1. Define Objectives and Strategy Creation
Step 1: Assessments
- Assess the Company's Situation and Future Readiness
- Ask Questions, Receive Answers, Benchmark Quality
- Synthesize Findings Into Opportunities and Risks
- Conduct Future Readiness Assessment
Step 2: Define AI Opportunities and Risks
- Identify Areas for Significant Value Creation Through AI
- Value Mapping and Business Process Mapping
- Consider Technical Operations Rish and Opportunities
Step 3: Develop AI Strategy and Roadmap
- Create Plan Aligned with Executive Vision and Strategy
- Discuss Potential Security Threats and Risks
Step 4: Prioritize Objectives
- Sequence Roadmap Into Phases with Success Criteria
- Identify Required Resources and Define Roles
- Demonstrate ROI at Each Phase to Manage Expectations
2. Interviews and Data Collection
Step 5: Interview Team Members
- Interview Individuals to Understand Skills and Mindset
- Analyze Data Use, Technology, and Workflow Details
- Workflow Analysis is a Key Part of this Step
Step 6: Submit Detailed Workflow Plans
- Document Analyzed Workflows and Visually Lay Them Out
- Confirm Plans with Individuals Involved
3. Design and Deploy Solutions
Step 7: Data Management
- Develop Data Strategy
- Prepare Data for AI Use
- Collect, Clean, and Deploy Data
Step 8: Source Resources
- Identify Necessary Resources
- Engage Internal or External Consultants
Step 9: Design and Deploy
- Implement Solutions
- Training and Cultural Integration
- Tool Setup and Workflow Implementation
4. Refine and Evolve Systems
Step 10: Monitor and Optimize
- Ongoing Monitoring and Optimization of Deployed Technology
- Regular Check-ins and System Evolution with New Data
- Tweaking Prompts and Updating Workflows
- Managing Tool Changes and New Features