated and mitigated.

No decision without a cost.

Hybrid architecture

Self-hosted vector store

Model Gateway with fallback

Human-in-the-loop approval

A readiness signal you can interrogate.

Ready for architect review - not 'production ready'.

Test failure before production finds it.

What was designed vs what is running.

Architecture is versioned, not a static image.

The architecture becomes structured input to implementation.

Export the blueprint

A validated model becomes structured input to implementation.