Agentic AI refers to AI systems that can autonomously take action, make decisions, and complete tasks by following goals or instructions—beyond just generating text. Non-technical professionals can use Agentic AI to automate repetitive workflows, summarize reports, manage tasks, extract insights, and simulate decision-making. This workshop introduces user-friendly interfaces and use cases where Agentic AI acts like a “digital colleague,” helping streamline operations, improve decision-making, and boost productivity across departments such as HR, marketing, finance, and operations.

Traditional GenAI tools (like ChatGPT) are designed to respond to prompts. The user sets a context and prompt and the interaction is complete. For further engagement, a new context and prompt is populated. Agentic AI systems go further—they plan, reason, and act across multiple steps using tools like ReAct, AutoGPT, and LangChain agents. This matters for business teams because Agentic AI can automate multi-step tasks (e.g., creating reports from databases, drafting emails based on trends) without constant human input. The workshop shows how Agentic AI unlocks new efficiencies and decision workflows, making AI more useful for real business impact—not just content generation.

This workshop helps business leaders understand and harness AI as a tool for data-driven decisions, scenario analysis, and workflow automation. Participants learn how to frame problems as AI tasks, evaluate risks, and use AI agents to simulate outcomes or generate business insights. Leaders walk away with actionable strategies on how to apply AI responsibly to strategic planning, operations, and innovation—enabling them to lead GenAI transformation confidently across functions without needing deep technical expertise.

Absolutely. The workshop is designed for non-technical users, using intuitive platforms and visual tools to demonstrate how Agentic AI works. Participants will build workflows using no-code interfaces and AI templates that do not require programming. You’ll explore how to create, test, and iterate on AI agents that support daily tasks like market research, content summarization, and cross-tool integration—enabling you to use AI practically without needing a background in data science or software development.

Participants will gain hands-on experience designing AI agents, structuring prompts, managing AI workflows, and using tools like LangChain, Zapier, or other no-code AI platforms. You’ll learn how to automate business tasks, evaluate AI performance, and understand key GenAI principles such as task decomposition, tool use, and risk awareness. These skills are immediately transferable to real roles—increasing your productivity, supporting smarter decisions, and enabling AI-augmented workflows across domains like marketing, HR, operations, and knowledge management.

Certifications are outside the scope of this program. However, the knowledge and skill gain may be useful in getting the certifications. Optional follow-up sessions or office hours may also be provided to support teams in refining prompts on their real-world applications. These post-training resources help teams internalize techniques and stay current with evolving best practices in prompting. Additionally, we undertake consulting assignments to support enterprises in customizing and deploying generative AI solutions tailored to their specific business needs—ensuring sustained impact beyond the training.

Yes. The workshop is built specifically for non-technical business leaders, executives, and functional heads who want to leverage GenAI but lack a coding background. It helps them explore AI’s business applications, evaluate opportunities and limitations, and lead AI adoption initiatives with clarity. Executives will understand how to align Agentic AI with KPIs, manage change, and make informed decisions about use cases, tooling, and investments. It is strategy-oriented and low on technical jargon—perfect for decision-makers.

Unlike generic GenAI programs that focus on content generation or theory, this workshop is hands-on, use-case driven, and tailored to enterprise scenarios. It goes beyond prompt writing to cover multi-step agent workflows, decision support, automation, and AI integration across business tools. With a focus on ROI, ethical considerations, and business strategy, equipping you to lead or participate meaningfully in AI transformation efforts.

Use cases include automating repetitive tasks (e.g., drafting reports, summarizing meetings), business intelligence (e.g., extracting insights from data), customer support (e.g., chatbots that take actions), and project management (e.g., agents that coordinate meetings, track status). Professionals in HR, marketing, finance, and admin roles can benefit from agent workflows that integrate with CRMs, calendars, databases, or document repositories. The workshop demonstrates these practical applications with hands-on examples tailored to your function.

The ROI includes improved productivity through task automation, better decision-making from AI-generated insights, and faster prototyping of internal tools without reliance on technical teams. Teams can reduce manual effort, cut operational costs, and innovate faster. The workshop also builds in-house capability and awareness, reducing the need for external consultants. It empowers your team to confidently explore AI tools, improving both immediate impact and long-term digital transformation initiatives.

Yes. The workshop includes guided, hands-on sessions using real Agentic AI platforms and low-code/no-code tools like LangChain agents, AutoGPT interfaces, Zapier-based workflows, or pre-built LLM tools. You’ll walk through use-case setups from scratch—designing tasks, assigning goals to agents, and evaluating output. No coding is needed, and the activities are designed to be intuitive and applicable across different business functions, ensuring you leave with practical experience you can apply immediately.

Absolutely. This workshop is tailored for managers who want to understand and apply AI without writing code. It teaches how to identify opportunities for AI automation, communicate effectively with tech teams, and manage AI-enabled projects. Managers learn to use visual interfaces, evaluate agent performance, and oversee AI implementations with strategic clarity. By demystifying AI and focusing on business impact, the workshop empowers non-technical leaders to become AI advocates within their organizations.