saascode

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.

Genesis score7.19/10
Make OncallCanon real.0/500
500 more votes and OncallCanon is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
3+Confirmed AI-operations direct neighbors
0Verified source integrations
0AI-declared final root causes
The case

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.

Who pays — and why

Site-reliability, security, operational-resilience, risk, and compliance leaders at regulated organizations that must preserve and review production-incident evidence.

What it unlocks
An incident evidence graph with source system, native identifier, timestamp, clock quality, alert, observation, change, action, actor type, declared automated system, communication, impact, recovery, and provenance
Competing causal and contributing-factor hypotheses with supporting and contradicting evidence, confidence, unknowns, reviewer, disagreement, and supersession
Reviewed impact, response, restoration, lessons, remediation, owner, due date, validation, exception, recurrence, and risk acceptance without automatic blame or employment use
A scoped human-approved artifact with current framework mapping, source citations, gaps, integrity manifest, signature, export, delivery, acknowledgment, correction, retention, and legal hold
How Genesis scored it
7.19across seven criteria
tension 8temporal 9blindspot 5buyer 8leverage 6convergence 5why-not 8
9
Temporal window

Current AI-operations tooling and operational-resilience scrutiny create urgency.

8
Productive tension

A durable record is valuable only if uncertainty and correction survive signing.

5
Convergence

Two source references support the concept without inbound idea convergence.

Why it scored well

The regulated engineering buyer, evidence gap, current AI-operations category, and reviewed artifact mechanism are concrete.

What's holding it back

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.

Signals detected4 sources crossed
Signalcompetitor research carried in Genesis

Signalcompetitive research carried in Genesis

Signalcompetitive research carried in Genesis

SignalGenesis technical red flag

Direction briefoncallcanon.md
oncallcanon.md
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