Don't just read about ESStudio. Run a solution through it.
Take a realistic enterprise requirement, watch ESStudio model it, identify architectural problems, fix them, validate the solution and generate the resulting blueprint. You operate the model - the architecture responds.
See ESStudio think
A complete enterprise solution, modeled from requirement to validated blueprint.
This is the workflow. The interactive workspace below lets you operate each step yourself.
- Requirement
- ESM
- Architecture
- Validation
- Fix
- Re-validation
- Blueprint
- GoldenGate
Enterprise AI Knowledge & Decision Platform
Secure enterprise knowledge search and AI-assisted decision support. Sensitive data must remain in the client-controlled environment; AI workloads may run in AWS; the solution must support hybrid connectivity, production security, disaster recovery and a defined budget envelope. The initial architecture below has four deliberate problems - find them, fix them, and watch the model respond.
11 components · 9 dependencies resolved · 4 open findings · 1/5 requirements mapped · overall 69/100 (illustrative)
Customer Requirements
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Open
REQ-001
Enterprise Knowledge Search
Employees receive cited answers grounded in approved enterprise documents.
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Pass
REQ-002
Agentic Decision Support
Multi-step, tool-using workflows run with guardrails and human approval.
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Open
REQ-003
Data Sovereignty
Enterprise data stays in the client-controlled environment; no confidential data crosses an unapproved boundary.
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Open
REQ-004
Resilient Operation
The platform tolerates region failure without data loss beyond the agreed RPO.
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Open
REQ-005
Cost Within Envelope
The production architecture stays within the defined illustrative budget envelope.
4 architecture findings
10 resources - each a projection of the model, with a name generated from the enterprise grammar.
| Resource | Provider | Env | Region | Generated name |
|---|---|---|---|---|
| API Gateway | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-app-api-gateway |
| Agent Runtime | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-ai-agent-runtime |
| LLM Gateway | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-ai-llm-gateway |
| RAG Service | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-ai-rag-service |
| Guardrail Engine | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-ai-guardrail-engine |
| Managed Database | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-data-managed-database |
| Key Management (KMS) | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-sec-key-management-kms |
| Identity Provider (SSO) | AZURE | PROD | Client Region | eagleson-prod-az-cin1-sec-identity-provider-sso |
| Observability Stack | AWS | PROD | ap-south-1 | eagleson-prod-aws-aps1-obs-observability-stack |
| Client Data Platform | CLIENT | PROD | Client Region | eagleson-prod-onprem-cin1-data-client-data-platform |
Naming standard is organization-configurable.
Architecture decision records appear here as you choose architectural options.
No changes yet. Fix a finding to see the architecture diff from v1.0.0.
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REQ · REQ-003 Data Sovereignty
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CAP · CAP-003 Governed Data Access
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!
COMP · COMP-CONN Hybrid Connectivity
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!
COMP · COMP-TGW Transit Gateway
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!
RES · RES-CONN VPN / Direct Connect
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!
VAL · SEC-DATA-001 Trust Boundary Validation
Try breaking the architecture
Remove a component and watch validation, requirements and scores respond. Then undo.
Validated blueprint → GoldenGate
Resolve every finding to generate the build specification.
Architecture not yet validated.
4 open findings must be resolved before a build specification can be generated.
Why this matters
The point isn't that ESStudio found four problems.
The point is that those problems were connected to requirements, capabilities, components, resources and validation rules - and every fix propagated through all of them at once.
The diagram isn't the product. The model is. The architecture, the resource inventory, the traceability chain, the scores and the blueprint are all projections of one structured Enterprise Solution Model.
That connection is what makes the model useful: change one decision and validation, dependencies, cost and the generated build specification all stay consistent - because they are derived from the same source of truth, not maintained by hand.
The thinking behind ESStudio
Enterprise architecture should be an engineered, traceable and continuously evolvable system - not a collection of disconnected diagrams and documents.
Designed by an Enterprise Solution Engineer
ESStudio is the work of a single engineer building across the full enterprise stack - from requirements and architecture through AI, data, cloud and operations.
- Enterprise Architecture
- AI / GenAI
- Data & BI
- Cloud
- DevOps
- Infrastructure
- Security
- Forward-Deployed Engineering
You just designed an enterprise solution.
Customer requirement → Enterprise Solution Model → validated architecture → production blueprint → build specification. This is what ESStudio is designed to do.