Verifable
A regulated-support evidence layer that captures approved AI and human decision events across channels, signs minimal private records, optionally anchors non-reversible commitments, preserves escalation and correction, and assembles framework-shaped review exports without declaring compliance, admissibility, or audit acceptance.
Regulated customer-support teams may need to explain what an AI-assisted system received, suggested, called, disclosed, escalated, changed, and communicated across chat, email, phone, and ticket channels. Verifable creates a private, tamper-evident event record with source references, policy versions, human decisions, delivery acknowledgments, and corrections. The research confirms a direct evidence-pack competitor and a free public transparency service. Public anchoring must never expose prompts, personal data, health information, account details, secrets, or reversible fingerprints; only a threat-modeled minimal commitment may leave the private boundary. Event capture, cryptographic integrity, policy interpretation, human review, provider acknowledgment, destination readback, customer outcome, complaint, regulatory assessment, legal admissibility, and correction remain distinct.
A compliance, risk, support operations, quality, legal, or technology owner at a regulated organization using AI-assisted customer service; exact sector, size, agent count, and budget remain unresolved.
DORA and EU AI governance pressure is current, while exact article applicability and dates require primary revalidation for each use.
Event capture, integrity, verification, policy mapping, and exports are software-delivered after integration.
Three cross-references, ten inbound connections, and four direct connections provide broad support while the grounded score stays five.
Three cross-references, ten inbound and four direct links, a confirmed direct evidence-pack product, public integrity infrastructure, and a missing support-channel taxonomy support a software-leveraged niche.
The buyer contract is incomplete, a direct competitor already covers named frameworks, capture completeness and privacy are difficult, public anchors can leak information, evidence mapping does not prove compliance, and the client-library distinction is copyable.
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