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Deliver measurable value with AI — now
Artificial Intelligence
The organizations creating the most value from AI aren't necessarily investing more. They're making different decisions about where to focus, how work gets done, and how success is measured. Explore how PwC helps organizations accelerate AI enterprise transformation and turn AI ambition into business outcomes.
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Capabilities
Organizations create value from AI through four interconnected areas: strategy, people, technology, and execution. The organizations pulling ahead are making deliberate changes across each of them. Explore how PwC helps turn AI ambition into business outcomes.
AI strategy and transformation – Define where AI will create value and design the roadmap to realize it.
Generative AI services – Deploy generative AI responsibly to improve productivity and innovation.
Enterprise AI implementation – Build and integrate AI solutions grounded in your data and core systems.
AI governance – Establish controls and oversight to scale with confidence.
Industry AI solutions – Apply AI within the realities of your sector.
Set the direction. Follow the value.
Identify the highest-value AI opportunities, build the investment thesis, and create a roadmap tied directly to business outcomes.
Strategy capabilities
- AI enterprise strategy: Define your AI vision, priorities, and roadmap for business value.
- AI-enabled function transformation: Redesign business functions around AI to drive structural change, not incremental efficiency.
- AI value, investment, and M&A strategy: Prioritize AI investments and connect them to measurable business outcomes.
- Business model reinvention: Identify new ways AI can create value, revenue, and competitive advantage.
Trimble | How one company reinvented its business model and generated $1.4B+ in recurring revenue.
Invest in human ability.
Rethink work, develop AI capabilities, and prepare your workforce to thrive in an AI-powered future.
People capabilities
- Workforce transformation & organization design: Redesign workforce models, roles, and operating structures for an AI-powered future.
- AI talent strategy, upskilling, and capability development: Build the skills, capabilities, and AI fluency needed to accelerate adoption and business value.
- Readiness, adoption, and change enablement: Drive adoption and behavioral change that turns AI investments into lasting impact.
Chipotle | How agentic AI helped reduce time-to-fill by 75% and support hiring at scale.
Put enterprise AI to work.
Build the data, technology, and AI foundations needed to scale AI transformation across the enterprise.
Technology capabilities
- Data and AI infrastructure strategy: Build the data, platforms, and foundations required to scale trusted AI across the enterprise.
- Engineering for AI solutions and products: Design, build, and deploy AI solutions that solve real business problems and accelerate innovation.
- Enterprise AI application transformation: Extend AI across enterprise systems to improve decisions, automate work, and unlock new capabilities.
- Responsible AI and risk management: Embed trust, governance, and risk management into AI from the start.
Lucid | How AI-powered forecasting and scenario planning accelerated finance decision-making.
Measure what matters.
Scale AI with confidence through governance, value realization, performance management, and operational execution.
Execution capabilities
- AI program management, ROI, and value management: Measure, manage, and demonstrate the business value of AI investments.
- Assurance for AI: Build confidence in AI systems through independent validation, governance, and oversight.
- AI and agentic managed services: Operate and scale AI systems with the performance, reliability, and continuous improvement required for enterprise adoption.
- Tax for AI: Transform tax operations with AI to improve efficiency, accelerate insights, and create business value
Formula 1 | Reengineering race operations and logistics for efficiency and long-term growth.
Case studies
Innovation happens when technology and business strategy move together. Explore how we've helped organizations use AI, data, cloud, and emerging technologies to transform how they operate and compete.
Strategic alliances
Technology
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Recognition and awards
PwC rated as a leader in AI Consulting Services by Independent Research Firm
PwC announced that it was cited as a Leader in The Forrester WaveTM: AI Consulting Services, Q2 2026.
CIO 100 Award winner for tech innovation
PwC US is named a 2026 CIO 100 Award winner for Agent OS, recognized for putting technology to use in innovative ways to deliver measurable business impact at scale.
PwC named a Leader in the IDC MarketScape: Worldwide Artificial Intelligence Services 2025
IDC considers PwC's strategies related to client adoption, portfolio, growth, and innovation and R&D to be key strengths.
Dive deeper with our latest news and insights
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Archived webcasts
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Contact us
Chief AI Officer, PwC US
Chief AI Engineering Officer, PwC US
Assurance Transformation Leader, New York, PwC US
Jennifer Kosar
AI Assurance Leader, PwC US
Rohan Sen
Principal, Data Risk and Trust AI, PwC US
Vikas Agarwal
CTIO, PwC Advisory, PwC US
US and Global Head of PwC’s Cloud, Engineering, Data, and AI, PwC US
Advisory AI Leader, PwC US
Tax AI Leader, PwC US
Tax Innovation and Delivery Experience Leader, PwC US
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