Role-Based Programme
RB1554

AI-Powered Scrum Master

Smarter Agile Facilitation, Sprint Management & Team Performance

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Scrum Master activities including sprint planning, facilitation, backlog readiness, impediment tracking, retrospectives, and reporting.
  • Use AI-assisted techniques to analyse sprint data, team feedback, blockers, delivery patterns, and Agile metrics more efficiently.
  • Develop structured workflows for ceremonies, action tracking, stakeholder coordination, risk identification, and continuous improvement.
  • Improve sprint visibility through AI-assisted trend analysis, blocker identification, retrospective insights, and team-performance reporting.
  • Apply responsible AI practices covering team confidentiality, data accuracy, bias, psychological safety, decision boundaries, and human facilitation.

Tools covered

Generative AI AssistantsAgile Planning SupportSprint AnalyticsBacklog AnalysisMeeting & Facilitation SupportImpediment TrackingTeam Performance AnalysisDocument IntelligenceReporting AssistanceWorkflow Automation

Who should attend

  • Scrum Masters
  • Agile Coaches
  • Project Managers
  • Agile Project Managers
  • Delivery Managers
  • Iteration Managers
  • Sprint Coordinators
  • Product Delivery Professionals
  • PMO Professionals
  • Program Coordinators
  • Agile Team Leads
  • Project Analysts
  • Transformation Professionals
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Agile, Scrum, project delivery, or team coordination
  • Familiarity with sprints, backlogs, user stories, daily stand-ups, reviews, and retrospectives is helpful
  • Basic spreadsheet and project-tracking skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, and automation in Agile delivery
  • Identifying AI applications across sprint planning, ceremonies, blockers, retrospectives, and reporting
  • Understanding AI assistance versus Scrum Master facilitation and team accountability
  • Recognising risks related to inaccurate team data, bias, confidentiality, and over-automation
Practical activities
  • Mapping Scrum Master responsibilities to AI-assisted opportunities
  • Identifying repetitive coordination and reporting tasks suitable for AI support
  • Comparing traditional and AI-assisted Scrum workflows

Scenarios

Sprint Planning to Blocker Resolution

Backlog → AI-Assisted Readiness Review → Capacity Check → Sprint Plan → Daily Updates → Blocker Detection → Escalation → Sprint Review

Participants manage a simulated sprint from planning through delivery, identify emerging blockers and dependencies, and create a structured resolution and communication workflow.

Multi-Sprint Data to Team Improvement Plan

Sprint Metrics + Retrospective Feedback + Blockers + Carryover Data → AI Analysis → Recurring Patterns → Improvement Priorities → Action Plan → Team Review

Participants consolidate multiple sprint data sources, identify recurring delivery and collaboration issues, and prepare a team-focused continuous-improvement plan without using metrics to rank individuals.

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