How Large Enterprises Become AI-First
EDUARDO JULIANELLI, AUTOU, AND LUCAS FERNANDES
JUL 08, 2026
Enterprises worldwide face the imperative to adapt to AI.
Some, however, have operated in the AI era for years. Nubank, Netflix, Amazon, Uber, and Mercado Libre are prominent examples.
What about traditional enterprises? Large multinational corporations with complex legacy systems and tens of thousands of employees?
How does an enterprise incumbent become truly AI-First?
The 3 Transformation Layers
The operational framework is unequivocal: centralize strategy, decentralize execution.
The Individual must have the latitude to deploy low-risk assistive agents following IT governance guidelines;
The Department must experiment rapidly and engineer structural business transformations;
The Organization must govern through an executive committee, aligning investments with corporate strategy.
T1 | The Individual
Empowering your team with AI tooling.
The Power User—the professional who masters AI tools—represents the agile edge responsible for quick wins. They resolve friction points and unlock the initial productivity leaps.
The scope of applications here is extensive:
Summarizing voluminous technical reports;
Automating complex spreadsheet calculations that consume half a workday;
Transcribing and extracting action items from meetings;
Generating structured document first drafts;
Querying documentation sets for rapid answers.
The list continues to expand.
This is the realm of immediate impact that compounds through widespread adoption.
T2 | The Department
Redesigning your department around AI capabilities.
The Champion—the specialist driving innovation—orchestrates the tier that executes structural business transformations. They coordinate the department's internal AI office.
The opportunities at this tier are profound:
Forecasting, modeling, and anticipating scenario outcomes;
Strategically triaging and routing cross-functional requests;
Automating multi-system end-to-end operational pipelines;
Monitoring mission-critical operations with intelligent triggers;
Surfacing deep operational insights about business health.
The leverage is extraordinary.
This is the realm of continuous operations that scales bottom-line impact.
T3 | The Organization
Accelerating the enterprise engine through coordinated AI.
The Committee—comprising board members, executive VPs, IT leadership, and Innovation directors—is the executive council providing strategic alignment. They guide and integrate cross-departmental AI programs.
The ultimate vision is an enterprise where synchronized data flows freely across business units, eliminating operational friction. Departments cease operating as disconnected silos.
Examples of seamless cross-enterprise coordination include:
A logistics disruption in a shipping route immediately alerts treasury to recalibrate the weekly cash-flow forecast;
A sudden sales spike for a specific SKU automatically issues raw material purchase orders directly to production plants;
A machine malfunction or assembly-line bottleneck instantly recalculates delivery SLAs within sales quoting systems;
A spike in customer inquiries regarding a product feature transmits root-cause diagnostics directly into developer backlogs.
The potential is boundless.
This is the realm of durable advantage that determines market leadership in the coming decade.
The Most Common Mistake Is...
assuming that upskilling individuals alone is sufficient.
A recent study surveying 1,550 enterprise executives showed that 73% already leverage AI regularly in daily workflows, yet only 10% consider AI central to how their business fundamentally operates. (Publicis Sapient, Jun/2026)
Organizations still have a window today to establish competitive advantage rather than settling for mere competitive parity.
Where to Begin?
Begin with an objective maturity assessment. It serves as an empirical benchmark to identify where your department stands and what initiatives demand immediate priority.
[01. PROCESSES] (Map & Optimize)
│
[05. METRICS] ── [AI-First] ── [02. DATA & TECH] (Quality & Access)
(Goals & Recom.) │
├───────────────┤
[04. GOVERNANCE] [03. PEOPLE & CULTURE]
(Rules & Trust) (Enablement & Change)AutoU AI Maturity Model
Score each category from 1 to 5 and benchmark your department against leading multinationals like Nestlé, L'Oréal, Johnson & Johnson, Stellantis, B3, and more.
👉 Access the AI Maturity Assessment via this link
Thank you for reading!
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