Move Faster
    Without Breaking Things.

    In today's market, the pressure is relentless: deliver insights faster, but don't you dare get the numbers wrong. This forces data leaders into an impossible choice between speed and trust.

    We use AI as a co-pilot—not an autopilot—to accelerate your data transformation lifecycle while keeping your expert team in complete control.

    The Data Team's Dilemma: Speed vs. Trust

    Traditional analytics delivery is broken. Business leaders want answers yesterday, but the process is slow and fraught with risk.

    Your Challenges:

    • Moving too fast leads to inconsistent metrics, broken dashboards, and a gradual erosion of trust from the very stakeholders you're trying to serve.

    • Moving too slowly means missed opportunities, a frustrated business, and a data team that is perpetually seen as a bottleneck, not a strategic partner.

    • AI is not a magic bullet—used incorrectly, it just creates higher volumes of low-quality work. Used strategically, it can transform your team's entire operating model.

    Our Solution: AI-Augmented Process, Human-Led Judgment

    Our approach uses AI to automate repetitive tasks and accelerate feedback loops, freeing your team to focus on what matters most: complex business logic and stakeholder collaboration.

    Proof in Practice:

    See how we partnered with Barton Peveril College to deliver an AI-accelerated MVP analytics platform in just 15 working days—pioneering a new approach for UK education.

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    Barton Peveril College students
    Barton Peveril

    How AI-Augmented Delivery Works

    Our methodology embeds AI into every stage of the analytics lifecycle, while keeping your expert team in complete control.

    AI-generated dashboard mockup

    Accelerated Prototyping

    Use AI to generate initial data models and dashboard mockups directly from your requirements, making stakeholder conversations concrete and productive from day one.

    Governance and code review process

    Governance at Speed

    Ensure every AI-generated asset passes through clear, human-led review gates. We maintain 100% explainability, semantic clarity, and trust in your final data products.

    Accelerated AI delivery timeline

    Faster Iteration

    Instantly generate boilerplate code, documentation, and tests, allowing your engineers to focus on solving unique business problems, not on repetitive, low-value tasks.

    Collaborative review and validation

    Deeper Collaboration

    Free your team from waiting on slow builds and manual processes. More time is spent with stakeholders validating insights and less time debugging pipelines.

    From Vision to Reality: How We Helped Barton Peveril Pioneer AI-Accelerated Analytics

    Barton Peveril Sixth Form College needed a modern analytics platform to support strategic decision-making—but with a director demonstration scheduled for early January and just 19 working days available, they needed a partner who could deliver enterprise-quality analytics at startup speed.

    "This MVP has proven what's possible when strong partnerships meet a clear vision, high-quality data, trusted metrics, and genuinely accessible analytics. I'm incredibly excited about the potential impact it can have on how data is used across education."

    — Chris Loveday, Vice Principal, Barton Peveril College

    Our Partnership Delivered:

    • Complete MVP analytics platform delivered in just 15 working days
    • 107 automated data quality tests with 100% documentation coverage
    • Dimensional data warehouse in Google BigQuery with star schema architecture
    • Complete Looker semantic layer with 8 production dashboards
    • AI-powered voice and chat support bot for ongoing staff enablement
    Barton Peveril AI-Accelerated MVP Development Timeline

    See the Future of Analytics Delivery

    Let us walk you through how our AI-augmented approach can be applied to your team and your current data stack. In a no-obligation conversation, we can demonstrate how to build a smarter, faster, and more collaborative analytics process.