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    Gen AI Roadmap Accelerator

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    Explore the transformative impact of generative AI and discover strategic approaches for integrating and scaling this technology to drive business innovation, efficiency, and growth. Maximize the ROI of your AI investments at the convergence of data, cloud, and APIs with AWS services such as Bedrock and Amazon Q.   The 7-day planner provides a structured approach to conducting the Generative AI Roadmap Accelerator workshops. It ensures clear responsibilities, definesd activities, and specific outputs for each collaborative session with Encora,, facilitating a comprehensive and actionable AI adoption strategy for the client.

    Overview

    Phase 1: Review and Kickoff (3 days)  

    • Understand the client's business and industry on a high level.  

    • Preliminary data gathering on the client's current AI initiatives (if any), and usage of AWS services, especially those related to AI  

    • Define the RACI matrix as R: Encora AI Strategy Lead, A: Client CTO/CIO, C: Encora Industry Expert, Technical AI Specialist, Client Head of AI/Data/Analytics, Chief Strategy Officer I: Client Business Unit Leaders  

    • We perform the following activities as part of phase 1   

    • Introduction to the Generative AI Roadmap Accelerator  

    • Overview of the 5-level maturity model  

    • Assessment of current state maturity for each Key Process Area  

    1. Model Lifecycle  

    2. Deployment Operations  

    3. Human-AI Collaboration  

    4. Governance & Ethics  

    5. Innovation & Emerging Techniques  

    6. Industry-specific KPAs (e.g., Product Development, Marketing & Distribution, Customer Service)  

    • Gap analysis between current and target state   

    • Review of organizational strategy and goals   

    • Identification of target maturity levels for each KPA   

    • Prioritization of process areas based on potential impact  

    Deliverables from Phase 1:  

    • Current & target state maturity assessment for each KPA  

    • Gap analysis document  

    • Workshop summary and next steps  

    • Prioritized list of process areas for improvement  

    Phase 2: Planning (3 days)  

    Activities:  

    • Develop a phased roadmap to advance priority areas  

    • Enhance people, processes, and technology & establishment of progress tracking metrics 

    • Discussion of quick wins and long-term strategic initiatives  

    • Resource allocation recommendations for each stage  

    • Build risk mitigation strategies  

    • Integration points with existing business processes and systems  

    • Skill gap analysis and training plan outline 

    • AWS services and architecture recommendations to develop quick wins  

    Deliverables from Phase 2:  

    • First draft of Generative AI Adoption Roadmap  

    • List of defined initiatives  

    • Progress tracking metrics framework  

    • Identified quick wins and long-term initiatives  

    • Resource allocation plan  

    • Risk mitigation strategy document  

    • Integration plan  

    • Skill gap analysis and preliminary training plan  

    Phase 3 - Final Review (1 day)  

    Activities:  

    • Presentation of the comprehensive Generative AI Adoption Roadmap   

    • Review of all key deliverables  

    • Discussion of immediate action items   

    • Planning for ongoing support and check-in   

    Deliverables from Phase 3:  

    • Finalized Generative AI Adoption Roadmap  

    • Comprehensive Gap Analysis Report  

    • Prioritized Initiative Recommendations  

    • Progress Tracking Metrics Framework  

    • Action item list with owners and timelines  

    • Ongoing support and check-in schedule

    Highlights

    • The accelerator does not include development or implementation of specific Gen AI use cases. It prepares organizations to leverage AWS services, such as Amazon SageMaker and Amazon Q, for future development, enabling them to scale their AI initiatives effectively.
    • This exercise is aimed at companies that are in their adoption phase of Gen AI, especially those in highly regulated industries including healthcare, insurance, finance, legal etc.  By utilizing AWS’s compliance features and services like AWS Identity and Access Management (IAM) and AWS Shield, organizations can ensure their AI solutions meet industry regulations while maintaining robust security and data protection.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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