Generative AI proof of concept
As part of our generative AI consulting services, Expanz will support your company in developing a proof of concept for a generative AI application. This initial prototype is designed to explore various hypotheses, evaluate technical feasibility, identify the most effective solution, and showcase the tangible value of generative AI to your stakeholders.
Generative AI strategy development
Our generative AI consulting services focus on crafting tailored Gen AI strategies and implementation roadmaps. We work with clients to identify high-potential use cases, prioritize them based on impact and feasibility, develop phased adoption plans for company-wide scaling, and equip teams with the knowledge needed to effectively leverage these emerging technologies.
Generative AI cost-benefit analysis
Our generative AI consulting company will support you in conducting a thorough assessment of the costs associated with developing, deploying, and maintaining generative AI solutions—measured against expected benefits such as improved efficiency, increased revenue, and enhanced customer satisfaction.
Gen AI tech stack selection
Following a comprehensive analysis of your business goals and existing IT landscape, Expanz’s generative AI consultants will recommend the most suitable open-source or proprietary models, frameworks, and infrastructure for your project. Our recommendations are guided by key factors such as scalability, performance, security, and any technological constraints.
Ethical Gen AI implementation
A dedicated generative AI consultant will work with your company to identify and mitigate biases in generative AI models and training data. This ensures your AI solutions are developed and deployed responsibly—promoting fairness, transparency, and compliance with ethical standards and regulatory requirements.
Generative AI performance optimization
We offer generative AI consulting services to organizations that have already adopted this advanced technology within their IT infrastructure. Expanz can assist you in optimizing cloud computing expenses, selecting the right servers for on-premises deployments, and enhancing the output quality of your generative AI models.