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Architecture Intelligence

Don't just draw the architecture. Challenge it.

Because the architecture is a structured model, it can be checked, simulated and scored - surfacing the missing dependencies, exposed boundaries and unfunded scale that a diagram would quietly hide.

Policy engine

The findings a diagram won't give you.

Validation runs against defined architecture, security, reliability, cost and governance policies - each finding tied back to the rule it violates.

  • Missing dependency

    Agent requires vector retrieval, but no vector store is defined.

  • Security issue

    Production database is exposed outside the approved network boundary.

  • Reliability issue

    No disaster recovery strategy defined for a critical workload.

  • Cost issue

    Proposed architecture exceeds the defined monthly budget under expected scale.

  • Confidential data crosses an unapproved trust boundary.

Architecture simulation

What happens before production?

Test failure and scale scenarios against the architecture up front - pick a scenario and step through the modeled response.

Primary Model
Failure detected
Model Router
Fallback Model
Alert raised
Audit recorded

Scenarios are modeled and tested against the architecture before implementation - not discovered in production.

Scorecard

A readiness signal you can defend.

Scores are computed from the policies and evidence above - a signal to act on, transparent about where it comes from.

Security92
Scalability88
Availability94
Observability89
Maintainability86
Cost Efficiency79
Compliance96
AI Readiness91

Scores are not magic. They are computed from defined architecture policies, validation rules and captured evidence - and are only as meaningful as the policies behind them.

Trade-offs

Every decision states its cost.

A challenged architecture records not just what was chosen, but the benefit, the cost, the rejected alternative and the confidence behind the call - here, from the reference solution.

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

Validate the architecture before it becomes code.