Introduction and Context (15 minutes) We'll kick off with a 15-minute session designed to familiarize everyone with the expertise that Arcee AI brings to the table. It will encapsulate our specialization in creating tailored, smaller language models and establish a clear, concise objective for this discovery session – to evaluate if Arcee's platform and models align seamlessly with your current workflow using OpenAI, particularly GPT-4.

Current State Assessment (60 minutes) We'll delve into the assessment of your current state with OpenAI models. We must hear directly from you about how these models integrate into your workflow, what metrics define your success in terms of performance and accuracy, and any significant challenges or pain points you've encountered. Our goal is to gain a deep understanding of your experiences so far, from a technical standpoint and regarding the impact on your business. We're here to help, and we want this dialogue to lay a solid foundation for identifying how Arcee can offer improved performance, streamline integration, and provide unparalleled support.

Security, Privacy, and Compliance (30 minutes) Our discussion will focus on understanding any regulatory or industry requirements you are subject to, your current security practices, data privacy measures, and specific compliance standards. We designed the Arcee platform with these concerns in mind. We intend to meet and exceed your expectations in addressing key security issues, respecting data protection policies, and adapting to comply with any regulations or standards pertinent to your operations.

Cost (30 minutes) We're keenly aware that cost optimization is crucial in business decisions. This discussion aims to understand your current costs related to OpenAI models, including personnel and infrastructure expenses, and how you assess potential cost savings or benefits from switching platforms. By the end of this section, we aim for you to have confidence in Arcee's competitive pricing model, assurance that our platform will contribute significantly to cost optimization, and a clear understanding of the Return on Investment (ROI) you can anticipate.

Demo: Model Adaptation on Arcee (30 minutes) We'll provide a practical demonstration of how you can adapt models on Arcee. This exercise is crucial as it illustrates, in real time, how you will use your datasets within our platform. This demo will also highlight the ease our platform can integrate into existing workflows. Data and Datasets (30 minutes) We’ll focus on understanding your types and volumes of data for training models. We'll address how Arcee handles data ingestion and how you can also leverage open-source datasets.

Model Deployment on AWS (30 minutes) We’ll discuss your current workflows, containerization, orchestration processes, and any specific AWS services (like Amazon EKS or Amazon SageMaker) you wish to leverage for model deployment. We're eager to assure you that integrating our customized models will be smooth and optimized for compatibility with your AWS infrastructure.

Conclusion and next steps (15 minutes) We'll recap the key insights from our discussion. We’ll also discuss project funding (like potential AWS credits). We'll map out clear next steps for further evaluation, including pilot projects or proof-of-concepts. We're committed to ensuring a seamless transition and are ready to offer support at every step of this journey.