Reciprocal Atlas

The Governance Intelligence Layer That Makes Your Data Explainable and Compliant.

Your AI Readiness Gaps Closed with Trustworthy Data

Reciprocal Atlas is the governance intelligence layer that makes your data explainable, compliant, and ready for AI workloads.

The Gaps We Close for You

    ROT, duplication, and ungoverned sprawl → We deliver clean, scored, governed data
    AI hype without business outcomes → We provide compliance, cost reduction, and enablement
    Your team's in the dark → We give you dashboards that deliver transparency
    AI can't find or trust your data → We provide contextual, explainable, searchable tagging
    reciprocal atals data AI solution
    reciprocal atals data AI solution
    Your people sidelined → We build hybrid workflows for collaboration
    No way to measure your progress → We track governance KPIs and AI readiness scoring
    Your fear of scale → We enable sandboxed testing and phased rollouts
    Your tools don't connect → We orchestrate flows into AI-ready pipelines

    Reciprocal Atlas Dashboard Capabilities

    See your entire data estate in real time

    Feed the right data to the right AI models

    Spot shadow IT and access risks

    Know where you stand on trustworthiness and AI readiness

    Enforce retention
    and governance automatically

    Without Trustworthy Data, Your AI Won’t Work.

    We’re not here to ride the hype. We’re here to fix your foundations.

    AI Project Failure Rates: Verified Sources

    95%

    of AI projects fail to deliver measurable value

    CEOWORLD and Forbes

    Only 15%

    of AI pilots show financial improvement

    McKinsey’s 2024 AI survey

    60%

    of AI projects will be abandoned by 2026 due to lack of AI-ready data

    Gartner

    70–85%

    of AI initiatives fail due to
    poor data
    governance

    NTT Data

    80%

    of AI initiatives fail due to poor data quality or lack of relevant data

    Enterprise Times

    63%

    of organisations lack confidence in their data management practices for AI

    Gartner

    The Cost of Failure

    Four out of five organizations will struggle

    to scale without modern data governance. (Enterprise Times)

    IBM’s Watson for Oncology lost $4 billion

    largely due to unrepresentative training data and governance gaps (Henrico Dolfing).

    Poor data quality costs organisations

    $12.9 million annually
     according to Gartner.

    Strategic Implications

    These numbers aren’t just statistics, they’re your reality. AI projects fail not because the models are weak, but because your data foundations are broken.

    Without governance, you face:

    • Biased or unreliable outputs
    • Compliance and privacy risks
    • Low adoption due to lack of trust
    • Escalating costs from rework and abandonment
    data analyst analysing data
    data team working together to improve company data

    How We Close Your Gap

    Our mission and Reciprocal Atlas’ purpose is to close this gap for you. We help you build governed, explainable, and trustworthy data estates that are:

    • Governed in real time
    • Traceable from discovery to activation
    • Scored for AI readiness
    • Integrated across your stack
    • Compliant by design

    We don’t just move your data. We move your trust forward.

    Ready to Take the Next Step?

    Get In Touch