Highlights
- Scenarios drawn from both classic leadership conflict and current AI adoption challenges
- Flexible format: full role play or coached scenario walkthroughs — participant choice
- Frameworks that work whether conflict stems from a person, a process, or a system
- Small group practice with facilitator coaching and peer feedback throughout
- Personal conflict toolkit to take away and use immediately
Course Details
Module 1: Identify Sources of Conflict and Approach Them Constructively
Recognise the early warning signs of conflict — disengagement, passive resistance, and side-channel complaints
Understand different conflict styles and what triggers escalation in each person
Distinguish between conflict that needs mediation and tension that requires policy or organisational change
Prepare purposeful conversations that move the situation forward constructively
AI & Technology Workplace Scenarios
- AI context: Developers passively resisting AI coding assistants such as GitHub Copilot — when non-compliance is covert rather than open
- AI context: AI-generated performance data flags an individual; the wider team perceives unfairness and morale dips
- AI context: A team discovers AI monitoring tools have been deployed on their workflows without prior consultation
Module 2: De-escalate Tension and Rebuild Trust
Manage your own tone and body language to avoid amplifying defensiveness
Listen deeply and reflect back without taking sides or signalling judgement
Reframe perspectives so all parties feel genuinely heard before solutions are explored
Show neutrality while keeping dialogue purposeful and moving toward resolution
AI & Technology Workplace Scenarios
AI context: Rebuilding trust after an AI decision — automated task allocation, performance flagging — feels opaque or unfair
AI context: Managing generational friction between colleagues who embrace AI tools and those who feel threatened by them
AI context: De-escalating when an employee disputes an AI output that affects their role, review, or professional reputation
Module 3: Create Shared Solutions and Commitments
Facilitate mutual understanding and move both parties from fixed positions to shared interests
Co-create realistic action steps with genuine buy-in from everyone involved
Establish follow-through plans with clear ownership and timelines
Embed accountability in a way that feels fair and constructive rather than punitive
AI & Technology Workplace Scenarios
AI context: Agreeing team norms around AI tool use: what is acceptable, what is not, and who has authority to decide
AI context: Resolving attribution disputes when AI has contributed substantially to a deliverable or output
AI context: Creating shared commitments when role responsibilities have shifted significantly due to automation
Module 4: Practise Resolution Strategies Through Simulation or Role Play
Work through real workplace conflict scenarios in a psychologically safe environment
Choose full role play with character briefs or coached scenario walkthroughs with structured discussion
Receive direct, actionable feedback from facilitators on approach, language, and outcome
Debrief each scenario and identify strategies transferable to your own team and context
AI & Technology Workplace Scenarios
AI context: Scenario: A developer refuses to allow AI code review tools into their pipeline, citing IP and quality concerns
AI context: Scenario: Two senior engineers disagree publicly about whether to accept or manually validate AI-generated code
AI context: Scenario: An AI-generated project summary misattributes work, creating tension over credit and authorship
AI context: Scenario: A manager must address concerns flagged by an AI performance tool that the employee strongly contests
Who should attend
- Team leaders, managers, and senior individual contributors responsible for team dynamics
- Technical leads managing developers or engineers during AI tool adoption and change programmes
- HR business partners coaching line managers through people conflicts
- Anyone who needs to step into difficult situations calmly and resolve them effectively
Feedback
4.8 out of 5 average
"I thought that the style of creating a backlog of user stories and inputting them into sprints was very helpful and that the practical at the end of the course was excellent. Overall, it gave me a great insight into agile project management."
GW, Project Manager, Scrum, April 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
