Purpose
Provide the architecture structure that makes it possible to integrate, scale, and govern the transformation coherently, so that automation, AI, and agents evolve within a sustainable framework.
Includes
Canonical data model, structured integration, security by design, scalable platform.
What It Enables
- Coherence across processes, data, applications, and agents
- Orderly integration between systems
- Scaling without adding complexity
- Orderly evolution of the digital ecosystem
What Changes in Operations
- digital capabilities are designed as reusable components;
- information is structured in canonical data models;
- integrations are managed through architecture, not improvised;
- security and control are built in by design.
Deliverables
It relies on ILEA™: seven domains (Business, Agents, Applications, Data, Integration, Security, Platform) plus a cross-cutting AI meta-domain.
Indicators
- Fewer duplicated technology solutions
- Time to integrate a new system
- Reuse of digital capabilities
- Cost of technology evolution
Risks If Absent
- Technology fragmentation
- Isolated solutions that multiply
- Improvised integrations
- Disorderly growth of the digital ecosystem
Signs of Maturity
- The company shares common data models.
- New capabilities reuse existing components.
- Integrations follow defined principles.
- Technology evolution responds to a clear architecture.
Typical Quick Wins
- Define a canonical data model
- Consolidate integrations
- Identify reusable capabilities
- Simplify the application portfolio
Relationships
It is the foundation that makes it possible to scale automation, agents, and AI within the operating model.
Key message: Without architecture, digital transformation fragments. With architecture, it evolves and scales.
In Practice
- It lets capabilities grow without multiplying the tangle: data that means the same thing across the company, orderly integration, security by design, and reusable components.
- The sign that it exists comes down to one question: when the company needs a new capability, does it reuse or build from scratch?
That answer predicts the cost of the next five years better than any budget.
— Mauricio Peschard
IDT–ILEA Relationship
- IDT is the strategic transformation layer: it guides the evolution of the operating model toward an intelligent, lean, and governed architecture.
- ILEA is the architecture layer: it defines the structure of the desired (to-be) state.
- In short: ILEA defines the desired (to-be) state; IDT defines how to get there with intent, coherence, and value.
- They are independent, complementary models. Within IDT, ILEA underpins dimension 5.
- ILEA organizes architecture into seven domains (1. Business, 2. Agents, 3. Applications, 4. Integration, 5. Data, 6. Platform, and 7. Security) plus a cross-cutting AI meta-domain that strengthens them all.
IDT executes the transformation. ILEA enables that transformation to scale.
— Mauricio Peschard