Shelpuk & Company
    Fixed-Price AI Product Development

    AI Product — Fixed Price, Fixed Scope

    Turn your validated AI opportunity into a production-ready product. Predictable cost, clear deliverables, and full code ownership. No surprises, no vendor lock-in.

    12–24 week delivery

    Why AI projects fail to deliver

    Most AI initiatives get stuck in endless iterations with ballooning costs. We take a different approach.

    Unclear timelines and budgets

    Traditional AI projects spiral into endless sprints. You need predictable delivery with a fixed scope and price.

    Vendor lock-in concerns

    Black-box AI solutions leave you dependent on vendors. You need full code ownership and transparency.

    Cloud cost surprises

    Hyperscaler-only architectures drain budgets. You need efficient infrastructure that scales without breaking the bank.

    What makes our delivery different

    Built for enterprises that need predictability, compliance, and long-term ownership.

    EU-Sovereign & GDPR-Compliant

    Data stays in EU. We deploy on EU clouds or on-premise, with privacy-first architecture that meets the strictest compliance requirements.

    Glass-Box Delivery

    Full code ownership from day one. No proprietary dependencies, no vendor lock-in. You own everything we build.

    AI Data Loop Design

    We design your product to collect the data that makes your AI smarter over time — building your competitive moat from launch.

    Fixed Scope Guarantee

    Clear deliverables, no scope creep. We define what's in and what's out before we start, so you know exactly what you're getting.

    Efficient Cloud Architecture

    We combine hyperscalers with specialized AI clouds (RunPod, DeepInfra, Hyperstack, Vast AI) for optimal cost-performance balance.

    Our delivery process

    A structured 12–24 week engagement from scoping to production deployment.

    01
    Week 1-2

    Scoping & Proposal

    We define exact deliverables, timeline, and fixed price. No ambiguity, no hidden costs.

    02
    Week 2-4

    System Design

    Architecture by certified cloud architects. EU-sovereign, on-premise, or hybrid — optimized for your constraints.

    03
    Week 4-18

    Implementation

    Iterative development with weekly demos. You see progress every week and can course-correct early.

    04
    Week 18-24

    Deployment & Handover

    Production deployment, documentation, and knowledge transfer. You're ready to operate independently.

    What you'll receive

    Everything you need to operate and evolve your AI system independently.

    Production-Ready Product

    Fully deployed AI system ready for real users, not a prototype or demo.

    Complete Source Code

    Full codebase with documentation. No proprietary components, no vendor dependencies.

    Infrastructure as Code

    Reproducible deployments with Terraform/Pulumi. Spin up new environments in minutes.

    CI/CD Pipeline

    Automated testing and deployment pipeline. Ship updates safely and frequently.

    Operations Runbook

    Documentation for your team to operate, monitor, and troubleshoot the system.

    Data Pipeline

    Built-in data collection for continuous AI improvement — your competitive moat.

    Case Study

    AstraZeneca US

    Pharma & Healthcare

    Challenge

    AstraZeneca needed to boost the efficiency of Medical Affairs analytics and unlock deeper insights from vast CRM data generated by their Medical Science Liaisons.

    Outcome

    Delivered an AI insights analytics tool that accelerated data-driven decision-making, transforming complex CRM data into a strategic asset.

    "They had a phenomenal knowledge of AI."

    — Serhii Myroshnychenko, Director of Brand Insights, AstraZeneca US

    Frequently Asked Questions

    Answers to common questions about this topic.

    What can we expect from a fixed-price AI engagement?

    A fixed-price AI engagement delivers an agreed scope, timeline, and acceptance criteria with clear accountability for delivery outcomes. Shelpuk AI Technology Consulting delivers fixed-scope AI initiatives with production-oriented engineering and accountable execution.

    How does the fixed-price model control scope while handling change requests?

    In this context: Fixed scope, fixed price AI product development. EU cloud, on-premises, AWS, Azure, and GCP deployment options. Work is organized into milestone-based increments with acceptance criteria, and any change request follows explicit impact assessment and re-baselining. Shelpuk AI Technology Consulting uses disciplined scope governance to protect quality and timeline commitments without hidden trade-offs.

    How are project price, timeline, and risk buffers defined upfront?

    Price and timeline are defined from agreed requirements, architecture assumptions, integration dependencies, and delivery constraints validated during scoping. Shelpuk AI Technology Consulting structures contracts around measurable milestones, dependency transparency, and explicit risk treatment.

    When is fixed-price delivery a better fit than augmentation-style staffing?

    Fixed-price delivery is strongest when objectives are explicit, governance is active, and stakeholders require predictable budget accountability. Shelpuk AI Technology Consulting helps organizations choose fixed-price delivery when ownership, predictability, and delivery responsibility must be clear.