Designing Workflows for Agentic AI

Designing Workflows for Agentic AI is a two-day advanced AIM short course in the Digital Skills faculty. Agentic AI is being introduced into how organisations operate and how work is carried out, yet most current workflows are not designed for how these systems function. Tasks are given to AI without clear structure or ownership, reviews are often missing, and it becomes difficult to keep track of who is responsible as agentic AI takes a bigger role in getting work done. This course equips professionals with the skills to design, evaluate and govern workflows involving agentic AI, learning how to map workflows, set decision points and apply oversight so these systems support work while maintaining clarity, human control and accountability throughout.

Designing Workflows for Agentic AI is built for non-technical professionals who are in positions that influence or contribute directly to the design, management or improvement of workflows where agentic AI is involved. It is particularly suited to those working in operations, product management, process improvement and transformation roles. You do not need a technical or engineering background to attend, the course is focused on workflow design, governance and accountability rather than AI development or programming. If your role involves shaping how work gets done and you are working alongside or preparing to work alongside agentic AI systems, this course is designed for you.

Agentic AI refers to AI systems that can plan, act and adapt independently to complete tasks, rather than simply responding to a single prompt or carrying out a fixed, pre-programmed instruction. Unlike traditional automation or generative AI tools like chatbots, which respond to individual inputs, agentic AI can break down a goal into steps, make decisions along the way, interact with other systems and adjust its approach based on what it encounters. This independence is what makes agentic AI powerful and also what introduces new challenges around accountability, oversight and risk management, all of which this course addresses directly.

Upon completion you will be able to: define how agentic AI reshapes work by distinguishing how these systems plan, act and adapt independently compared with traditional automation and generative AI; identify and assess operational, ethical and governance risks in agentic AI workflows, including accountability gaps, automation bias and unintended downstream impacts across teams, customers and systems; define decision boundaries for AI-enabled workflows by determining which decisions can be delegated, which must remain human-led and where accountability cannot be transferred; determine which tasks and decisions can be assigned to AI agents and apply constraints as risk, complexity, ambiguity and uncertainty change; design end-to-end agentic workflows that integrate AI actions, decision points and handovers, systematically embedding agentic capability within organisational processes; construct escalation paths, checkpoints and intervention mechanisms to manage risk and maintain accountability across interacting AI agents, including when systems encounter exceptions, ambiguity or failure modes; apply governance and risk management approaches to establish guardrails for monitoring, escalation and ongoing oversight of agentic AI in operation; and plan how to progress an AI use case from pilot to a governed agentic workflow with clear business outcomes, operating controls and risk management mechanisms.

Two days (9:00 am–5:00 pm each day) on campus in Sydney, Melbourne, Brisbane, Adelaide and Canberra, or as a live virtual classroom (9:00 am–5:00 pm AEDT/AEST). In some instances, virtual sessions are scheduled between 11:00 am and 7:00 pm to accommodate participants in Western Australia or those who prefer a later start time, specific session times are shown throughout the booking process. Closed cohort in-house delivery is also available, with content contextualised to your organisation's specific workflows, AI use cases and industry environment. AIM has partnered with over 500 organisations on tailored learning solutions across government, health, financial services, mining, manufacturing, construction and more.

AIM's Digital Skills faculty includes several AI courses, each addressing a different level and dimension of AI capability. AI Essentials for Business provides a broad, accessible introduction to AI concepts, tools and use cases for any professional. Responsible AI Leadership is a two-day program focused on AI governance, ethics and leadership at an organisational level. Designing Workflows for Agentic AI is the most operationally focused of the three, it moves beyond awareness and governance principles into the hands-on design and mapping of AI-integrated workflows, specifically for professionals whose role involves shaping how agentic systems are embedded into real work processes. It is the most advanced course in the Digital Skills AI suite and is best attended after building a foundational understanding of AI concepts.

An industry-recognised AIM digital certificate of attainment to print or share electronically on LinkedIn and other professional platforms. Designing Workflows for Agentic AI is priced at $1,980.00. For those who want to develop senior-level AI governance and technology strategy capability through a formally assessed postgraduate credential, AIM Business School's Graduate Certificate in Technology and Cybersecurity is the relevant higher education pathway. Contact an AIM Training Advisor on 1300 658 337 to discuss which program is the right fit for your role and goals.