Proactive AI for Engineering
A Slack AI Employee that investigates incidents, links alerts to commits and tickets, and answers codebase questions — so on-call stops being a scramble.
Observe, analyse, act
Zenning reasons across your alerts, source control, and trackers so you get the full picture — not six scattered notifications.
- Alerts, logs and deploys checked tool by tool
- The first 15 minutes of on-call spent gathering context
- Remediation worked out from scratch mid-incident
- Alerts, logs, deploys and CI watched in one place
- Each alert linked to the commit that caused it
- Rollbacks and runbook steps proposed for approval
What lands on your desk
AI Employees triage alerts, investigate incidents, open tickets, and post deploy digests automatically — escalating to humans when a decision is needed.
How AI Employees work#alerts · 500s up 40x
Redis pool exhausted on checkout
Correlated to the 11:42 PM deploy. Logs, the commit and the Sentry issue are linked.
GitHub · src/auth/context.ts
Getting the current user ID
Use getRequestContext().userId, set by the auth middleware. Example in orders.service.ts.
#on-call · Runbook
Elevated queue lag
Matches INC-488 from last month. Scale the worker pool now? Needs your approval.
Automated software engineer
Zenning AI autonomously builds features, fixes bugs, and plans work for your engineering team. From ticket creation to pull request, watch AI handle the entire development workflow while you focus on high-impact decisions.
What proactive AI does for engineering in Slack
Incident triage, deploy visibility, and codebase answers — in the thread.
Incident auto-investigation
When an alert fires, Zenning investigates in-thread — correlating logs, the triggering deploy, and related tickets — then posts a root-cause summary so on-call doesn't waste the first 15 minutes gathering context.
Deploy & PR digests
Zenning streams the changes that matter — merged PRs, deploys, CI status, and security warnings — into your channel with clickable links and a plain-language summary.
Codebase Q&A
Engineers @mention Zenning to get grounded answers about the codebase — pulled from your repos, docs, and past decisions — without interrupting a colleague or switching tools.
On-call context & runbooks
Zenning surfaces the right runbook, recent related incidents, and the systems involved — and can execute known remediation steps with approval.
Ticket creation
Describe a task in Slack and Zenning creates the Jira or Linear ticket — right project, priority, labels, and assignee — with the context attached.
Connected to your engineering stack
Zenning works across the tools your engineers live in every day.
“Zenning does the first pass on every alert in our on-call channel — pulling the relevant logs, linking the deploy that likely caused it, and drafting the incident summary before an engineer even picks it up.”
OliverEngineering Team Lead, Lopay
Make on-call less of a scramble
Connect your repos, alerts and tracker in a few minutes. Zenning picks up from the next alert.