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    Execution Evidence for Regulated AI Workflows

    When regulators ask 'prove what your AI system did,' logs are not a defensible answer. Certified Execution Records are.

    Regulated industries operate under audit obligations that require demonstrable evidence of system behavior. AI systems introduce a new challenge: non-deterministic, opaque execution that traditional compliance controls were not designed to handle.

    The compliance gap in AI systems

    Traditional software compliance relies on deterministic systems with predictable behavior. AI systems, particularly those using large language models, are neither deterministic nor fully predictable. This creates a fundamental gap:

    • Logs are not evidence. Mutable, incomplete, and unverifiable. No auditor can rely on a log entry as proof of execution.
    • Model behavior is opaque. The same prompt can produce different outputs depending on temperature, model version, and provider-side changes.
    • Audit trails are retrospective. Traditional audit trails track access and changes. They do not capture the full execution context of an AI decision.
    • Governance platforms enforce policy, not proof. Policy controls define what should happen. They do not prove what actually happened.

    What auditors actually need

    When a compliance audit examines an AI system, the auditor needs structured, verifiable evidence that answers:

    1. What inputs triggered the decision? The exact prompt, context, and data provided to the model.
    2. What parameters governed execution? Model version, temperature, token limits, and any system-level constraints.
    3. What output was produced? The exact response, including any tool calls or structured data.
    4. Can this record be independently verified? Without trusting the originating system, can a third party confirm the record has not been altered?

    A Certified Execution Record answers all four questions in a single tamper-evident artifact.

    Standards alignment

    NexArt's CER format is designed to support evidence requirements across major compliance frameworks:

    FrameworkRelevant requirementHow CERs support it
    ISO/IEC 42001AI management system auditabilityStructured, tamper-evident execution records with cryptographic integrity
    SOC 2Processing integrity, security, availabilityDeterministic record formation, independent verification, sealed evidence
    NIST AI RMFRisk measurement, transparencyFull execution context, verifiable provenance, portable evidence artifacts
    EU AI ActHigh-risk AI system auditabilityExecution evidence that can be inspected, verified, and archived independently

    For detailed mapping, see Standards Alignment.

    NexArt provides execution evidence. It does not determine whether an AI output, decision, or workflow is legally compliant, fair, correct, or certified under any framework. NexArt is not itself certified under ISO/IEC 42001, SOC 2, or the EU AI Act.

    Industries and use cases

    Financial services

    Auditable evidence for AI-driven risk scoring, fraud detection, credit decisions, and trading signals.

    Healthcare

    Verifiable records for clinical decision support, diagnostic assistance, and treatment recommendation systems.

    Legal and compliance

    Defensible execution evidence for AI-assisted contract review, due diligence, and regulatory analysis.

    Insurance

    Tamper-evident records for claims processing, underwriting models, and automated assessment systems.

    Implementation path

    1. Identify critical AI decision points. Map the AI executions in your workflow that require auditability.
    2. Instrument with the NexArt SDK. A single certifyDecision() call at each decision point produces a complete CER.
    3. Request attestation. For additional assurance, submit CERs to an attestation node for independent signed receipts.
    4. Archive and verify. Export CERs as portable JSON artifacts. Verify at any time using verify.nexart.io or the SDK.

    Cite this definition

    "Execution evidence for regulated AI is the practice of producing structured, tamper-evident, independently verifiable records of AI system behavior that satisfy audit, compliance, and governance requirements."

    , Execution Evidence for Regulated AI, NexArt Glossary. https://nexart.io/glossary#execution-evidence-regulated-ai

    Create audit-supporting evidence for AI workflows

    Certified Execution Records produce structured execution evidence that can support compliance and audit workflows. NexArt does not certify compliance with any framework. Start in under five minutes.

    Quickstart guideVerify a recordView pricingContact us

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