After all the hype over artificial intelligence, only one in four companies have cracked the code and are finding real value. Most are still stuck, unable to translate experiments into real business impact. So what sets the leaders apart? They’re using BCG’s three AI value plays, Deploy, Reshape, and Invent: deploying the technology for immediate productivity gains, reshaping critical functions, and inventing new revenue streams by developing novel products and services.

For these high-achieving companies, the true value of AI lies in end-to-end transformation. Leaders understand that AI supports business strategy—and they are finding real-world results by thinking big, using AI responsibly, and keeping a clear focus on value that goes beyond productivity. Functional leaders are at the heart of this change. By reshaping critical functions—including finance, operations, HR, IT, and more—executives can boost efficiency by up to 50% and generate significantly higher ROI.

But achieving this level of transformation requires more than adopting new tools. It demands a commitment to behavioral change, a people-centric focus, and sustained investment in foundational capabilities. Here’s how leaders can build future-ready functions and make AI pay off.

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The People Leader’s Guide

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The Finance Leader’s Guide

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The Technology Leader’s Guide

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The Operations Leader’s Guide

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The Risk Management Leader’s Guide

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The Sales Leader’s Guide

The Leader’s Guide to Transforming with AI | People logo image

The People Leader’s Guide

What’s the Challenge? HR at Top Speed.

Chief human resources officers are facing unprecedented demands—especially when it comes to AI. There’s a lot to get right, from upskilling the workforce to fostering behavioral change. The ongoing tech-talent shortage doesn’t make things easier. But if you want to shape your HR practices for the future, you need a well-designed AI strategy.

What’s Possible? The Impact of AI.

Early adopters of GenAI in HR are starting with lower-risk opportunities that offer higher near-term productivity gains. Upskilling the organization is becoming a critical part of HR’s strategy—along with engaging AI responsibly. But it’s worth it, because your talent will shine as you achieve dynamic, agile AI deployment that’s aligned with business needs. It’s all about aiming for the North Star: AI-supported talent ecosystems and human-machine collaboration driven by behavioral science.

Where Do I Start? Transforming HR with AI.

HR teams can take steps now to bring AI into their function:

  • Build an integrated GenAI roadmap toward strategic HR goals, such as better recruiting and using AI to support administrative tasks.
  • Work with leadership to chart the enterprise-wide transformation journey.
  • Upskill staff throughout the business and get them experimenting with everyday tools, custom GPTs, and agents.
  • Develop guardrails and manage your data to ensure responsible AI and compliance.
Technology, data, and HR expertise are all part of a comprehensive AI-powered strategy. Use AI to transform your talent management and position the company for sustained growth and resilience.

Explore the Future of HR

The Leader’s Guide to Transforming with AI | Finance | Logo

The Finance Leader’s Guide

What’s the Challenge? An Overextended Function.

CFOs face ever-increasing complexity in a world of shifting demands and uncertainty—and things are just as tough internally. Finance departments must do their best with an overworked staff, fragmented data, and Excel-heavy processes. It only gets harder when stakeholders across the business ask the finance function to unlock the full potential of the organization, essentially turning the CFO into a “chief performance officer.” With such a full agenda for finance leaders, AI can help them keep their teams focused on seamless financial management.

What’s Possible? AI for Insights and Efficiency.

CFOs and their teams can deploy GenAI-based self-serve dashboards that offer real-time insights into the factors impacting a company’s finances. Predictive AI is great for streamlining reconciliations, and the function can use AI to automate processes like supplier analysis and collections.

Powerful predictive models also help teams conduct planning, forecasting, and scenario analysis.

Where Do I Start? Key Steps for an AI-Powered Function.

Start the end-to-end transformation of your function by prioritizing high-value AI use cases. Investing in a modern tech stack is crucial, and you’ll want to rewire data hierarchies to support AI-driven workflows. Other musts:

  • Use off-the-shelf AI tools when possible, and build select use cases in-house.
  • Explore opportunities to better leverage the organization’s data.
  • Establish safeguards against hallucinations and ensure accuracy of results with human-in-the-loop review and GenAI testing.
  • Bring finance leaders and key business stakeholders into the transformation efforts—leadership buy-in will reinforce your AI strategy.
Next-generation finance functions are redesigning their operating models to incorporate AI. These teams are achieving higher levels of performance with financial steering capabilities that are better, faster, and more efficient.

Explore the Future of Finance

The Leader’s Guide to Transforming with AI | Technology | Logo

The Technology Leader’s Guide

What’s the Challenge? Deploying AI the Right Way.

Keeping pace with the evolution of AI is daunting. But it’s also necessary. Your competition will be building new AI platforms, improving their data capabilities, and rewiring processes. And spending on the technology will only grow, with a CAGR of ~30% expected in the next three years. There’s so much pressure to get AI deployed across the business—and it falls to IT to make sense of it all.

What’s Possible? The Ideal Tech Stack.

The payoffs of AI transformation can be huge—including a three- to fourfold increase in ROI.

A big first step is to put in place a horizontal tech stack with a dedicated AI layer that’s supported by a platform-based operating model. The effort to integrate AI throughout the company requires robust tech capabilities—from data orchestration to performance evaluation—so train your people on these areas. And commit to using AI responsibly, with clear governance and ethics.

Where Do I Start? Engaging AI at Scale.

Prioritize high-impact AI uses that show fast results:

  • Set objectives for the company’s AI deployment—say, all functions using LLMs in twelve months.
  • Understand the capabilities of the current tech stack; these are the areas that IT will augment with AI.
  • Invest in foundational capabilities, a strong data layer, and scalable infrastructure.
  • Plan to scale—going big is the best way to capture value from your investments.
Change can be the CIO’s ally. Take the lead in your company’s AI transformation—the value will be worth it.

Explore the Future of IT

The Leader’s Guide to Transforming with AI | Operations | Logo

The Operations Leader’s Guide

What’s the Challenge? Complexity in Today’s Supply Chain.

Every supply chain has snags. If you try to solve a delay in one area, chances are the problem shows up elsewhere: either downstream in manufacturing or upstream in procurement. And every stakeholder has a different level of digital maturity, so seamless efficiency is elusive. Then there’s the complexity of managing change—new partners, new employees, new suppliers.

What’s Possible? The Impact of AI.

Operations leaders can address these challenges by deploying AI across the supply chain. You can use powerful, emerging assets like digital twins and AI-enabled control towers. You make the most of data from suppliers and customers. Your teams stay in sync.

When delays occur, AI augments your team’s ability to pinpoint the problem and make tough decisions.

Where Do I Start? Transforming Supply Chains with AI.

Building a fully AI-integrated operations function calls for an end-to-end redesign. Adopting AI-based agents and deploying flexible data platforms are key starting points.

  • Use a people-first lens. Consider the ways users will engage with AI and how the technology will impact your customers.
  • Think big. Target high-impact transformations and ROI rather than quick wins or proofs of concept.
  • Get the basics right. Align your AI strategy with your data and tech foundations—these are the elements of success. Focus on data capture and harmonization.
  • Partner effectively. Get the operational teams and technology experts collaborating early to make sure that AI addresses an underlying business need.
  • Manage change. Involve your people in the transformation as you rethink processes and ways of working.
COOs, chief supply chain officers, and other operations leaders can establish resilient supply chains with the right investments in AI tools, data, and talent.

Transform the Future of Operations

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The Risk Management Leader’s Guide

What’s the Challenge? A World of Risk.

In today’s uncertain business environment, success depends on your ability to manage multiple risks effectively. Yet companies too often focus on the immediate crisis and miss the opportunity to be proactive about risk. And while many executives rightly see AI itself as a risk, they should also see the technology as a key piece of their risk management efforts.

What’s Possible? AI, Risk Management, and a Strategic Approach.

When you bring AI and GenAI into your organization, you want to lessen the risks of these technologies while achieving maximum value from their deployment. There are several aspects of a strategic and structured approach:

  • Managing AI Risks. Leaders must address challenges such as the security of AI solutions while ensuring regulatory compliance.
  • Enhancing Efficiency. AI can help strengthen core risk management processes and make them up to 50% more efficient.
  • Making Risk-Based Decisions. AI supports risk-based decision making that’s built on the right tradeoffs between risk and business benefit.
Where Do I Start? Using AI to Safeguard Your Business.

Risk managers can take smart steps to ready their function to deploy AI effectively:

  • Partner with functions throughout the business to get the most from AI deployment.
  • Adapt scalable risk platforms.
  • Train staff on new AI resources and promote an organization-wide mindset that prioritizes learning and growing with the technology.
  • Adopt a comprehensive, AI-enabled strategy that aligns technology, data, and human expertise to address the full spectrum of risks.
Explore the Future of Risk Management

The Leader’s Guide to Transforming with AI | Sales | Logo

The Sales Leader’s Guide

What’s the Challenge? The Evolution of Sales.

It’s no small task for teams to adapt to the evolving B2B landscape, with its shifting buyer expectations, longer sales cycles, and heightened competition. Companies must use GenAI and predictive AI responsibly if they want to find a way through these challenges. Sales leaders can take charge of their function’s future with a transformational mindset that’s focused on data, technology, and people and process management.

What’s Possible? AI-Driven Personalization.

AI will be a big resource for B2B sales teams that want to create highly personalized customer experiences and transform operational models. Imagine AI-powered sales assistants providing real-time insights, virtual solution engineers helping you manage complex product portfolios, and autonomous agents that serve customers around the clock. This vision calls for bold leadership and a well-defined strategic roadmap to bring AI into the sales organization.

Where Do I Start? Go for High-Impact Transformation.

Sales leaders need to take several ambitious steps with AI:

  • Drive outcomes. Define the North Star for your AI transformation in sales, and set clear business objectives that are linked to productivity and growth. Start with high-impact use cases, prove their value with initial tests, and scale up winners.
  • Unlock data and technology. Build a tech stack that combines GenAI with predictive AI to support decision making and automation across the sales cycle.
  • Rewire the operating model. Put AI into all of your everyday workflows. Compared to typical transformation, effective change management will be critical—90% of sales transformation success relies on leadership activation, sales team engagement, and robust training programs.
This transformation makes your function faster and sharper—and AI becomes key to your future.

Explore the Future of Sales

Tech + Us: Monthly insights for harnessing the full potential of AI and tech.

The People Part of Transformation

Getting started often isn’t the problem. Virtually all companies are experimenting with AI. But the real transformation hinges on people. Without strong, people-centered strategies, even the best AI initiatives can fall short. The pacesetters are guided by the 10–20–70 rule: 10% of a company’s efforts should be focused on algorithms, 20% on technology and data, and the remaining 70%—the lion’s share—on people and processes.

Finding the best fit for AI within your organization isn’t easy. When it’s used in the wrong way, for the wrong tasks, generative AI can make teams less effective. But when the technology is used in the right way, it doesn't just increase productivity—it expands capabilities and broadens the range of tasks employees can perform.

CLIENT SUCCESS STORIES
CLIENT SUCCESS STORIES
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Our Client Success Stories with Artificial Intelligence
For BCG, AI is both a strategic tool and an innovative solution to pressing global challenges. Our clients have utilized the power of AI to enhance productivity, deepen customer relationships, and drive sustainable competitive advantage.

Bringing in a tool as powerful as AI will demand much from your teams. Building new skills is key, but so is growing fresh ways of thinking and driving behavioral change. Spreading AI use across roles means building trust in AI and GenAI through establishing proper guardrails and implementing responsible AI practices while sparking excitement about how these tools can help your people thrive. AI handles mundane tasks—the toil that slows your people down—so that teams can focus on work they find fulfilling, strategic, and creative.

What Makes AI Pay Off?

Investments in people, talent, and culture are crucial, but what separates routine AI use from something more transformative? For one, combining predictive and generative AI is a big advantage—you'll have the best in analytic power and creativity. And leaders expect to generate significant, measurable value from these technologies—50% higher revenue growth and 60% higher total shareholder return than other firms.

What are they doing differently? Leaders stand out in three key ways:

  • They are more ambitious. Leaders set big targets and invest more of their budget and resources to digital and AI capabilities.
  • They focus on fewer efforts for greater ROI. Leaders invest strategically in a few high-priority opportunities to scale and maximize AI’s value. They focus on fewer use cases, but they put more money, resources, and effort into those opportunities.
  • They focus on the core. Leaders are using AI not only to strengthen support areas, but to transform essential business operations. These core functions vary across industries, like R&D in pharma or underwriting in insurance. The key is that they don’t shy away from those areas—because you can find real advantage there.

Are You Ready to Get Started?

The future belongs to those who embrace AI to unlock efficiency, pioneer innovation, and drive growth. But maximizing value from AI is a marathon, not a sprint. Leaders can change their own AI trajectories by reshaping critical functions—ultimately driving enterprise-wide transformation.