Role-Based Programme
RB1555

AI-Powered Scrum Master

Intelligent Agile Facilitation, Sprint Analytics & Team Delivery Improvement

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across Scrum facilitation, sprint planning, daily coordination, retrospectives, impediment management, and team improvement.
  • Use AI to analyse backlog information, sprint data, velocity trends, blockers, retrospective feedback, team actions, and delivery metrics.
  • Build repeatable AI-assisted workflows for Scrum events, action tracking, stakeholder communication, continuous improvement, and Agile reporting.
  • Apply AI to identify delivery bottlenecks, recurring impediments, team-pattern risks, incomplete work, and improvement opportunities.
  • Design responsible AI-enabled Scrum workflows with appropriate controls for team privacy, psychological safety, data accuracy, transparency, and human facilitation.

Tools covered

Generative AI AssistantsAI Search & ResearchMeeting & Communication AISpreadsheet & Data AnalysisAgile Analytics ToolsSprint Planning ToolsRetrospective AnalysisKnowledge Management AIReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Scrum Masters
  • Senior Scrum Masters
  • Agile Coaches
  • Agile Project Managers
  • Delivery Managers
  • Iteration Managers
  • Agile Delivery Leads
  • Project Managers
  • Program Managers
  • PMO Professionals
  • Product Delivery Professionals
  • Agile Transformation Professionals
  • Project Coordinators
  • Team Facilitators
  • Scrum & Agile Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Scrum, Agile delivery, project management, or team facilitation
  • Familiarity with sprints, backlogs, Scrum events, impediments, retrospectives, and Agile metrics
  • Basic proficiency with spreadsheets, documents, collaboration platforms, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, meeting intelligence, and workflow automation
  • Mapping AI opportunities across Scrum events, team coordination, and continuous improvement
  • Understanding AI assistance versus human facilitation and team accountability
  • Recognising privacy, bias, over-automation, and team-trust risks
Practical activities
  • Mapping an existing Scrum Master workflow
  • Comparing manual and AI-assisted Scrum activities
  • Creating a Scrum Master AI opportunity matrix

Scenarios

Sprint Planning to Retrospective Improvement

Backlog Readiness → Sprint Goal → Capacity Review → Sprint Planning → Daily Scrum → Impediment Tracking → Sprint Review → Retrospective → Improvement Actions

Participants use AI-assisted techniques to support a simulated sprint from planning through review and retrospective, identifying blockers, tracking actions, and creating evidence-based improvement recommendations.

Multi-Sprint Data to Agile Improvement Workflow

Sprint Metrics + Blockers + Retrospective Feedback + Dependencies + Action Items → AI Analysis → Recurring Patterns → Improvement Priorities → Automated Follow-Up → Agile Dashboard → Team Review

Participants design an AI-enabled Scrum workflow that consolidates sprint information, highlights recurring delivery and collaboration issues, automates follow-up, and improves team visibility while retaining facilitation and delivery decisions with accountable Scrum and Agile professionals.

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