AI Business Benefits: Why Enterprises are Investing in AI

Enterprise AI: Key Drivers and Business Benefits

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Artificial IntelligenceInsights

Published: May 5, 2025

Rebekah Brace

Rebekah Carter

Companies and vendors alike have been raving about AI business benefits for some time now. PWC believes AI will contribute more than $15.6 trillion to the global economy by 2030. McKinsey says generative AI alone could add up to $4.4 trillion in productivity boosts to more than 63 use cases.

But many companies still worry they’re not going to see a genuine return on their AI investment. After all, whether you’re experimenting with generative AI, agentic models, or pre-built copilots, there are always challenges to overcome.

The good news? As enterprise AI adoption soars, vendors are increasingly focusing on creating tools that genuinely solve real-world problems – and they’re sharing evidence of just how successful AI strategies can be.

Here’s what you need to know about the real economic impact of AI in the enterprise.

AI Business Benefits: What AI Does for Companies

The “total economic impact” of AI for enterprises varies depending on the type of intelligence you’re implementing, your approach, and your use cases. But the opportunities are incredible. Our own studies show that 47% of companies are already upgrading productivity with AI.

Clearly, business leaders are also seeing the value of investing early. IDC says that AI spending is set to reach $632 billion by 2028 alone.

Plenty of AI vendors have also published “TEI” reports with Forrester. Microsoft says Azure AI delivers a projected 284% ROI over three years. Google shared that customers of Vertex AI achieved a similar result – 397% ROI alongside improved employee retention rates.

So, what are the genuine impact of the top AI business benefits that companies can look forward to?

AI Business Benefits: The Productivity Boost

Look for “AI business benefits” online, and you’re bound to see mentions of improved productivity. Today’s companies are constantly looking for ways to boost output without hiring more staff or working longer hours, and AI-powered automation helps.

All kinds of AI tools can make teams more productive, from generative AI tools for content creation that produce and optimize content in a fraction of the time it would take marketing teams to coding tools that accelerate time to market for new apps.

Agentic AI tools can do even more – handling entire workflows so teams can focus on creative problem solving and strategic initiatives. AI offers an opportunity to turbocharge virtually every business process. Just look at Qualcomm. It deployed AI across numerous departments, empowering employees with automated solutions for tasks like data wrangling, report generation, and content creation. Over a month, those AI systems saved around 2,400 hours spent on mundane tasks.

But it’s not just saving time – Azure AI’s TEI report shows that AI can also increase work output by 150%. AI genuinely helps companies accomplish more at scale.

Efficiency and Cost Reductions

While productivity focuses on “getting more done,” efficiency is all about “getting it done better” – faster, with fewer mistakes, and at lower costs. These are AI business benefits you can measure directly on the balance sheet.

For instance, Google’s Vertex AI TEI report shows that companies can achieve an average of $5.1 million in savings just by switching from legacy systems to AI-powered solutions. A Ma’aden case study from Microsoft found that using generative AI in business workflows helped the company save 2,200 hours every month on common tasks.

AI also helps to reduce costs in other ways. AI systems can assist businesses with reducing waste in supply chains, tightening inventory controls, and even combating fraud. For instance, advanced anomaly detection algorithms can spot suspicious transactions at scale, leading to fewer costly false positives (where you might block a real customer) and quicker detection of genuinely fraudulent activity.

And from a purely operational standpoint, AI-driven forecasting can allow companies to optimize resource allocation, plan staffing schedules better, or even manage energy usage in data centers more effectively. All of these efficiency gains can turn into direct bottom-line wins, effectively offsetting the costs of AI adoption.

AI Business Benefits: improved Decision-Making

The impact of just one bad decision can be massive. That’s why companies are so desperate to gather and use more data in their decision-making processes. Unfortunately, while many of us are capturing huge amounts of data from ERP platforms, sensors, production lines, and CRM platforms, most companies struggle to turn it into actionable insights.

That’s where AI makes all the difference. AI tools can enhance decision-making through:

  • Real-Time Analytics: Instead of relying on weekly or monthly reports, companies can have near-instant analytics, identifying issues and opportunities faster than ever.
  • Predictive Modeling: AI can forecast trends—like demand spikes, shipping delays, or compliance risks—allowing proactive responses.
  • Scenario Analysis: AI can run multiple “what-if” scenarios, helping leadership teams visualize the outcomes of strategic decisions under various conditions.

In the Google Vertex AI TEI study mentioned above, companies achieved an average $7.6 million increase in incremental profit thanks to improved ML insights in decision-making strategies.

Improving the ROI of Collaboration with AI

AI has made its way into countless collaborative tools, from Microsoft Teams, to Monday.com. AI assistants in collaborative workflows can actually improve the ROI of team work. Look at Gainsight, for instance, which used Zoom AI Companion to streamline meetings and improve interactions between teams. The use of AI didn’t just save employees time on things like note summarization.

The company found that an AI Copilot allowed employees to spend 17% more in-meeting time on impactful, valuable discussions. That kind of improved collaboration can have a significant impact on innovation and business growth too.

When teams can work more effectively together and share data and insights, they’re more likely to come up with intuitive solutions to customer problems, and exciting new products.

AI Business Benefits: Improving Customer Experience

Happier, more loyal customers lead to stronger business profits. Countless studies into AI business benefits have shown that introducing AI into customer service strategies can improve ROI. For instance, the Total Economic Impact report for Boost.AI found that enterprises could benefit from a 293% ROI thanks to the ability to automate and enhance service interactions.

Other case studies have also revealed powerful insights. For instance, Freedom Furniture used Zendesk AI to implement an automated ticket triaging system into its process. The result was a 92% drop in manual triage hours and a 74% improvement in reply time. Customer satisfaction rates also increased by 17%, leading to more loyalty in the long term.

Meanwhile, AI can also help companies develop more intuitive self-help resources for customers, stronger onboarding experiences, and even useful, always-on assistants to guide them through the customer journey. This all leads to tangible results for your bottom line.

The Innovation Advantage: Exploring New Revenue Opportunities

We’ve already mentioned how AI business benefits power innovation by strengthening decision-making processes and aligning teams. However, as AI solutions become more accessible and customizable, there’s also an opportunity for companies to explore new revenue opportunities.

Look at Volkswagen, for instance. The automotive company integrated a virtual assistant powered by Google’s Gemini API into its MyVW app. Drivers of certain models can point their phone camera at the dashboard, and the assistant will instantly explain any warning lights, even providing how-to videos for quick fixes. This new app doesn’t just improve customer experiences.

It also gives Volkswagen an opportunity to partner with other vendors on things like in-app advertisements for car maintenance or insurance solutions. Meanwhile, simply by capturing user interactions, Volkswagen can identify new ideas for product enhancements down the line.

The Risks of Ignoring AI Business Benefits

Obviously, there is no shortage of genuine AI business benefits companies can take advantage of. If you’re not investing in AI already, you’re putting yourself at risk. Sure, the initial investment costs for AI tools can be high, and implementation can be complicated, but without a strategy, you end up with:

  • Competitive Disadvantage: As AI becomes standard in everything from logistics optimization to content creation, those without fall behind.
  • Inefficiencies: Legacy systems often rely on time-consuming workflows that AI could handle in seconds. Refusing to automate these tasks is costing your business money, both in labor hours and delayed decision-making.
  • Inability to Scale: Many industries now generate data that’s simply too big or fast for manual or traditional processing. An e-commerce site, for instance, can receive millions of website visits a month, each generating logs on user behavior and purchase patterns. AI can handle that data volume and deliver real-time insights; ignoring AI leads to “analysis paralysis.”
  • Missed Revenue Opportunities: Without advanced predictive analytics or personalization engines, you might not spot cross-selling opportunities or new segments. Over time, that can mean the difference between thriving and just surviving.
  • Employee Frustration and Talent Drain: If your competitors offer advanced AI tools that make employees’ lives easier, your talent may migrate there. People generally prefer working with modern systems that reduce drudgery and open creative or strategic avenues.

Unlock AI Business Benefits Today

AI business benefits are becoming increasingly obvious to businesses of all sizes. If you’ve been putting off adoption, waiting to see real-life insights into the economic impact of an AI investment, you now have the evidence you need to dive in.

Still concerned about AI implementation? Check out our top tips on overcoming common AI adoption challenges. Alternatively, check out this guide to learn more about how enterprises across industries are transforming operations with AI.

 

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