AI is everywhere, yet its potential is realized almost nowhere. Despite the exploding number of GenAI tools, the disconnect between expectations and reality remains significant. AI-powered automation must unlock the potential of the human workforce, not by mimicking but extending human capabilities.Unlike the first wave of GenAI limited to generating answers or content, the new wave of AI can act—moving beyond information to action. This is Agentic or Agent AI, able to function as a digital worker capable of executing tasks, collaborating with humans, and dynamically adapting to new challenges. Butfor AI to be trusted to take action, it must be a “glass box”—actionable AI needs to explain its reasoning clearly for every action it takes, rather than operating within a black box as it typically does today.
This is the promise of Human-Centric Automation—ensuring every automated outcome is observable, explainable, and accountable. Leveraging combined forces of Agentic AI and Decision Intelligence, Human-Centric Automation delivers human-like capabilities: the same work as performed by humans but with the efficiency, accuracy, and predictability otherwise only possible through automation.
JOIN US FOR AGENTIC AI + DECISION INTELLIGENCE—an exclusive one-day seminar presenting real-world examples and success stories demonstrating compound efficiency gains of over 500%, reduced operating costs by 20X, and automating 70% of previously manual knowledge work!
Through intensive but engaging discussion, this seminar will present how Agentic AI combined with Decision Intelligence enable Agents to work smoothly with humans, while ensuring both transparency and adaptiveness. We will explore frameworks including Cognitive Architecture and the OODA Loop to focus design efforts the creation of Agents able tackle real-world challenges and integrate harmoniously into social environments, leveraging new capabilities such as complex problem-solving, adaptation, learning, and natural human-like interaction.
You will learn powerful concepts such as Retrieval-Augmented Generation (RAG) and Directed Acyclic Graphs (DAG) able to boost the powers of Agentic AI with a durable infrastructure for scheduling and managing more elaborate jobs by specifying clear dependencies and rules of execution while making Agents more intelligent with the context of facts and information from both a well-defined knowledgebase and real-time external data/content sources. Also explored will be Named Entity Recognition (NER) and Natural Language Processing (NLP) as part of enabling Agents to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, and others business objects.
Addressed will be regulation released over the last two years mandating transparency, bias reduction, and public trust in AI used for critical areas of government, such as the White House Executive Order on Safe, Secure, and Trustworthy AI, the Office of Management and Budget (OMB) Circular A-11 and the Federal Trade Commission (FTC) updated guidelines that further emphasize preventing algorithmic bias and deceptive AI practices across areas such as finance and healthcare.
Participants will also engage in a high-level Return on Investment (ROI) analysis to identify potential automation opportunities within their organizations. You will learn how to prioritize processes and operational areas that are most suitable for automation based on ROI potential and feasibility. By the end of the seminar, participants will have gained valuable insights into the automation potential of specific targets, empowering them to guide their digital transformation strategies and develop effective roadmaps for implementation
WHO SHOULD ATTEND...
This one-day seminar is ideal for decision-makers, IT leaders, operations managers, and others involved in digital transformation or business process automation. Whether you are already implementing automation or just exploring the possibilities, this session will provide practical insights and actionable strategies to help you scale and succeed.
- Business Leaders, Decision-Makers & Innovation Officers seeking to understand how Agents can transform operations, to improve efficiency and productivity, and enable more effective decision-making.
- Chief Technology Officers (CTOs) & Chief Information Officers (CIOs) looking to leverage AI-powered automation to drive innovation, improve efficiency, and reduce operational costs.
- AI & Data Science Practitioners seeking to leverage next wave of AI development and how to implement agent-based systems as part of AI-powered automation and decision-making.
- IT Managers & Engineers wanting to gain insights into the technical frameworks required to integrate Agentic AI into their company’s digital infrastructure.
- Internal Consultants & Service Providers seeking to deepen their knowledge of agent-based systems and adopt tools and methods to deliver advanced AI-driven capabilities as part of your service offerings.
WHAT YOU WILL LEARN…
Overcoming Process Complexity: Discover how human-centric automation can help you tackle complex workflows, streamline operations, and improve decision-making – learning the same patterns already used to achieve over 500% efficiency gains while maintaining accuracy and compliance
Understanding Cognitive Architecture: Understand the Cognitive Architecture as a blueprint for designing Agents that emulate human-like cognition, function independently, adapt to new conditions, and perform tasks efficiently.
Leveraging RAGs & DAGs: Learn how DAGs and RAG contribute to Agentic AI provides insights into the mechanisms that enable Agents to plan actions efficiently and generate accurate, context-aware responses.
Decision Intelligence & Rule-based Decision-making: Understand how to navigate multi-step reasoning flows and complex decisions, ensuring that every automated outcome is observable, explainable, and accountable.
Real-World Use Cases & Success Stories: We’ll share powerful case studies highlighting how AI, RPA, and Decision Intelligence can transform high-volume tasks and improve operational performance, with examples involving the processing of millions of documents, handling millions of queries, and automating complex work.
Harnessing GenAI & Document Automation: Learn how to harness the power of GenAI in extracting insights, automating document workflows, and reducing manual data entry. We’ll explore how AI can classify, extract, and process unstructured data from documents, emails, and chats, freeing your teams to focus on higher-value tasks.
Key Technologies Driving Change: Gain insights into the enabling technologies that power these AI-driven transformations. Learn how AI-based identity resolution, machine learning, and intelligent document processing (IDP) can enhance accuracy and drive efficiency in your business.
Automation ROI & Potential Benefits You Can Anticipate: Learn to calculate the ROI of automation initiatives, including how AI has helped companies reduce operating costs by 20X and how to achieve similar outcomes.
How to Get Started & Where to Begin: Participants will walk through a framework for applying a high-level Return on Investment (ROI) analysis of potential automation targets as well as prioritizing the processes and operational areas best suited for automation based on ROI potential and feasibility.
ADDITIONAL BENEFITS FOR PARTICIPANTS…
Semin
arparticipants will receive a signed hardcopy of “Gigatrends: Six Forces That Are Changing the Future for Billions” (2024 Post Hill Press) co-authored by lead instructor Nathaniel Palmer and reached #1 for AI and Machine Learning on Amazon.com
In addition, all participants will receive:
¨ E-Book on How to Master Agentic AI & Human-Centric Automation
¨ 60-Day Curated Learning Plan + Weekly Touch Points with Seminar Instructors
¨ Assistance With Proof-Of-Concept Development & Business Case Development
ASSOCIATION SPONSOR:
IRPA AI is the largest independent association and industry body of executives focused on RPA, Intelligent Automation and Enterprise AI.
