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    Zen AI Sprint — From Executive Alignment to Production-Ready AI

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    From executive alignment to production-ready AI in weeks. AI Sprint is a structured engagement that validates your use case, secures sponsorship, and delivers a working AI solution on AWS — built on Amazon Bedrock and the Well-Architected Framework AI Lens.

    Overview

    From Ambition to Production-Ready AI in Weeks

    Most AI projects stall between ambition and delivery — not because the technology isn't ready, but because the business case isn't properly validated and the foundations aren't right. AI Sprint takes you from executive alignment to a production-ready AI solution in weeks, with Zen's experts working alongside your team at every stage.

    We call it AI Sprint because we sprint to production, not through planning. The upfront work — use case validation, strategic alignment, stakeholder engagement — isn't overhead; it's what makes the sprint possible. When we hit the DevOps phase, there's nothing in our way.

    Use Case Development & Evaluation We identify and assess AI opportunities that align with your business objectives, ensuring we focus on high-impact initiatives from the start. This prevents unfocused AI experimentation and ensures resources target the right problems.

    Business Strategy & Technology Alignment Workshop We secure executive sponsorship, validate your use case against clear business outcomes, and create a roadmap of projects prioritised in line with your most important strategic goals. This ensures strategic alignment before any development begins.

    Service Design We work closely with business stakeholders to understand your data, processes, and workflows. This collaborative discovery ensures the solution is grounded in operational reality before we move to technical building — identifying foundational gaps early and mitigating data and security challenges as part of the architecture design.

    AWS AI Services Architecture Selection We design the right AWS AI services architecture for your specific scenario, selecting services like Amazon Bedrock or Amazon Q Business with clear rationale, and creating a technical roadmap that takes you from PoC through to production.

    Sprint-Based DevOps PoC Through a focused sprint-based DevOps engagement, we deliver a working prototype that demonstrates feasibility and business value — testing assumptions rapidly and refining functionality based on feedback to generate early wins that build user buy-in and organisational momentum.

    AI Production Ready Checklist Before production deployment, we run an AI Production Ready checklist based on the Well-Architected Framework AI Lens, ensuring your solution meets enterprise standards for security, reliability, and operational excellence.

    Executive Closure & Continuous Capability We close the loop with your executive sponsor through a structured transition session, confirming the original business case has been realised. We then loop back to identify and develop the next use case, building continuous AI capability across your organisation.

    Benefits

    AI Sprint transforms strategic intent into operational reality. By combining executive alignment, expert architecture design, and rapid proof-of-concept development, you move from ambition to production-ready AI capability with confidence.

    Reduce risk and wasted investment Validation at each stage prevents unfocused AI experimentation and costly missteps, ensuring resources focus on high-impact initiatives. No more AI development for the sake of being seen to use it.

    Strategic alignment from day one Business Strategy & Technology Alignment Workshop ensures strategic objectives are clear and use cases validated before investment, bringing business and technology leaders together around shared goals and preventing wasted budgets.

    Rapid proof of measurable value Sprint-based approach demonstrates feasibility and business impact in weeks, generating early wins that accelerate user buy-in and organisational momentum — not months of planning before you see results.

    Production-ready outcomes with solid foundations Structured transition ensures the PoC becomes an operational solution built on secure, quality data that delivers on the original business case — not a prototype that can't scale.

    Continuous capability building Loop-back approach ensures ongoing identification and development of new use cases, building sustained AI capability across your organisation rather than a one-off project.

    Highlights

    • Structured pathway from validated use case to operational AI deployment — combining executive alignment, stakeholder-driven design, sprint-based development, and production-ready deployment in a single engagement. Every stage validates before the next begins, so when we sprint, there's nothing in our way.
    • Built on AWS AI services including Amazon Bedrock and Amazon Q Business — with architecture selection tailored to your specific scenario, a technical roadmap from PoC to production, and an AI Production Ready checklist based on the Well-Architected Framework AI Lens ensuring enterprise-grade security, reliability, and operational excellence.
    • Designed for organisations ready to move beyond AI experimentation — whether you're a mid-market company with citizen developers who've built working prototypes that need production-grade foundations, or an enterprise with AI budgets released but lacking the direction, measurement, and structure needed for success.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

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    Support

    Vendor support

    AI Sprint is delivered as a structured engagement with clear deliverables at each stage — giving you visibility, control, and confidence throughout.

    Getting started Contact Zen's team to schedule a pre-engagement discovery call where we understand your AI ambitions, identify potential use cases, and confirm the right engagement scope.

    During the engagement Each phase builds on the last — from Use Case Development through to Executive Closure. Key participants typically include an executive sponsor (CTO, CIO, or business leader), technical leads, and relevant business stakeholders. The total engagement spans weeks, not months.

    Post-engagement AI Sprint connects directly into CloudSure for ongoing managed support, DataReady for AI for deeper data infrastructure work, or loops back to the start for your next use case — building continuous AI capability across your organisation.

    As an AWS Advanced Services Partner, Zen delivers professional and managed services to customers across multiple industries. Our UK-based team works closely with customers for long-term, consistent results. Independent, B Corp-certified, with no sales commissions — our advice is always in your interest.

    Contact: aws@zen.co.uk