The Reejig Platform
Deep dives into each core product area — Work Architecture, Work Map, Work Intelligence, Builder Studio, and AI Control Center.
Work Architecture
- How Reejig maps career paths based on historical workforce movement
- How Reejig handles multiple salary bands across regions
- How to balance role consolidation vs specialization
- How to build an AI workforce strategy using Reejig
- How Reejig consolidates duplicate roles
- How to validate tasks and skills with SMEs
- How to incorporate existing capability models in Reejig
- How to manage global vs local design decisions
- Are contractors and contingent workers included in scope?
- What Work Architecture is and how it is structured
- How to navigate the Work Architecture hierarchy
- How to create, edit, or delete roles and tasks
- How SMEs interact with the Reejig platform
- How to manage multiple job descriptions for a single role
- Understanding workflows, tasks, and skills in Reejig
- How to validate tasks and ensure accuracy in Reejig
- How to decide what work should be done by AI vs humans
- How to prioritize roles, tasks, and workflows in Reejig
- How multiple job descriptions are reconciled into a single role output
- How Work Architecture differs from job architecture
- How Reejig handles emerging and hybrid roles
- How roles, job families, and structures are defined
Work Map & Work Intelligence
- How Reejig calculates capacity unlocked
- How Reejig identifies inefficiencies and bottlenecks
- How to search and explore tasks across the organization
- How Reejig calculates cost impact
- How to rank work by AI potential, savings, and impact
- How to use the AI assistant to explore data
- What the Work Map is and how it is used
- How Reejig calculates time savings
- What Work Intelligence is and what insights it provides
- How to view AI potential, capacity, and savings
- How to use filters to identify high-impact tasks
- How to identify the highest-value AI opportunities
Builder Studio & Workflows
- How to create, edit, and publish AI workflows
- What a runbook is and how it is used
- Who is responsible for building and managing AI workflows?
- What AI workflows are and how to create them
- What AI agents can do vs not do
- How to prepare for building a workflow and an AI agent
- How to assign AI agents to workflow steps
- Discovery questions to ask before redesigning a workflow
- What an AI agent is and how it works
- How to track workflow versions and improvements