Shaping the Future: How Agentic AI Leaders Approach Transforming Business with Autonomous Decision-Making
In this article, you'll discover how Agentic AI leaders provide cutting-edge technology to make smarter decisions, drive innovation, and learn practical steps to bring these advancements to your own business.
Updated March 27, 2025 | Put It Forward | 4 minute read

Key Takeaways and Principles
-
Embracing Agentic AI as a Strategic Advantage: Leaders who adopt Agentic AI now will shape the future of business, leveraging AI as a core part of their strategy to drive innovation and efficiency.
-
Shifting Leadership Roles: Leaders must transition from oversight to orchestration, setting the stage for AI systems to act while keeping humans involved in critical decisions.
-
Human-AI Collaboration: Effective leadership involves ensuring AI systems align with company values and fostering collaboration between humans and AI agents to unlock AI's full potential.
-
Process Workflows and Integration: Leaders should focus on integrating Agentic AI into existing process workflows, automating repetitive tasks, and enhancing decision-making processes to maximize efficiency and productivity.
- Adoption Roadmap: Businesses should follow a phased approach to Agentic AI adoption, starting with understanding AI fundamentals, building custom AI assistants, and scaling AI workflows.
-
New AI Practitioners: The rise of Agentic AI requires new roles such as strategists, translators, and implementers who understand AI workflows and business integration.
- Ethical Considerations: Leaders must address ethical concerns such as data privacy and bias mitigation to ensure responsible AI deployment.
-
Continuous Learning and Adaptation: Leaders must be agile and open to learning, embracing change to navigate AI-driven disruption effectively.
Table of Contents
- Shaping the Future: How Agentic AI Leaders Approach Transforming Business with Autonomous Decision-Making
- Key Takeaways and Principles
- The Rise of Agentic AI
- Limitations of Traditional AI
- What is Agentic AI?
- Trends in Agentic AI: Emerging Opportunities
- Leading Agentic AI Companies
- Success Stories of Agentic AI Leaders
- Process Workflows and Integrating Agentic AI Systems: Success Steps
- Ethical Considerations: Responsible Deployment
- Strategies of Agentic AI Leaders: Getting Started with Agentic AI
- FAQs About Agentic AI Leaders
- What You Should Do Next
- Key AI Transformation and Leadership Assets
Agentic AI, a cutting-edge technology that enables predictive AI systems to autonomously make decisions and take actions, is revolutionizing enterprise automation and transforming business operations across various industries. This emerging field of artificial intelligence promises to boost efficiency, reduce the workload on employees, and enhance decision-making processes in companies of all sizes.

Elsa Petterson
Leadership success manager @ Put It Forward
In recent years, the business world has witnessed a significant shift with the emergence of Agentic AI.
This advanced form of artificial intelligence is transforming industries by enabling autonomous decision-making, learning from interactions, and adapting to new situations—much like a human agent would.
Agentic AI leaders and vendors are at the forefront of this revolution, leveraging these systems to drive innovation and efficiency across various sectors.
In this article, we'll explore how Agentic AI is reshaping business landscapes and what this means for companies looking to stay ahead.

Related Article: Intelligent Agent Examples

Traditional AI systems have been limited by their rigidity and lack of autonomy.
They often require extensive human oversight and cannot adapt quickly to changing environments.
This has hindered businesses seeking to automate complex tasks or make strategic decisions without human intervention.
The need for a more dynamic and autonomous AI solution has become increasingly apparent, setting the stage for the rise of Agentic AI.
Agentic AI systems represent a significant leap forward in artificial intelligence capabilities. These advanced systems can set goals, plan steps to achieve them and execute complex workflows across different applications with minimal human oversight. Key features include:
- Autonomous decision-making
- Adaptability to changing conditions
- Natural language understanding
Unlike traditional AI, which primarily analyzes data, agentic systems can reason, make decisions, and take actions independently. They function more like human employees in their ability to understand instructions and complete multi-step tasks.


Agentic AI systems offer significant advantages for enterprises, driving efficiency and productivity gains. These systems can automate complex, multi-step workflows, reducing the workload on human employees and allowing them to focus on more strategic and creative tasks. Active and emergent trends include:
-
Automation of Repetitive Tasks: Agentic AI is being used to automate routine tasks such as data entry, customer support, and inventory management. For instance, major retailers are leveraging Agentic AI to maintain optimal inventory levels, reducing storage costs while ensuring product availability.
-
Enhanced Decision-Making: Companies are utilizing Agentic AI for predictive analytics, improving forecast accuracy and customer satisfaction rates. This is evident in the use of AI-driven project management tools that streamline workflows and optimize resources.
-
Streamlined Workflows: Agentic AI is transforming project management by automating complex processes and enhancing operational efficiency. This includes AI-driven tools that predict and adjust workflows in real-time.
By taking over routine tasks, agentic AI not only boosts overall productivity but also enables companies to make better use of their human talent, fostering innovation and strategic growth.
Leading Agentic AI Companies
Agentic AI is rapidly evolving, with several agentic AI companies and vendors emerging as leaders in this transformative technology. These companies are developing innovative solutions that push the boundaries of AI capabilities, offering products and services that enable businesses to harness the power of autonomous AI agents. Here's a snapshot of some prominent players in the agentic AI landscape:
Company | Key Offerings | Benefits |
---|---|---|
Put It Forward |
Realtime integrated Agentic AI process flow management and built-in configurable algorithms |
Cost effective, configuration based with strong governance. |
Moveworks |
AI-powered employee service platform for IT support and HR |
Highly optimized for HR scenarios. |
Beam.ai |
Agentic automation platform for business process optimization |
Focused on execution at the process level. |
Agentic.ai |
AI players as a service for gaming and virtual environments |
Helps scale in gaming and VR environments. |
Adept |
AI models that can interact with software interfaces and APIs |
Abstracted models for working with APIs. |
qBotica |
Agentic AI workflows for business process automation |
Lightweight process focused automation. |
These companies are at the forefront of developing agentic AI systems that can understand complex instructions, navigate multiple applications, and complete tasks with minimal human intervention.
Their offerings range from specialized solutions for IT support to broader platforms for business process automation, showcasing the versatility and potential of agentic AI across various industries and use cases. However, this isn't the complete picture of what's needed to be successful with agentic AI and doesn't represent a complete view of the market.
Real-world examples illustrate the transformative impact of Agentic AI:
-
Salesforce's Einstein Copilot: Goes beyond basic CRM automation by proactively identifying sales opportunities and drafting personalized communications.
-
Walmart's Supply Chain Agent: Manages inventory across thousands of stores, reducing stockouts by 23% through autonomous adjustments and demand predictions.
-
Mayo Clinic's AI-Driven Diagnostics: Utilizes Agentic AI to process vast patient data while maintaining privacy standards, enhancing patient care through AI-driven diagnostics and personalized treatment plans.
Put It Forward offers a comprehensive platform for integrating agentic AI systems into existing business processes. The platform's Process Designer allows organizations to orchestrate complex workflows that span multiple systems, incorporating agentic AI agents seamlessly. To integrate agentic systems using Put It Forward:
- Use the Process Designer to map out end-to-end workflows, defining triggers and events for AI agent activation.
- Leverage the Integration Designer to establish tight connections between AI agents and underlying systems.
- Utilize the Composable Integration Auto Data Mapper to automatically map fields between systems, reducing manual effort.
- Implement Delphi Agentic AI Workflows to incorporate real-time predictive models and optimize decision-making within processes.
- Deploy conversational AI agents to simplify complex data transformations and business rule creation.

By following these steps, organizations can create powerful agentic AI workflows that enhance efficiency, reduce costs, and deliver rapid insights for data-driven decision-making. Put It Forward's platform enables businesses to harness the full potential of agentic AI while maintaining operational control and flexibility across their systems.
As Agentic AI becomes more prevalent, ethical considerations such as data privacy, bias mitigation, and human oversight become increasingly important. Leaders must ensure that AI systems align with company values and ethical standards, governance practices, and models addressing concerns through transparent practices and regulatory compliance.
A key aspect of Agentic AI governance is being able to replay why a recommendation was made in the context of an audit or regulatory inquiry.
Strategies of Agentic AI Leaders: Getting Started with Agentic AI
Agentic AI leaders prioritize several key practices to ensure successful implementation and ongoing optimization of their systems:
-
Understand AI Fundamentals: Educate your team on Agentic AI principles and capabilities.
-
Assess Business Needs: Identify areas where Agentic AI can add value, such as workflow automation or decision-making.
- Continuous monitoring and performance evaluation to adapt AI models to evolving business goals
- Robust testing and security protocols to identify vulnerabilities and protect sensitive data
- Enabling human-AI collaboration with mechanisms for human intervention in high-stakes decisions
- Investing in research and development to stay at the forefront of AI innovation
- Find offers that are customizable and scalable solutions that can grow with business needs
- Providing strong technical support and expertise to ensure smooth deployment and efficient issue resolution
Successful agentic AI leaders also focus on creating flexible, domain-specific agents that can be easily integrated across various systems and workflows.
They emphasize the importance of process mining and optimization to align AI agents with business objectives and ensure effective automation.
By adhering to these best practices, agentic AI leaders can maximize the benefits of their systems while mitigating potential risks and challenges.
FAQs About Agentic AI Leaders
Agentic AI refers to artificial intelligence systems capable of autonomous decision-making, planning, and learning. It integrates large language models with machine learning to tackle complex tasks independently.
Agentic AI works through a four-step process: perception (gathering data), reasoning (planning actions), action (executing tasks), and learning (improving from interactions). This cycle enables it to adapt to new situations and improve over time.
The primary benefits include enhanced efficiency, improved decision-making, and the ability to automate complex workflows. Agentic AI also allows for real-time adaptation to changing business environments.
Unlike traditional AI, which often requires human oversight and is less adaptable, Agentic AI operates autonomously and can adjust its strategies based on real-time data and feedback.
Agentic AI vendors provide innovative solutions that integrate AI into existing business processes, enhancing automation, decision-making, and customer service. They help companies leverage AI to stay competitive and drive innovation.
Businesses should focus on ethical considerations such as data privacy, bias mitigation, and ensuring human oversight. This involves implementing transparent practices and regulatory compliance to maintain trust and accountability.
Make Time For A Leadership Conversation:
Talk with someone who's been through it and helped organizations get to the next level.