Week 1
Discovery & Engagement
1. Data Analysis & Insights: Evaluate data quality, accessibility, and usability for AI, identify gaps in sources/formats, and use quantitative insights to support strategic decisions.
2. Understand Pain Points & Challenges: Engage stakeholders, conduct interviews and surveys, identify key issues, and explore AI opportunities to streamline workflows and add value.
3. Document Process Gaps: Identify process gaps by mapping workflows, pinpointing inefficiencies, and highlighting automation opportunities for AI optimization.
Week 2
Evaluate Current Processes
1. Review Department Workflows: Analyze processes across departments to map data, tasks, and responsibilities for a comprehensive view of operations.
2. Identify Bottlenecks & Improvements: Examine workflows to identify delays, redundancies, and inefficiencies, focusing on areas where AI can automate tasks or optimize resources.
3. Visualize Processes & AI Opportunities: Create visual process flows to map operations, highlight key decision points, and identify areas for AI-driven automation and efficiency improvements.
Week 3
Identify & Align AI Solutions
1. Explore AI Solution Options: Analyze AI solutions and vendors, assess their effectiveness, perform a cost-benefit analysis, and explore custom applications for specific needs.
2. Validate Integration and Scalability: Engage stakeholders, conduct interviews and surveys, identify key issues, and explore AI opportunities to streamline workflows and add value.
Week 4
Custom AI Readiness Report
1. Summarize Key Findings: Highlight AI readiness, key pain points, and areas where AI can drive immediate business value.
2. Present Prioritized AI Use Cases: Rank AI opportunities by impact and feasibility, focusing on ROI, efficiency, and alignment with business goals.
3. Define a Roadmap for AI Adoption: Create a timeline with milestones, resources, roles, and actionable steps from proof-of-concept to deployment.
4. Outline Potential Risks and Mitigation Strategies: Identify challenges like integration and scalability, and propose proactive mitigation and monitoring plans.
