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.
A Slack AI Employee that investigates incidents, links alerts to commits and tickets, and answers codebase questions — so on-call stops being a scramble.
PagerDuty alert investigated: linked to commit a1b2c3 (deployed 2:04 AM) and opened JIRA INC-512. Root cause looks like a cache miss on checkout. Suggested rollback ready — approve?
@Zenning roll it back and post an update to #incidents
What proactive AI does for engineering in Slack
Incident triage, deploy visibility, and codebase answers — in the thread.
Investigating #alert: 500s on /api/checkout up 40x. Correlated to the 11:42 PM deploy. Error: Redis connection pool exhausted. Linked logs, commit, and the related Sentry issue.
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.
Observe, analyse, act
Zenning reasons across your alerts, source control, and trackers so you get the full picture — not six scattered notifications.
Observes your stack
Watches alerts, logs, deploys, and CI across your observability and source tools.
Correlates the signal
Links the alert to the commit that caused it and the tickets that relate to it.
Proposes the fix
Suggests rollbacks and runbook steps, and executes known remediations on approval.
AI Employees for Engineering
Autonomous AI Employees that handle on-call and engineering ops, with a shared AI workspace for your team.
AI Workspaces
A shared control center for engineering ops. Ask codebase questions, check deploy status, and pull incident history in plain language — all connected to your live tools.
@Zenning summarise this week's incidents and what caused them
3 incidents this week — 2 from the checkout deploy (cache), 1 DB failover. Grouped by root cause with links.
AI Employees
AI Employees triage alerts, investigate incidents, open tickets, and post deploy digests automatically — escalating to humans when a decision is needed.
@Zenning investigate the latest PagerDuty alert and open a ticket
Correlated to commit 9f2a1c and a Sentry spike. Opened JIRA INC-514 with the root cause and a suggested fix.
Connected to your engineering stack
Zenning works across the tools your engineers live in every day.
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 our customers say
Lopay
“Zenning connects directly to our Snowflake data warehouse, so I can ask questions in plain language instead of writing complex SQL. More importantly, the wider team can get answers themselves without relying on my data team, which saves a significant amount of time.”
Steve Callery
Chief Data Officer
Lopay
“Zenning AI replaces the manual work in card dispute management. It collects evidence, prepares reports, and submits disputes to card networks, while integrating directly with Stripe and Slack so everything runs in a single workflow.”
Ben Mach
Head of Payment Risk
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