Make AI workable

HIXTON'S PEOPLE-CENTERED APPROACH

GenAI offers plenty of opportunities and there are risks that we need to manage, but how do you apply it effectively in your organization? Hixton guides companies step by step in adopting Generative AI, with a proven method that makes innovation tangible. From awareness to implementation: we help you make AI truly workable.

1. Awareness and inspiration

Discover the first possibilities and impact of Generative AI for your organization. Awareness of the developments and potential consequences for the organization is key here. Discussing trends, opportunities and challenges. The challenge is to let management and employees imagine a future with AI themselves. Hixton uses workshops and inspiration sessions for this purpose.

2. Vision and roadmap

Creating a clear AI roadmap and discovering opportunities for AI within the organization. Development of an AI vision that matches the organization's vision and strategy. Collaboratively identifying value areas and potential use cases for AI. Interview and knowledge sessions are part of our approach.

3. Analysis and selection of key areas

Focus on identifying the most promising and promising areas within the organization. Where does it make sense to invest time and money in (Gen) AI initiatives? Hixton also makes an inventory of which initiatives have already been taken and what the outcome is.

4. Experimentation and POCs

Validate ideas and create support by implementing Proof of Concepts (PoC). Seeing and experiencing ensures credibility in the solution direction. Is the solution direction also achievable in practice? Can it meet expectations? This is about building trust within the organization and making choices.

5. Develop and implement

Ensuring that AI solutions become workable by paying a lot of attention to employees and guidance. Development of business cases and investment plans. Implementing solutions including attention to change management. Building knowledge and experience. Training, education and information and understandable communication are essential and ensure sustainable AI adoption.