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Conflict Resolution for Leaders in Human and AI-Driven Workplace training course

Unresolved conflict can erode trust, stall progress, and damage culture. This course equips leaders to identify, approach, and resolve conflict constructively — whether tensions arise from everyday interpersonal friction or from the disruption that AI and automation are generating in modern teams.

JBI training course London UK

"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

Public Courses

06/07/26 - 1 days
£1500 +VAT
17/08/26 - 1 days
£1500 +VAT
28/09/26 - 1 days
£1500 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

  • 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


 

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

 

JBI training course London UK

  • 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

5 star

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

 

 

JBI training course London UK

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What Participants Will Be Able to Do

  • Recognise the early signs of conflict before it escalates to grievance or attrition
  • Distinguish interpersonal conflict from systemic or AI-driven tension — and respond differently to each
  • Prepare structured conversations that move conflict forward rather than avoiding it
  • De-escalate emotion without dismissing the concerns behind it
  • Facilitate shared solutions and mutual commitments with accountability built in
  • Know when to escalate beyond the leader to HR, legal, or senior stakeholders

CONTACT
+44 (0)20 8446 7555

[email protected]

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