Turn AI release activity into reviewer-ready evidence
Logbook captures what changed, what was tested, who approved it, and what happened in incidents — then exports it as a structured dossier for procurement, audits, and compliance reviews.
Everything teams need for AI change governance
Replace scattered docs and ad-hoc spreadsheets with a single, structured record system built around AI release timelines.
Release logbooks
Capture every AI change with structured fields — what changed, why, and the rollout scope — so records are consistent and complete.
Approval workflows
Route releases through required reviewer roles with sign-off tracking. Every approval is timestamped and traceable.
Incident linkage
Connect incidents to the responsible release and AI system. Preserve a navigable timeline from change to outcome.
Exportable dossiers
Generate reviewer-ready PDF and read-only link exports. Procurement and audit stakeholders see exactly what they need.
Evidence capture
Store evaluation artifacts, test results, and supporting documents alongside each release record.
Integration-friendly
Pull metadata from GitHub, GitLab, Linear, Jira, and PagerDuty to minimize duplicate entry and keep records current.
From release to reviewer in three steps
Logbook fits into your existing shipping workflow without adding overhead.
Log the change
Create a release record with required-field prompts adapted to your change type — prompt tweak, model swap, or configuration update.
Attach evidence and approvals
Upload evaluation results, link test artifacts, and request sign-offs from assigned reviewers. Every action is timestamped.
Export the dossier
Generate a structured PDF or share a read-only link. Procurement and audit reviewers get what they need without follow-up.
Trusted by AI teams shipping fast
Teams use Logbook to reduce audit prep time and satisfy procurement reviewers on the first pass.
Before Logbook, assembling audit evidence for our AI systems took weeks. Now we export a dossier in minutes with every change, test, and approval in one place.
Sarah Chen
AI Product Lead, Series B Fintech
Procurement reviewers used to send us back for more documentation. With Logbook, our first submission has everything they ask for — release scope, eval results, and incident timelines.
Marcus Webb
Engineering Manager, Enterprise SaaS
The incident-to-release linkage has been transformative. When something goes wrong, we can trace it back to the exact change and show our response timeline clearly.
Priya Kapoor
Security & Compliance Lead, AI Infrastructure Co.
Start building your governance trail today
Join teams that ship AI updates confidently with clear, traceable, low-friction evidence for every change.