Enterprise IT Strategy for AI-first organizations
Do you need to rethink your IT strategy and AI roadmap?
In this time of rapid technological disruption, legacy IT strategies cannot support modern business demands. As organizations invest heavily in AI, particularly agentic AI, many technology leaders struggle to translate boardroom ambition into measurable value and scalable, secure execution. Enterprise IT strategy aligns technology investments, enterprise architecture, AI capabilities, governance, and operating models with business objectives to accelerate growth, improve resilience, and create measurable business value.
Positioning new technology leaders for success
This guide for new technology leaders and CIOs offers a strategic framework for navigating the critical first 100 days and moving toward long-term success. Learn how to drive business growth and enterprise value through digital transformation, data modernization, and effective IT governance.
Learn more about the programHow can CIOs balance AI innovation, governance, and technology cost optimization?
Modern CIOs are expected to accelerate AI adoption, improve operational performance, optimize technology investments, and maintain AI governance across increasingly complex technology ecosystems. Technology executives are tasked with defining and executing a highly resilient enterprise technology roadmap that aligns complex innovation with overarching business objectives:
Empower diverse business units with autonomous AI tools while enforcing IT guardrails to secure your platform and data ecosystem.
Provide visibility into technology spend, balancing heavy AI infrastructure investments with technology cost optimization.
Focus on AI adoption at scale, performance, and tangible business outcomes of all digital investments.
Navigating the competing pressures of rapid innovation, cost containment and governance can challenge even the most sophisticated IT organizations. KPMG professionals can assist enterprise leaders in developing IT strategies that help drive measurable business value through our outcome-oriented IT strategy services.
Enterprise AI reality check
1
92% of leaders cite data security/privacy/risk concerns as a top factor that will influence their AI strategy.¹
What this means: Organizations need an AI governance framework and clear operating model before scaling AI.
2
Only 26% of leaders say that operating costs of AI systems are fully visible today.¹
What this means: Technology leaders need a reliable view of AI costs and value to make confident investment decisions, manage tradeoffs, and scale responsibly.
3
What this means: Organizations can consider new AI operating model concepts to help them move beyond individual use cases to widespread adoption.
¹ KPMG Quarterly AI Pulse Survey in the US, June 2026
KPMG is a leader in IT strategy, implementation, and AI‑enabled transformation
KPMG was named one of Forbes’ Best Management Consulting Firms of 2025 in the category of IT Strategy & Implementation and ranked #1 for quality of work in improving legacy IT infrastructure and #1 for quality of work in data & analytics, based on a survey of U.S. clients by Source.
In addition, KPMG was recognized as a Horizon 3 Market Leader in the HFS Horizons Report: Agentic Services, 2026—highlighting its ability to help organizations move from AI ambition to measurable, enterprise‑scale outcomes.
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