OpenAI POC

This initiative empowers clients to showcase the value of OpenAI within their enterprises, paving the way for a seamless integration. Possible business advantages encompass reducing employee administrative loads, enhancing user and customer experiences, and augmenting data precision and insights via the secure utilization of AI.

Our strategy encompasses the following key stages:

Phase 1: Starting with three workshops, we collaborate to discern business goals, data origins, and the existing landscape. We explore extensive language models (ELMs) and OpenAI applications tailored to your specific needs, ultimately finalizing a prioritized list of use cases.

Phase 2: Next, we delve into the build and construct a landing zone to support the chosen OpenAI and ELM use cases. This involves enabling the necessary resources, models, code, and documentation to support the current and future states of the project.

Phase 3: As we progress, we empower your team through informative knowledge transfer sessions. These sessions encompass subscription and design options, cost, comprehensive findings presentation, and suggestions for future use cases, security enhancements, integration prospects, and more. All of which aid your team in the endeavor of integrating OpenAI across your organization.

Deliverables:

• Conduct workshops orchestrated by Kagool involving IT and business stakeholders to understand your business objectives, use cases, and present status.
• Implement a landing zone to accommodate initial client scenarios.
• Put together estimates for Azure cost consumption.
• Establish an Azure tenant complete with applicable Azure Data Services.
• Hold knowledge transfer sessions.
• Provide a recommended roadmap.