AI Platform: 6 Week Implementation

Quisitive’s AI Platform leverages Microsoft Azure and Azure AI services to effectively address your business challenges. We deliver a fully operational AI platform tailored for you, ensuring robust security for both your data and your applications.

If your AI journey is underway, you’ve likely undergone a comprehensive discovery, analysis, and planning process, designed to ensure responsible and secure AI adoption and practices. If you have not, don’t fear—this engagement includes two to four hours of vision enablement sessions to discover the art of the possible and plan to welcome the era of AI!

> Step 1: Pinpoint Use Cases

After the vision enablement sessions, Quisitive will help you pinpoint specific use cases aligning to your organizational priorities and help you select the most suitable candidate for your initial AI pilot. Together we create a roadmap for the development of your AI Platform. You will get a dedicated team with an Architect, Security Advisor, Application Development Engineer, Data Engineer, AI Strategist, and Project Manager to support the build of your AI Platform.

> Step 2: Determine Data Sources

The second phase involves a deep dive into identifying the data sources needed. The platform will integrate all necessary data infrastructure to connect with up to three data sources, process the data, and house it in both a data lake and a vector store. We will work with your team to identify relevant documents and data stores. This step is crucial to determine the essential processes, scope, and technologies required to turn your AI pilot into a reality.

We outline the architecture, pinpoint data sources, and discuss how to index the data. We also revisit and refine the roadmap we crafted earlier to ensure it remains aligned with your vision.

> Step 3: Clean Data

The importance of clean data cannot be overstated—it is the cornerstone of a successful AI solution. We assist in preparing your data stores and documents for AI utilization, employing technologies such as Microsoft Fabric or your own data lake to ensure the integrity and readiness of your data for the AI’s use.

> Step 4: Fuel your LLM

Now that your data is clean, it’s time to load it into your new AI platform. The Large Language Model that fuels your AI solutions will be able to look at data and “understand” it for use in responses to your natural language prompts and questions.

Our experts create the necessary scripts and set up the workflows you need to facilitate the deployment of a single use case. This is the step that finally helps your business operations run more efficiently and intelligently, using AI to perform tasks, respond to queries, and offer useful insights. Additionally, a technical readout and a security workshop are provided to empower you and your team.

> Step 5: User friendly is key

Beyond setting up your workflows, Quisitive experts ensure that your AI platform works in a way your users understand. We’ll set up pre-defined UI/UX within your AI platform, then add your application and test to ensure it performs correctly.

> Step 6: Secure your AI platform

Finally, Quisitive data and AI security experts will add AD security to your AI Platform, ensuring security and identity management for your intelligent application. Our team will discuss Azure security, demonstrate the implementation of the application’s security layer, and will work on security mapping.

> Step 7: Multi-Use Case Accelerator

In this expansive phase, we assist you in scaling your AI solution by integrating additional use cases and agents capable of intercommunication. Continuous support and maintenance are part of our commitment to you.

Quisitive builds your complete AI Landing Zone and ensures a unified, secure foundation for your current and future AI and advanced analytics initiatives. Don’t gamble with your data. The future of AI relies on a solid and secure foundation. Quisitive will get you there.