AI-Empowered SAFe® for Teams with SP Certification

SAFe Foundations

Scaled Agile Framework (SAFe®)

A knowledge base of principles, practices, and competencies for scaling Lean and Agile development across the enterprise, enabling many teams to align and deliver value together.

SAFe Practitioner (SP)

The certification for team members who apply Lean and Agile at scale, demonstrating the skills to contribute effectively as part of an Agile Release Train.

Lean-Agile Mindset

The combination of Lean thinking and the Agile Manifesto values that guides how SAFe teams and individuals work and make decisions.

SAFe Core Values

Alignment, Transparency, Respect for People, and Relentless Improvement — the guiding beliefs essential to SAFe's effectiveness.

Scaling Lean & Agile

Applying Agile beyond a single team by synchronizing many teams on an Agile Release Train that plans and delivers on a common cadence.

Agile Teams & ART

Agile Release Train (ART)

A long-lived team of Agile teams (50–125 people) that incrementally develops, delivers, and operates solutions in a value stream on a Program Increment cadence.

Agile Team

A cross-functional group of 5–11 people who can define, build, test, and deliver an increment of value within an iteration.

Knowing Your Team's Role

Understanding your team's mission on the ART and how its work contributes to the train's shared PI objectives and value delivery.

Knowing Other Teams & Dependencies

Understanding the roles of other teams on the train and the dependencies between them, so work can be planned and integrated smoothly.

Cross-Functional Collaboration

Working across skills within and between teams to deliver integrated value, rather than handing off between functional silos.

Team Roles (PO, Scrum Master, Team)

Each Agile team includes a Product Owner (what/priorities), a Scrum Master/Team Coach (facilitation), and team members who build and test the increment.

Connecting to the Customer

Customer Centricity

Keeping the customer's needs at the center of the team's work so the team builds solutions that deliver real value.

User Story

A short description of functionality from the user's perspective — 'As a <role>, I want <function> so that <value>' — that the team builds and tests.

Acceptance Criteria

Conditions a story must satisfy to be accepted, removing ambiguity and guiding development and testing.

Story Splitting

Breaking large stories into small, valuable, testable slices that fit within an iteration.

Planning the Work

Program Increment (PI)

A timebox (typically 8–12 weeks) during which the ART delivers value; it provides the planning and integration cadence for all teams.

PI Planning

The cadence-based event where all teams on the ART plan the upcoming PI together, align to a shared vision, and identify dependencies and risks.

PI Objectives

Business and technical goals a team commits to for the PI, giving focus and a basis for measuring success; Business Owners assign business value.

Iteration Planning

The event where a team commits to iteration goals and selects and tasks out stories from its backlog for the coming iteration.

Estimating with Story Points

Using relative story points to size work by complexity, effort, and uncertainty rather than absolute time, enabling forecasting and capacity planning.

Program Board

A visualization from PI Planning showing features, milestones, and cross-team dependencies, making the plan and its risks transparent.

Executing Iterations

Iteration (Sprint)

A fixed timebox (typically two weeks) in which the team plans, builds, tests, integrates, and reviews a working increment.

Daily Stand-up

A short daily synchronization where the team coordinates work toward the iteration goals and raises impediments.

Demonstrating Value

Showing working, integrated software at the iteration review and system demo to gather feedback and measure progress.

Built-In Quality

Keeping quality high throughout development via practices like test-first, continuous integration, and a strong Definition of Done.

Team Kanban & Flow

Visualizing work and limiting WIP to expose bottlenecks and keep value flowing during iteration execution.

Delivering & Improving

Continuously Delivering Value

Contributing to the continuous delivery pipeline so the ART can integrate and release value frequently and reliably.

Integrating with Other Teams

Coordinating and integrating work with other teams on the train — through the system demo and dependency management — to deliver a whole solution.

Getting Feedback

Using iteration reviews, system demos, and PI events to gather feedback that guides adjustments and improves the product.

Iteration Retrospective

A regular team reflection on process, identifying concrete improvements to apply in the next iteration.

Inspect & Adapt

The end-of-PI event where the ART demonstrates the solution, measures results, and runs a problem-solving workshop to improve.

Improving Relentlessly

Continuously enhancing the team's ways of working and technical practices to increase flow, quality, and value over time.

AI-Empowered Teams

Responsible AI for Teams

Using AI tools responsibly to streamline daily tasks and solve problems faster, with awareness of risks and appropriate guardrails.

AI in Daily Workflow

Integrating AI into routine team tasks — drafting, summarizing, analyzing — to save time and increase effectiveness while keeping humans accountable.

Personal AI Integration Plan

A plan each participant leaves with to immediately and responsibly integrate AI into their own workflow on the team.