OncallCanon
A vendor-neutral incident evidence assembler that preserves source events, hypotheses, human and automated actions, impact, recovery, contributing factors, remediation, review, mappings, integrity, correction, and machine-readable export.
Incident and AI-operations products increasingly triage alerts and propose fixes, while incident-management systems organize response. The supplied research found no reviewed product producing the exact per-incident signed, machine-readable, framework-mapped artifact proposed here, but all referenced integration capabilities remain unverified.
OncallCanon should assemble evidence, not generate one authoritative root cause. Native alerts, timelines, changes, logs, tickets, communications, automated-agent actions, human actions, service impact, recovery, hypotheses, counterevidence, contributing conditions, and remediation retain provenance. Reviewers decide what can be stated, what remains disputed, and which mappings apply.
A signature and append-only chain detect certain later alterations; they do not prove that the timeline is complete, the causal analysis is correct, the reviewer had every fact, or the artifact satisfies DORA, FCA, SOC 2, or another authority. Regulatory mappings and sign-off roles must be validated against the actual entity, incident, service, obligation, and current primary source.
Site-reliability, security, operational-resilience, risk, and compliance leaders at regulated organizations that must preserve and review production-incident evidence.
Current AI-operations tooling and operational-resilience scrutiny create urgency.
A durable record is valuable only if uncertainty and correction survive signing.
Two source references support the concept without inbound idea convergence.
The regulated engineering buyer, evidence gap, current AI-operations category, and reviewed artifact mechanism are concrete.
No proposed interfaces are verified, mappings require expert maintenance, human review adds cost, incident vendors can add exports, and integrity claims are easy to overstate.
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