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Architecture Governance, Powered by AI

Turn scattered standards into approved directives — the atomic unit of architecture governance — and let AI review every project against them.

Extracted from: Cloud Architecture Standards v3.2

All public-facing services must implement circuit breakers with fallback responses

Approved
ResilienceMicroservicesHigh severity

DIR-0042

Governance impact

12

Projects reviewed

9

Compliant

3

Findings open

Latest findings

Payment Gateway — no circuit breaker on upstream calls
User API — fallback returns 500 instead of cached response
Order Service — remediated, circuit breaker added

Compliance rate

75%

Architecture Governance Is Broken

Traditional approaches can't keep pace with modern delivery. It's time for a better way.

Reviews take weeks
AI reviews in minutes
Knowledge is fragmented
AI-generated directives
No audit trail
Full audit trail

Everything You Need for Architecture Governance

A unified platform that replaces scattered tools and manual processes.

AI-Powered Reviews

Submit a project and get a comprehensive architecture review in minutes, not weeks. AI evaluates every project against your approved directives.

Knowledge Base

The raw material for directives. Centralize standards, policies, and whitepapers so AI can extract candidate directives your architects approve.

Gate-Model Sessions

Structured review gates with configurable checkpoints, reviewers, and approval workflows.

Findings Tracker

Track every finding from draft to resolution. Assign owners, set deadlines, and monitor compliance progress.

Workspaces

Isolated workspaces per team or business unit with role-based access. Enterprise plans add SSO and per-workspace branding.

Dashboard & Analytics

Real-time compliance dashboards, trend analysis, and exportable reports for leadership and auditors.

Directives: the atomic unit of architecture governance

Docs can't be enforced. Directives can. cajeX exists to turn unstructured knowledge into approved directives, and to make every governance module operate on them.

Input

Unstructured knowledge

Standards documents
Policy PDFs
Architecture whitepapers
Confluence pages

High-volume, noisy, not enforceable

extract

Core asset

Directives

Atomic, structured, approved rules. The unit of architecture governance — what AI enforces, what auditors see, what architects are held to.

atomicstructuredapproved
apply

Consuming modules

Architecture governance modules

Architecture Sessions
Findings Management
Dashboard & Analytics
Reports & Compliance
Document Management

Every module produces, applies, or audits directives

Your knowledge base is the raw material — standards, policies, whitepapers, Confluence pages. Valuable, but unstructured and impossible to enforce at review time.

Directives are the distilled, structured artifact: atomic, approved rules that AI applies at review time and that every architecture governance module — sessions, findings, dashboards, reports — consumes to drive real governance work.

From Knowledge to Governance in Four Steps

Ingest knowledge, curate directives, review projects, and govern with a full audit trail.

Step 1

Ingest Knowledge

Import standards, policies, and whitepapers into the knowledge base — the raw material for governance.

Step 2

Curate Directives

AI extracts candidate directives from your docs. Architects review and approve them. This is the heart of the platform.

Step 3

Review Projects with AI

Projects are evaluated against approved directives, producing findings mapped to specific directive IDs.

Step 4

Govern & Audit

Architecture governance modules — sessions, findings, reports, dashboards — operate on directives to drive day-to-day governance.

Your AI Architecture Co-Worker

Powered by Claude (Anthropic) — purpose-built for architecture governance.

  • Evaluates projects against all approved architecture directives
  • Generates actionable findings with severity levels and steps to fix it
  • Creates draft directives from your existing knowledge base content
  • Generates structured findings mapped to specific directive IDs
  • Full audit trail of every AI interaction and recommendation
See AI in Action

INPUT

AI reviewing 15 directives...

OUTPUT

Why Teams Switch to cajeX

See how we compare to traditional enterprise architecture tools.

AI Review Pipeline

cajeX

Structured, submission-based AI reviews

Traditional EA Tools

General-purpose AI assistants only

Gate-Model Governance

cajeX

Configurable multi-stage gate workflows

Traditional EA Tools

Basic approval or no workflow

Workspaces

cajeX

Isolated workspaces with SSO & branding

Traditional EA Tools

Single-tenant or limited isolation

Self-Hosted Option

cajeX

Bring-Your-Own-Cloud via Docker + S3-compatible storage — run it in AWS, Azure, GCP, or on-prem

Traditional EA Tools

Cloud-only or expensive on-prem

Open Diagramming

cajeX

Open formats, no vendor lock-in

Traditional EA Tools

Proprietary editors

Industry Templates

cajeX

Vertical-specific (financial services, healthcare, pharma, retail, and more)

Traditional EA Tools

Generic EA frameworks only

Comparison reflects common limitations of traditional enterprise architecture platforms as of April 2026. Individual tools vary. AI Review Pipeline refers to a structured, submission-based AI review of architecture decisions — not general-purpose AI assistants or chatbots.

Get the Full Comparison Report

A detailed breakdown of how cajeX compares to traditional EA platforms — capabilities, deployment, pricing, and more.

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