Skip to content

We turn enterprise complexity into intelligent systems.

CMX helps organizations design, govern, and deliver AI-enabled architecture from strategy to production.

The problem is not the lack of tools. It is the lack of structure.

Enterprises accumulate platforms, processes, data, APIs, applications, AI initiatives, and governance constraints. Without a clear architecture, these elements create friction instead of momentum.

CMX creates the structure required to move.

We combine systems thinking, enterprise architecture, AI engineering, and delivery discipline to transform fragmented initiatives into coherent execution paths.

Governed architecture Diagram showing how strategy, business capabilities, data, AI, integration, and infrastructure are structured under a governance layer. TARGET ARCHITECTURE Governed architecture Strategy Objectives Constraints KPIs Priorities Business Capabilities ERP CRM SaaS Legacy RPA Data & AI Data Lake AI / ML MDM AI Agents MLOps Integration & Infrastructure API Gateway ESB Events Cloud Security Governance Decisions Risks Compliance Quality GOVERNED EXECUTION

We don't repair the past. We architect the future.

Most consultancies intervene to fix architecture mistakes. CMX designs systems that won't become the next legacy problem.

Evolutionary architecture Diagram showing how resilient architecture absorbs future changes without breaking. EVOLUTIONARY ARCHITECTURE TODAY Current architecture AI Agents v1 Governed APIs TOMORROW New AI models Regulations Emerging use cases FUTURE Resilient system Evolvable capabilities Continuous governance ADAPTS ADAPTS

Resilient agentic workflows

The AI agents we design are traceable, governable, and capable of absorbing evolution - new models, new regulations, new use cases - without breaking.

Integration that absorbs change

Our integration architectures are designed to welcome new systems, not resist change. Every API contract, every event flow is engineered for evolution.

Today's decisions, tomorrow's constraints

Every architectural choice becomes a structural constraint. CMX makes these choices explicit, traceable, and reversible - so today's architecture doesn't become tomorrow's blocker.

CMX designs for the system your organization will need in three years, not just the one it needs today.

An operating model, not a generic methodology.

The CMX method structures every engagement around six clear phases that connect understanding, architecture, and execution.

CMX Method: from ambiguity to execution The diagram presents the CMX method, from framing to scaling, with the expected deliverables for each phase. OPERATING MODEL From ambiguity to structured execution ITERATIVE LOOP 01 Frame Validated framing Defined scope 02 Map System map Risk matrix 03 Design Target architecture Design patterns 04 Execute Delivery plans Work packages 05 Govern Decision register Dashboard 06 Scale Reusable capabilities Active standards DELIVERABLES 01 02 03 04 05 06
01

Frame

Clarify the business context, objectives, constraints, and decision points.

02

Map

Represent the system: actors, flows, dependencies, risks, and architecture boundaries.

03

Design

Define target architecture, integration patterns, AI capabilities, and governance controls.

04

Execute

Translate architecture into delivery plans, implementation increments, and technical work packages.

05

Govern

Track decisions, risks, compliance, quality, and evolution over time.

06

Scale

Turn successful initiatives into reusable enterprise capabilities.

From complexity to a governed system.

Every CMX engagement produces an actionable architecture that connects strategic intent, technical capabilities, and operational governance.

Architecture connects strategy to execution A diagram showing how CMX connects strategic intent, business capabilities, architecture, AI, data, integration, execution, and governance. FULL ARCHITECTURE GOVERNANCE STRATEGIC INTENT Objectives Constraints KPIs Scope BUSINESS CAPABILITIES Client Mgmt Scoring Compliance Reporting Onboarding ARCHITECTURE LAYER Patterns APIs Events Contracts Standards AI / DATA / INTEGRATION ML Models AI Agents Pipelines Data Lake API GW EXECUTION Delivery Plans Increments Roadmap Teams Decisions Risks Compliance Quality Feedback loop

AI agents that execute with rigor, not on autopilot.

The agentic systems we design are not autonomous black boxes. They are structured, traceable, and governed workflows - built for real business processes.

Governed agentic workflow Animated diagram showing multi-agent orchestration with guardrails, tool calls, and human-in-the-loop validation. AGENTIC WORKFLOW Business request Orchestrator Coordination & routing A Analysis Agent Active D Data Agent Active X Action Agent Active Internal API Database External Service GUARDRAIL H Human validation Audit log Governed output

Multi-agent orchestration

Each agent has a defined role, bounded scope of action, and explicit coordination mechanisms.

Built-in guardrails

Human validation, output control, action limits, and systematic audit at every critical step.

Full traceability

Every decision, every tool call, every result is logged and auditable - end to end.

EURAFRIC BMCE Group

Enterprise and institutional clients

Proven capabilities in the domains that matter.

Enterprise architecture
Banking-grade AI governance
Integration design
Generative AI adoption
Agentic AI prototyping
Production delivery support

Let's structure your next intelligent system.

Whether you are launching an AI initiative, modernizing architecture, or aligning technology with execution, CMX helps you create the structure required to move with confidence.