LTIMindtree Data & AI Power of One Generative AI Adoption Accelerator - 6 Weeks Implementation

Embark on a transformative journey with our "Power of One Generative AI Adoption Accelerator." Specializing in swift Minimum Viable Product (MVP) launches, we showcase generative AI's potential across diverse domains. Our unique approach prioritizes rapid idea generation and business case development, ensuring a seamless transition from concept to tangible results. Focused on delivering maximum value, we align a singular use case with your business objectives. Powered by LTIMindtree's cutting-edge Canvas.AI platform, our repeatable accelerated approach guarantees efficiency and consistency in every project phase. With our innovative Multi-function Product Oriented Delivery (Pod), we expedite outcome alignment, optimizing the process for optimal results.

Solution Highlights

1. Swift Deployment: Launch your generative AI project from idea to Minimum Viable Product (MVP) in just six weeks for rapid results.

2. Comprehensive Evaluation: Receive end-to-end support, evaluating your business use case and solution with a scale-out plan for impactful, scalable generative AI projects.

3. Cutting-Edge Adoption: Future-proof your projects by adopting our advanced Generative AI platform integrated with Microsoft Azure OpenAI Service, ensuring innovation and impact across current and future use cases.

Solution Deliverables

• Use Case List: Identify and prioritize key use cases tailored to your business needs • Rationale & Business Case: Clearly articulate the rationale behind chosen use cases and develop a robust business case for the prioritised use case.. • One Use Case focus: Focus on designing and implementing a singular use case to demonstrate the power of generative AI. • Use Case Design & Data: Develop a detailed design for the chosen use case, including data requirements and integration strategies. • GenAI MVP Product on One Use Case: Swiftly launch a Minimum Viable Product (MVP) to showcase the generative AI's capabilities within the selected use case. • Experience & Business Value from Use Case: Evaluate and quantify the experiential and business value derived from the implemented use case. • Learnings & Next Steps to Scale Out: Extract key learnings from the initial implementation and outline clear steps for scaling out generative AI applications to broader scenarios.

Additionally, Azure Professional Service will be provided as part of this offer, ensuring additional support and expertise. This inclusion enhances the comprehensive generative AI solution by seamlessly integrating with Microsoft Azure OpenAI Service.