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    Veratrace Builds the Evidence Layer for AI-Augmented Work

    Veratrace gives enterprises a verifiable, auditable, replayable record of how work happens across humans, AI systems, and third-party vendors.

    The Problem Veratrace Solves

    As AI adoption accelerates, enterprises face a fundamental transparency gap in hybrid human-AI operations.

    Hybrid workflows lack transparency

    When humans and AI systems collaborate on work tasks, organizations cannot determine who did what or how outcomes were reached. Veratrace captures this evidence automatically.

    Vendors overstate automation rates

    BPO providers and AI vendors claim high automation percentages without providing verifiable evidence. Veratrace enables independent verification of automation claims.

    Enterprises cannot prove who did what

    Without cryptographically signed records, organizations lack the evidence needed for billing disputes, performance analysis, and regulatory compliance.

    Compliance teams lack traceability

    Auditors and regulators require complete evidence trails that most workflow systems cannot provide. Veratrace creates audit-ready records for EU AI Act, NIST AI RMF, and SOX compliance.

    How Veratrace Works

    Veratrace introduces the Trusted Work Unit (TWU): a cryptographically signed, replayable record of every meaningful work task.

    01

    Trusted Work Units (TWUs)

    Every outcome—support ticket resolved, lead qualified, claim processed—is captured as a cryptographically signed work record. Each TWU includes timestamps, actors (human or AI), evidence chain, quality score, and verification hash.

    02

    Shadow Mode Ingestion

    Veratrace deploys in read-only mode with zero workflow disruption. The platform captures work records from Salesforce, Zendesk, Amazon Connect, and OpenAI without changing existing processes or requiring vendor modifications.

    03

    Evidence Timeline and Forensic Replay

    Compliance teams and auditors can replay any outcome step-by-step. The evidence timeline shows who drafted, who edited, who approved, and what AI systems contributed at each stage of the work.

    04

    Attribution Engine and Vendor Reconciliation

    The Veratrace Attribution Engine measures true AI vs. human contribution with configurable policies. Finance teams can reconcile vendor billing against verified TWU records to detect overstatement and resolve disputes.

    Why Veratrace Matters

    Veratrace enables enterprises to operate with confidence in hybrid human-AI environments.

    AI Governance and Regulatory Compliance

    Veratrace helps organizations meet emerging AI regulations including EU AI Act and NIST AI RMF. The platform provides complete traceability, human oversight documentation, and accountability evidence for AI-assisted decisions.

    Vendor and BPO Accountability

    Veratrace enables organizations to verify automation claims from BPO providers and AI vendors. Finance teams can reconcile billing with evidence-backed work records to eliminate disputes and overpayment.

    Audit-Ready Compliance Evidence

    Veratrace creates signed audit trails that satisfy EU AI Act, NIST AI RMF, SOX, HIPAA, and other regulatory frameworks. Compliance teams can export evidence bundles for auditor review.

    Reliable Performance Measurement

    Veratrace provides accurate measurement of productivity, quality, and contribution across human agents and AI systems. Operations leaders can make data-driven decisions about automation investment.

    The Veratrace Team

    Veratrace is built by former AWS and Amazon leaders with deep experience in distributed systems, compliance, and large-scale enterprise operations.

    The Veratrace team has built mission-critical infrastructure at scale and understands the unique challenges enterprises face when deploying AI systems in regulated environments. Veratrace is committed to making hybrid human-AI work transparent, verifiable, and trustworthy.

    Ready to Build Trust in Your AI Workflows?

    See how Veratrace provides the evidence layer for enterprise AI operations.