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Leading Human-Agent Teams

DURATION

1 day

PRICE (EXCL. GST)

Enquire for price

LOCATIONS/DELIVERY METHOD

Brisbane
Melbourne
Sydney
Virtual

EXAM

No exam

Design, govern and lead teams where human employees and AI agents work together to deliver outcomes

Leading Human-Agent Teams is a highly practical, one-day leadership development experience built specifically for tactical leaders, team leads, function heads, and operational managers who lead teams that include or are planning to include AI agents alongside human employees.

The course is structured around three modules that build progressively across the day.

Module 1 - The New Team. The morning establishes the landscape and the diagnostic foundation. Participants understand what human-agent teaming looks like in leading organisations, examine the evidence on what works and what fails, and produce an honest assessment of where their own team sits right now.

Module 2 - Designing the Team. The mid-session addresses the two most significant design challenges a leader faces when incorporating agents: how individual roles will shift and how to manage that human transition responsibly, and how to define explicit decision rights so agents operate with the right level of autonomy in the right places.

Module 3 - Running the Team. The afternoon converts all prior work into a communicable value framework and a committed 90-day implementation roadmap. Every participant’s roadmap is stress-tested by peers before they leave the room.

Participants who complete this course leave not just with understanding, but with six completed artefacts they can implement the following week.

Objectives

This course will enable participants to:

  • Assess their team’s current readiness for human-agent teaming and identify the specific risks and failure modes relevant to their stage of implementation
  • Map how individual roles in their team will shift as agents are incorporated, and plan the human conversations required to manage that transition responsibly
  • Design an explicit decision rights framework for their team, defining what agents handle autonomously, what humans review, and what remains human-only
  • Build a reference model for what a well-designed human-agent team looks like day to day, benchmarked against real organisational examples
  • Construct a value demonstration framework that articulates the business case for human-agent teaming in language that lands with their manager and stakeholders
  • Produce a sequenced 90-day implementation roadmap identifying their highest-value starting points and the success measures that prove the approach is working
  • Use AI as a genuine thinking partner throughout the design process, not as a task executor, but as a structured collaborator that surfaces, challenges, and refines their own thinking
Key topics
  • The human-agent workforce, what is actually happening in leading organisations in 2026, why it matters now, and why this is a tactical leadership challenge, not a strategic one
  • The business case, evidence on ROI, the failure modes that destroy value, and how leading organisations distinguish themselves from those achieving only modest results
  • The Team Readiness and Risk Assessment, a diagnostic framework that locates a team on the human-agent maturity spectrum and surfaces the specific risks at their current stage
  • The Human-Agent Ways-of-Working Model, what a deliberately designed human-agent team looks like in practice, with real examples from organisations at different stages of implementation
  • Role shift in human-agent teams, the three role categories (roles that grow, roles that transform, roles that shrink) and what this means for how a leader manages and develops their people
  • The human transition, how to have honest, constructive conversations with team members whose roles are changing, and how to manage the trust and engagement challenges that arise
  • Decision rights, why every human-agent team needs an explicit framework, what happens when one is absent, and the four-zone autonomy model that gives leaders a practical design tool
  • Value demonstration, how tactical leaders make the case for human-agent teaming to their own manager and stakeholders, and how to measure business outcomes rather than activity
  • The 90-day implementation roadmap, how to sequence workflow redesigns by value and feasibility, identify dependencies, and define success measures that prove the approach is working
  • Australian governance context, responsible and ethical human-agent teaming aligned to the APS AI Plan 2025, the Policy for Responsible Use of AI in Government, and Privacy Act 1988 obligations

This course is delivered live by a certified facilitator using a highly practical, structured format. The day follows a 30/70 facilitation-to-activity ratio, participants spend the majority of the day thinking, designing, and building, not watching.

Courses can be delivered:

  • Face-to-face at your organisation’s premises. Recommended for leadership cohorts where peer challenge and group discussion are part of the value
  • Virtually via live online facilitation, with adapted companion app exercises designed for the virtual format
  • Customised for specific leadership cohorts, divisions, or agencies, with scenarios and examples adapted to the participant’s sector and organisational context

Virtual training: Learn more about our virtual delivery.

Who is this course for?

This course is designed for tactical leaders, team leads, function heads, and operational managers, who are responsible for the performance of teams that include or are planned to include AI agents alongside human employees. It is built for leaders who are closest to the work: the people accountable for outcomes, responsible for their team members, and expected to make human-agent teaming work in practice, not just in principle.

Prior completion of Human-Led, AI-Powered: Copilot for business productivity and Building AI Agents with Copilot Studio is advantageous and provides the strongest possible foundation for this course. Leaders who have completed Building AI Agents with Copilot Studio and Building AI Agents with Copilot Studio will find this the natural strategic capstone of the program. Leaders who have not completed the earlier courses should have working familiarity with AI tools and at least a conceptual understanding of what AI agents are and how they operate.

GOVERNMENT AND PUBLIC SECTOR

  • APS officers and managers seeking to automate recurring workflows
  • Policy advisors and analysts who spend significant time on research, compilation, and drafting
  • Program and project managers looking to reduce administrative coordination overhead
  • Communications and engagement professionals managing content and knowledge workflows
  • Corporate services and operations teams with high-volume, structured process work

PRIVATE SECTOR AND PROFESSIONAL SERVICES

  • Managers and team leaders at all levels looking to scale their team’s output through agent workflows
  • Finance, HR and operations professionals with recurring, data-intensive process work
  • Marketing and communications teams managing content production and distribution workflows
  • Legal, compliance and risk professionals seeking governed, auditable AI support
  • Knowledge workers and strategic advisors who want to direct AI systems rather than just use them
BYOD REQUIREMENTS

This is an immersive, hands-on course. Participants must bring their work device and have access to a Large Language Model (LLM), such as Microsoft Copilot, ChatGPT, Claude, or equivalent. Unlike Courses Copilot for business productivity and Building AI Agents with Copilot Studio, this course is platform-agnostic: no specific AI licence or platform is required. Participants use whichever LLM they have access to through their organisation.

Participants should:

  • Be a practising leader with direct responsibility for a team or function. The exercises in this course use real team context and are not suitable for those without active leadership accountability
  • Have working familiarity with AI tools at the individual level. Participants do not need to be power users, but they should be comfortable using an LLM for professional tasks
  • Hold a basic conceptual understanding of what AI agents are and how they differ from standard AI tools. This is covered in Course 2 of the Human-Led, AI-Powered program

No technical or coding background is required. This course is built for business leaders, not developers or AI specialists

Practical scenarios covered

Throughout the day, participants use AI as a structured thinking partner to apply every framework directly to their own real team context. Each exercise is scaffolded through a structured input template in the companion app, participants brief the AI with specific details about their team, roles, decisions, and workflows before activating the exercise prompt. The result is personalised analysis and output, not generic responses.

  1. Completing a structured team readiness diagnostic, describing team composition, current AI tool usage, and planned agent integration, then using an AI thinking partner to generate a personalised readiness profile and risk register
  2. Drafting a ways-of-working reference model for their own team, using AI to benchmark their design against real organisational examples and identify gaps
  3. Building a workforce transition map, inventorying current team roles against the three shift categories, then using an AI prompt to surface transition risks and generate a prioritised conversation plan for team members
  4. Designing a team decision rights framework, mapping key decision types across the four-zone autonomy model, then using an AI thinking partner to stress-test classifications for consistency and unacknowledged risk
  5. Developing a value demonstration framework in the language of their own organisation, using AI to translate team-level outcomes into a value narrative their manager and stakeholders will find credible
  6. Producing a 90-day implementation roadmap, identifying top workflow redesign candidates, using AI to sequence by value and feasibility, then submitting the roadmap to a structured peer challenge round before leaving the room
The five take-home artefacts

Every participant leaves with six completed artefacts built during the day from their own real team context. These are not templates and they are not generic. They are AI-assisted, peer-reviewed documents produced in the participant’s own language, designed to be implemented the following week.

Built during the day. Deployed after the day.

  • Team Readiness and Risk Profile, an honest, AI-generated assessment of where the team sits on the human-agent maturity spectrum, with a specific risk register for their current stage
  • Human-Agent Ways-of-Working Model, a reference model for what a deliberately designed version of their team could look like, benchmarked against real organisational examples
  • Workforce Transition Map, a role-by-role mapping of how the team will shift as agents are incorporated, with a prioritised plan for the human conversations that need to happen
  • Team Decision Rights Framework, an explicit framework defining what agents handle autonomously, what humans review, and what remains human-only across the team’s real decision landscape
  • Value Demonstration Framework, a business case narrative in the participant’s own language, with measurable outcome indicators aligned to their organisation’s priorities
  • 90-Day Team Implementation Roadmap, a sequenced plan for the two or three highest-value workflow redesigns, with success measures, dependencies identified, and peer-challenged assumptions

This course does not have an exam.

On completion of this course, you will be awarded with a PM-Partners digital badge. These are widely accepted by leading organisations as recognition of specialist training and often shared on social media.

On the last day of training, you will be provided with a Digital Credential via the Credly Acclaim platform. This badge can be added directly to your LinkedIn profile and/or shared to your newsfeed, or other professional profile, to share your achievement with your network.

WHERE IS THE TRAINING VENUE LOCATED?

Sydney courses are held at 45 Clarence Street, Sydney.
Melbourne courses are held at 34 Queen Street, Melbourne.
Brisbane courses are held at 215 Adelaide Street, Brisbane.


I REQUIRE AN INVOICE BEFORE PAYMENT IS PROCESSED – CAN I STILL BOOK THIS COURSE ONLINE?

Yes. Simply select ‘invoice’ from the payment options during the checkout process and one of our consultants will be in contact to organise payment.


IS THIS A CERTIFIED COURSE?

No. There are no certifications or exams undertaken in this course. However, you do receive a Completion Certificate from PM-Partners group. Participants will also receive a digital badge.

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  • Invoice: An invoice will be sent to you after you complete the booking. Payment is required 14 days before the course start date. If you're buying within 14 days, you need to arrange payment ASAP with a minimum of 72 hours before course start date.
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