Understanding Autonomous Work Levels
AI is advancing with impressive generative and predictive capabilities, drawing significant investment and excitement. Business leaders are eager to leverage AI to handle routine, procedural, and algorithmic tasks, with experts estimating that over 40% of U.S. work activities could be augmented by AI.
The evolution of AI in the workplace can be categorized into six levels of autonomous work, progressing from simple task automation to managing entire business units. These levels are divided into two distinct phases: the Augmentation Phase (Levels 1-3) and the Replacement Phase (Levels 4-6).
The Six Levels of Autonomous Work
- Level 0: No Automation (Human-Only Tasks)
- AI Role: None.
- Human Role: All tasks and decisions are performed entirely by humans.
- Level 1: Task Automation
- AI Role: Handles specific, repetitive tasks that are rule-based, such as data entry or basic customer inquiries.
- Human Role: Oversees AI performance and focuses on complex tasks requiring judgment.
- Level 2: Sub-Process Automation
- AI Role: Executes a series of related tasks within a business process, like verifying documents in a customer onboarding process.
- Human Role: Manages exceptions and oversees AI performance.
- Level 3: Process Automation
- AI Role: Manages and completes entire business processes autonomously, such as processing a customer order.
- Human Role: Provides oversight and handles complex cases.
- Level 4: Role Automation
- AI Role: Takes over entire roles, managing multiple processes and responsibilities typically handled by humans.
- Human Role: Shifts to overseeing AI, developing AI capabilities, or focusing on strategic tasks.
- Level 5: Team Automation
- AI Role: Manages and coordinates the work of an entire team, including decision-making and task delegation.
- Human Role: Oversees AI-managed teams and focuses on higher-level business objectives.
- Level 6: Business Unit Automation
- AI Role: Manages entire business units, making strategic decisions and driving business outcomes.
- Human Role: Focuses on enterprise-wide strategy, innovation, and oversight.
Implications for Business Leaders
AI will initially augment human work by taking over routine tasks (Levels 1-3), but eventually, it will replace entire roles and manage teams and business units (Levels 4-6). To prepare for this shift, leaders should:
- Implement a comprehensive data strategy.
- Streamline primary business processes.
- Plan for both AI phases to ensure a smooth transition.
Understanding these levels and preparing accordingly will help business leaders navigate the ongoing and future impact of AI on their organizations.