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Enterprise architecture

Transform complexity into clarity and create sustainable business value.

Why enterprise architecture matters

The gap between the business and the evolving tech landscape is creating new pressures for IT leaders. They’re focused on several top priorities: defining the right enterprise tech strategy and target state architecture, understanding current architectural pain points, setting clear priorities, and evolving both architecture and governance to reduce complexity and tech debt. The goal is to create the flexibility and resilience required for AI-readiness and speed-to-market.

DATA

40%

of companies report enterprise architecture as a top contributor to tech debt, due to poorly planned architectural decisions.

54%

of companies strongly agree that their enterprise systems help them diversify into other geographies and industries. 

Only 13%

of executives are “extremely confident” that they have the right data strategies and the core digital capabilities in place to effectively leverage gen AI.

How AI is changing enterprise architecture

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AI is becoming a strategic lever

Many companies are shifting the proportion of IT budgets dedicated to strategic innovation, such as generative and agentic AI, by at least 6% year-over-year. Reducing run costs is key to making that shift.

AI is reshaping enterprise decisions

AI uncovers patterns and market trends, leading to data monetization; gen AI accelerates architecture by drafting models and insights. Together, they reshape decision-making and efficiency.

Strategic thinking is a must-have for architects

Today’s enterprise architects balance deep technological fluency with strategic thinking. They must tailor communication for different stakeholders, translating tech concepts across the C-suite while speaking the language of team leads and technologists alike.

Tech fluency is now a C-suite requirement

There must be an evolution from base-level understanding to technology fluency across the C-suite. Help leaders understand technology’s potential impact on strategy and make informed decisions.

Gen AI and agentic AI are reshaping architecture engineering

AI is the foundation for competitive advantage in the age of autonomy. Today’s architects use AI to automate routine tasks, accelerate design cycles and enable intelligent systems that collaborate with human engineers.

What you can do

Redefine and translate your vision into future-ready capabilities, aligning strategic investments with business goals. Assess the current state, identify gaps and bridge with value-driven initiatives. 

Create a future-proof, value-oriented enterprise architecture op model. Assess current capabilities, identify gaps and create a comprehensive framework aligned with business objectives. 

Define your digital core vision by focusing on digital platforms, data, AI and digital foundations. Build and implement an enterprise architecture around it that can respond to what your business needs, now and in the future. 

Use enterprise technology blueprints to test and prioritize your IT system upgrades across applications, data and infrastructure. Identify the holistic solutions that will resonate with the C-suite and realize your tech-led transformation.

Design, implement and transform legacy systems into modern, scalable and flexible architectures that integrate seamlessly across environments—public, private, hybrid, multi-cloud, edge.

Seamlessly integrate diverse systems and applications—public, private, hybrid, multi-cloud, and edge environments—reducing complexity, streamlining operations and enabling a scalable, resilient foundation for agility and performance.

Embed reliability and resiliency into systems through rigorous benchmarking, testing, monitoring and engineering—maintaining business continuity and accelerating recovery.

Our leaders

Andrew G. Long

Managing Director, Technology Strategy & Advisory and Global Lead – Enterprise Architecture

LinkedIn

Ezio Armando

Managing Director – Technology, Global Architecture Lead

LinkedIn