1. Process Analysis

Start by identifying and mapping current business processes to spot inefficiencies and bottlenecks.

• Document existing workflows step by step
• Track time spent on repetitive tasks
• Identify manual data entry points

2. Task Classification

Categorize tasks based on their potential for AI automation:

• Repetitive and rule-based tasks
• Data entry and processing activities
• Scheduled or trigger-based actions
• Document handling and management

3. Impact Assessment

Evaluate the potential benefits of AI automation:

• Time savings estimation
• Error reduction potential
• Cost-benefit analysis
• Resource allocation improvement

4. Technical Feasibility

Assess the technical requirements and limitations:

• Available automation tools and technologies