Agent-ready enterprise architecture
Give AI the context to design your enterprise architecture.
Archilu connects your current architecture, dependencies, constraints, and decisions so humans and AI agents can prepare governed Architecture Design Documents together.
The core product loop
Context, reasoning, governance, and model truth in one workflow.
Demand. A business or technology request enters the architecture workflow.
Context. Archilu assembles the relevant current architecture, dependencies, owners, risks, and prior decisions.
Reasoning. An enterprise architect or AI agent prepares options, trade-offs, gaps, and a target design.
Decision. The ADD records the selected architecture decision and the accountability behind it.
Model change. Approved deltas update the Archilu architecture record; they do not deploy changes into external runtime systems.
What Archilu makes possible
Claude, GPT, Gemini, Mistral, or an internal agent can already reason about architecture patterns. Archilu gives them the enterprise-specific context they need to reason about your architecture.
Trusted enterprise context
Model capabilities, applications, interfaces, data, owners, providers, risks, and decisions in one governed architecture graph.
Architecture Design Documents
Use ADDs as the governed transformation object: AS-IS, context, gaps, options, target architecture, impacts, and final decision.
Agent-ready architecture
Let approved AI clients retrieve enterprise-specific context, reason over the landscape, and prepare structured design proposals.
Human-governed change
Dry-run sensitive target deltas, route them through policy and owner approval, and keep traceability on governed model changes.
How to evaluate an AI-era EA platform
Use these checks before a pilot or procurement process.
Can the platform give AI agents enterprise-specific context instead of generic prompts?
Does the architecture design object connect AS-IS, target state, gaps, impacts, and decisions?
Can sensitive model changes be simulated before they affect the architecture record?
Are owners, approvals, and decision evidence part of the architecture workflow?
Can business, IT, risk, and compliance work from the same governed context?
Clear boundaries
Strong enough for a bank, precise enough for due diligence.
Archilu governs architecture decisions and model changes; it is not an autonomous deployment engine.
AI can help reason, draft, and propose; accountable people remain responsible for decisions.
DORA-oriented evidence supports architecture mapping and governance; it is not a legal compliance guarantee.
See the ADD workflow in a live demo
Start from a real architecture demand and see how Archilu assembles context, supports AI-assisted design, and governs what becomes true in the architecture record.