Optimizing AI Strategy & TRANSFORMATION

There is no one implementation of AI. Every organization needs to fit AI and generative AI into its operating model. I work with firms to execute on Change Management and adapting cultural attitudes. I work with executives to show them the advantages, and the changes that will be required in moving to AI. This may be POCs, training, pipeline and TCO (Total Cost of Ownership) to evaluate the cost of server and per seat licenses, changes in project management, resource needs, and a continual exploration of new tools.

Developing and testing an AI strategy involves a structured approach that aligns AI initiatives with business objectives, while also ensuring that the strategy is viable, scalable, and delivers measurable results.

This usually requires:

• Define Business Goals and Objectives

• Assess Current Capabilities

• Prioritize AI Use Cases

• Develop an AI Operating Model

• Prototype and Test with Pilot Projects - Roadmap

• Develop and Validate the AI TCO

• Iterate and Scale for Production

• Evaluate & Refine AI Operating Model