We start by identifying generative use cases specific to your business and setting performance benchmarks to ensure alignment with your goals. Next we conduct stakeholder interviews to gain a deeper understanding of your organization's workflows to develop a clear success criteria for your generative product.

In week two of the Blueprint, we bring your generative use case to life. In this phase, we do rapid prototyping to build an MVP tailored to your identified use-case. Our team will test various Large Language Models (LLMs) to pinpoint the one that delivers optimal results for your specific needs.

We believe in a data-driven approach, and thus, in week three we continuously evaluate and measure the performance of your product to guarantee it meets established benchmarks and success criteria. Based on the results, we'll fine-tune the models and the prompts to optimize the outputs.

In the final week of the engagement our team will develop a comprehensive implementation plan, outlining the necessary steps to seamlessly transition your MVP into a full-scale production solution. We consider factors such as scalability, maintainability, and integration with existing systems, ensuring a smooth and efficient deployment.