Turn logs into an incident timeline
Bring relevant Magento, checkout and integration signals into a human-readable sequence for review.
CommerceGuard AI is an early-stage reliability copilot for Magento engineering teams. Understand failures across checkout, payment integrations, GraphQL and performance without guessing at the root cause.
01 10:41:02 checkout / 3DS return
02 10:41:03 gateway / AUTHORISATION true
03 10:41:04 order / pending_payment
04 10:41:11 queue / consumer retry
Authorization succeeded, but the order remained pending. Review redirect/webhook correlation, payment idempotency and consumer processing before proposing a fix.
Checkout flows span order state, PSP callbacks, customer sessions and queues. Our focus is runtime failures and production-readiness, not another module generator.
Bring relevant Magento, checkout and integration signals into a human-readable sequence for review.
Separate observed symptoms from hypotheses, record missing evidence and prioritize the next engineering checks.
Produce reviewable runbooks, regression test ideas and human-approved resolution plans.
Senior engineers remain responsible for decisions. The product should make investigation transparent rather than deploying code autonomously.
Review sanitized Magento logs and relevant payment, GraphQL or performance signals.
Map what happened, what might explain it and what evidence is still missing.
Prepare regression tests and a remediation checklist for engineer approval.
The roadmap includes privacy-filtered evidence analysis, structured incident summaries, comparisons between root-cause hypotheses, and traceable regression checklists. Engineers review and approve all recommendations.
Try a browser-only demonstration using fictional Magento incidents. No account or production credentials required.
Launch log demo