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    AI TRUST INDEX

    AI Transparency & Trust Assessment for Stakeholders

    Measure & Build Stakeholder Confidence in AI

    Measure Your Trust

    Technology Partners

    Microsoft AzureMicrosoft Azure◆Google CloudGoogle Cloud◆AWSAWS◆NVIDIANVIDIA◆OpenAIOpenAI◆Hugging FaceHugging Face◆Meta AI◆Anthropic◆LangChainLangChain◆PineconePinecone◆Microsoft AzureMicrosoft Azure◆Google CloudGoogle Cloud◆AWSAWS◆NVIDIANVIDIA◆OpenAIOpenAI◆Hugging FaceHugging Face◆Meta AI◆Anthropic◆LangChainLangChain◆PineconePinecone◆

    Trust is the Unlock

    AI systems can be technically excellent but fail because stakeholders do not trust them. The AI Trust Index measures trust across your key stakeholder groups and gives you a clear picture of where gaps exist and how to close them.

    TRUST DIMENSIONS

    Four Dimensions of AI Trust

    Transparency

    How well stakeholders understand how AI decisions are made and what data is used.

    Explainability, documentation, communication clarity

    Reliability

    Stakeholder confidence in the consistency and accuracy of AI outputs over time.

    Error rates, fallback mechanisms, testing rigor

    Fairness

    Perception of whether AI systems treat different groups equitably and without bias.

    Bias audits, ethical guidelines, impact assessments

    Control

    Degree to which stakeholders feel they can oversee, intervene, or override AI decisions.

    Override capabilities, escalation paths, human-in-the-loop design

    STAKEHOLDER GROUPS

    Trust Varies by Audience

    Employees

    • •Job security
    • •Tool usability
    • •Decision transparency
    • •Training adequacy

    Customers

    • •Data privacy
    • •Fair treatment
    • •Service quality
    • •Opt-out options

    Regulators

    • •Compliance evidence
    • •Audit trails
    • •Risk documentation
    • •Accountability clarity

    Partners

    • •Data handling
    • •Liability clarity
    • •Performance SLAs
    • •Integration reliability
    ASSESSMENT PROCESS

    Trust Measurement Framework

    01

    Stakeholder Mapping

    Identify all relevant stakeholder groups and their relationship with your AI systems.

    02

    Trust Survey

    Validated survey instrument measuring trust across four dimensions per stakeholder group.

    03

    Analysis & Benchmarking

    Analyse results and benchmark against industry trust standards and best practices.

    04

    Trust Roadmap

    Prioritized initiatives to address trust gaps for each stakeholder group.

    BENCHMARKING

    Benchmarking Your AI Trust Score

    Your Trust Index score is benchmarked against industry peers and best-in-class organizations, giving you context for where you stand and realistic targets for improvement.

    90-100

    Trust Leader

    Stakeholders actively advocate for your AI

    70-89

    Trust Builder

    Strong foundation with areas to strengthen

    50-69

    Trust Emerging

    Mixed perceptions requiring attention

    Below 50

    Trust At Risk

    Significant gaps that may block integration

    DELIVERABLES

    What You Receive

    Trust Index Score

    Composite trust score by stakeholder group and dimension with trend tracking.

    Gap Analysis

    Detailed breakdown of trust gaps with root cause analysis.

    Trust Roadmap

    Prioritized actions to improve trust across stakeholder groups and dimensions.

    Communication Guide

    Tailored messaging frameworks to address specific trust concerns per stakeholder group.

    Related Services

    AI Maturity AssessmentPlanning & GovernanceAssessment & Readiness
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