Autonomous agents
Agents that watch your KPIs and tell you why.
Schedule an agent to review a dashboard every morning. It emails the team only when something moves, with the analysis attached.
A scheduled agent checks the KPI dashboard every weekday at 9:00, flags a 9% drop in checkout conversion and emails the team with a chart and the reason.
Monitoring that explains itself.
On a schedule
Every KPI checked before your first meeting.
Pick the days and the time; the agent reviews each chart and flags what moved.
Mitzu agent · 09:04
Checkout conversion fell 9% week over week
Only when it matters
An email when the trigger is met, not every day.
Describe the condition in plain English. Each email says why it was sent.
When to email
Trigger
Email only when a KPI on the business dashboard moves more than 5% week over week.
Today: triggered, emailed growth, product and data
What changed
New, continuing and resolved, since the last run.
Each run compares with the one before, so the team reads what is new.
Today, 09:001 new · 1 resolved
- NewCheckout conversion down 9%, concentrated on Android
- ContinuingPaid social signups below plan for a 3rd week
- ResolvedOrder value back to trend after the promo ended
From any dashboard
Monitor a dashboard in one click.
Mitzu drafts the agent's instructions from the dashboard; you set who hears about it.
Agents watching this dashboard
- Daily KPI watchLast run 2 hours ago · 12 runs
- Weekly revenue reviewLast run Monday · 4 runs
New agent
Governed by your data team.
- Nothing copied out of your warehouse
- Self-hosting and data residency available
- You control whether the AI sees query results
- Your data is never used to train AI models
Autonomous agents: frequently asked questions
Let an agent watch the numbers, and your team act on them.
Start free on your warehouse, or book a demo and we'll show it on your data.