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    Pathfinder for Gen AI Readiness

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    Sold by: Versent 
    Versent’s Pathfinder for GenAI Readiness is a focused engagement that assesses your organisation’s ability to safely adopt and scale AWS-native Generative AI services like Amazon Bedrock, Titan, and SageMaker. Using DAMA-DMBOK principles and the AWS Well-Architected Review, we identify readiness gaps across data, people, and platforms, and deliver a clear roadmap with an optional proof of concept to help you move from exploration to real business value—safely and at speed.

    Overview

    Versent’s Pathfinder for GenAI Readiness is a focused engagement that helps your organisation assess and accelerate its readiness to adopt AWS-native Generative AI (GenAI) services. Using DAMA-DMBOK principles and the AWS Well-Architected Review, we evaluate your data, technology, people, and processes—identifying blockers and delivering a clear, actionable roadmap to safely adopt and scale GenAI use cases.

    We specifically assess your organisation’s readiness to consume services such as Amazon Bedrock, Amazon Titan, and SageMaker GenAI capabilities, helping you move from experimentation to execution with confidence.

    Why Pathfinder for GenAI? Generative AI is transforming industries, but without the right foundations, organisations risk falling into hype cycles or launching unsafe, unsustainable pilots. Versent’s Pathfinder gives you the clarity and structure to build a secure, scalable GenAI foundation—tailored to your business needs and cloud environment.

    Whether you’re just exploring or preparing to scale, Pathfinder helps you unlock GenAI value through:

    • A clear-eyed view of your readiness
    • Practical steps to close capability gaps
    • Low-risk testing using AWS-native GenAI tools
    • Roadmap aligned to AWS Well-Architected standards

    Deliverables include:

    ✅ GenAI Readiness Assessment Comprehensive review of your current data landscape, platform architecture, and organisational capability.

    • Evaluates readiness to consume Amazon Bedrock, Titan models, and SageMaker GenAI workflows.
    • Includes data governance, model integration feasibility, and operational maturity.

    ✅ Remediation Plan Targeted, practical plan to close critical gaps in data quality, platform readiness, and governance.

    • Aligns with AWS best practices for GenAI adoption.
    • Focuses on pre-requisites like data pipelines, role-based access, and safe model interaction.

    ✅ Enablement via PoC Optional, low-risk proof of concept using AWS-native GenAI services to demonstrate business value.

    • Example use cases: text summarisation, knowledge search, internal copilots, or GenAI-driven automation.
    • Delivered using services like Amazon Bedrock and SageMaker JumpStart.

    ✅ Executive Recommendations & Roadmap Presentation and roadmap with actionable next steps to move forward safely and at scale.

    • Covers platform uplift, capability building, policy readiness, and future-state architecture.

    Highlights

    • Targeted Readiness Assessment for AWS GenAI Services Assesses your organisation’s ability to safely adopt Amazon Bedrock, Amazon Titan, and SageMaker GenAI, evaluating data quality, architecture, and governance maturity using AWS Well-Architected and DAMA-DMBOK frameworks.
    • Low-Risk Enablement via Use-Case-Led PoC Delivers an optional, tailored proof of concept using AWS-native GenAI tools to demonstrate real business value—such as internal copilots, intelligent search, or content generation—without the risk of over-investment.
    • Executive-Ready Roadmap to Scale GenAI Provides a clear, actionable roadmap outlining next steps across people, process, and platform—so you can move from experimentation to enterprise-scale adoption with confidence.

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