Zunni for Technology

Engineering Ops Agent to take runbooks out of documents.

Zunni turns repetitive technical routines into controlled execution: initial investigation, log analysis, tickets, internal commands, MCPs, and engineering handoff.

See execution
Executes runbooks with limits, logs, and authorization by action type.
Summarizes incidents, tickets, and evidence to accelerate response.
Connects AI to CLIs, MCPs, repositories, observability, and internal tools.
Engineering Ops Agent

The layer understands the alert or request, gathers evidence, executes safe steps, and delivers context ready for technical decisions.

Focus

Toil and incidents

Surface

CLI, MCP, tickets, logs

Outcome

Less time to context

Operational pain

Technical teams spend energy repeating basic investigation.

Incidents, internal support, and operational routines create collection, summary, update, and checking work that can be standardized.

Runbooks exist but depend on manual execution.

Context is split across logs, tickets, chats, and dashboards.

Senior engineers are interrupted by repetitive triage.

Automation without guardrails becomes operational risk.

Zunni creates a technical execution layer with permission, traceability, and limits.

Creative application

A technical operator that prepares the ground before decisions.

The agent collects signals, runs allowed commands, checks tools, and builds an actionable summary for the team.

01
Executable runbooks

Operational sequences become controlled commands with validation, logs, and approval points.

02
Incident triage

Alerts are enriched with logs, recent changes, related tickets, and initial hypothesis.

03
Engineering support

Internal questions, deploy routines, status lookup, and repetitive tasks gain a natural interface.

Executable workflow

From alert to context ready for action.

The goal is to reduce time between signal, evidence, and decision without losing operational control.

01

Capture signal

Receive alert, ticket, internal request, or command with scope and user.

02

Gather evidence

Check logs, metrics, deploys, repositories, runbooks, and internal services.

03

Execute safe step

Run checks, update ticket, generate summary, or notify owner within limits.

04

Audit operation

Record commands, data accessed, suggested decision, cost, and time saved.

Integrations

Connected to the technical operating surface.

Zunni can operate with observability, repositories, tickets, CLIs, MCPs, and internal tools.

GitHub/GitLab
Datadog/Grafana
Jira/Linear
Slack/Teams
CLI
MCP
Governance and ROI

Technical execution with permissions and traceability.

The closer AI gets to the technical stack, the more important scope, authorization, and logs become.

Safety
Controls

Permissions by command, tool, and environment

Human approval for sensitive actions

Input, output, and command logging

Evals for quality, safety, and cost

ROI
Metrics

Time to first context

Toil hours avoided

Incidents enriched automatically

Adoption of executable runbooks

Which runbook still requires someone to stop everything?

Zunni

We map a technical routine to turn investigation, updates, and repetitive execution into a controlled workflow.

Start with incidents, internal support, or deploy routines.

Define allowed commands, approvals, and logs.

Measure time to context and toil avoided.

ROI