Rethinking AI: Empowering Leaders to Drive Real Transformation in 2025

A New Year, A New Vision for Smarter AI Decisions 

As the year draws to a close, leaders across the world are reflecting on how they can drive innovation and growth in the coming year. With over 90% of organizations planning to expand AI adoption, the question isn’t if AI will shape the future but how to do it right. Yet despite the excitement, many leaders are still unsure about AI's true capabilities and how to use it strategically to maximize ROI.

This blog explores how leaders can bridge the gap between AI’s promise and its potential to drive innovation and maximize ROI.

This blog will break down:

1. What do leaders really think about AI based on recent studies?
2. The importance of combining left-brain and right-brain AI for real transformation. 
3. How Pega’s AI-powered tools like Pega GenAI Autopilot and Pega GenAI Blueprint help leaders make smarter decisions and prepare for an innovative year ahead. 

If you’re a leader looking to kickstart 2025 with smarter AI decisions, this is your roadmap.

What Business Leaders Are Thinking: Insights from Recent AI Studies 

Recent research reveals a significant disconnect between AI perception and AI reality among business decision-makers: 

• Overconfidence in Understanding AI: While 93% of leaders claim to have a good understanding of AI, only 65% can correctly define generative AI. 
• Pressure to Act: 58% of organizations rolled out AI as part of a broader digital transformation strategy, but 7% admit they adopted AI just because "everyone else was doing it." 
• Investment Wastage: Over 54% of respondents said part of their AI budget was wasted due to poor strategy.

Top Challenges Identified: 

• Lack of AI experience.
• Unclear use cases.
• Fear of falling behind competitors who are “using AI better”. 

Despite these challenges, leaders are optimistic. Over 74% believe AI can deliver transformational value within the next 5-10 years, provided they make smarter decisions moving forward.

Left-Brain vs. Right-Brain AI: Understanding AI’s Two Sides

To unlock AI’s full potential, leaders must understand the two sides of AI: 

1. Left-Brain AI (Rational & Analytical): This includes predictive analytics, decision-making systems, and AI tools that optimize operations using data and logic.
   • Example: AI recommending the "Next Best Action" for a sales team to close a deal. 
2. Right-Brain AI (Creative & Generative): This includes generative AI tools that create content, ideas, and visualizations.
   • Example: AI generating personalized marketing content or assisting with creative designs. 

The Future lies in combining both sides for smarter, end-to-end solutions. For instance, an enterprise could use right-brain AI to design customer journeys and left-brain AI to optimize engagement in real-time. 

Introducing Pega’s AI Tools: Smarter Automation for 2025

Pega provides powerful AI tools that combine decision-making and generative capabilities to help businesses transform their operations, improve customer experiences, and boost ROI. Here’s how leaders can leverage these tools: 

1. Pega GenAI Autopilot

What does it do? Automates repetitive tasks and workflows.

Example: GenAI Autopilot automatically resolves routine inquiries in a support center, such as updating customer addresses and freeing agents for complex tasks.

2. Pega GenAI CDH Assistant

What does it do? Enhances decision-making for customer engagement by identifying the “Next Best Action” (NBA). 

Example: For a telecom company, it suggests the best plan upgrade for each customer based on real-time data, improving retention rates. 

3. Pega GenAI Blueprint

What does it do? Helps design and optimize workflows by automatically generating process maps and AI-driven recommendations. 

Example: A supply chain team uses Blueprint to design a new inventory management process, reducing stockouts by 20%.

4. Pega GenAI Knowledge Buddy 

What does it do? Acts as an AI-powered assistant to retrieve documents and information efficiently. 

Example: An HR department retrieves resumes of candidates with specific skills in seconds, reducing hiring time.

5. Pega GenAI Coach 

What does it do? Provides step-by-step assistance to employees, improving performance.

Example: During training, GenAI Coach guides sales representatives through complex CRM tools, enhancing onboarding.

6. Pega GenAI Automate

What does it do? Enables end-to-end process automation with minimal human intervention.

Example: Automates insurance claims processing by verifying documents, approving claims, and notifying customers.

7. Pega GenAI Analyze

What does it do? Analyze data, identify patterns, and provide actionable insights.

Example: A marketing team uses GenAI Analyze to predict customer behavior and optimize campaigns, increasing ROI by 30%.

A Smarter Future: Why Leaders Must Act Now

As we enter 2025, business leaders stand at a crossroads:

• Will you continue using AI as a “faster horse”, or will you strategically integrate it to achieve real transformation?
• Will you rely on isolated generative tools, or will you harness both left-brain and right-brain AI to unlock enterprise-wide value?

Pega’s AI-powered tools provide the answers, helping leaders streamline operations, enhance decision-making, and drive innovation. By combining automation, AI decisioning, and generative AI, Pega enables organizations to achieve faster ROI and transform into autonomous enterprises.

Conclusion: Make 2025 the Year of Smarter AI Decisions

Step into 2025 with AI tools that combine creativity, logic, and strategy. With Pega GenAI, transform operations, accelerate ROI, and build a smarter enterprise. The time to act is now—make 2025 the year of transformational AI.  Tools like Pega GenAI Autopilot, Blueprint, and Analyze can help organizations start delivering real results and building a smarter, more efficient enterprise.

Let this be the year you unlock the full potential of AI and drive transformational growth for your business.

The choice is yours. Make 2025 count with smarter AI decisions and Pega GenAI.