Last updated: October 6, 2026
What are Agents in Mitti?
Agents in Mitti do the checking and analysis for you. Think of an agent as a team member who specializes in a specific task. You define what to look for, and it runs whenever you need it. The agent works through your organization's data and surfaces what matters, along with suggested next steps.
For example, instead of manually checking hundreds of inspection reports to find the three that need action, an agent scans them and tells you exactly what needs fixing.
Get started with Agents
Check your permissions
To create and run agents, you need "AI Assistant: Access" permission. If Agents doesn't appear in your menu, contact your admin to confirm you have the right permission assigned.
Agents can only work with data you already have access to in Mitti. If the agent can't find something you're expecting, you can also check with your admin to confirm you have the right permissions and access assigned.
Browse the pre-built agent library
Before you create an agent, browse through the pre-built agent library to check if there's one that already fits what you need. You can browse by industry, such as Construction, Health, or Manufacturing, or start with the Recommended agents. Agents in the library are ready-to-use and configured to be conversational with view-only access by default. This means they can't create or edit data on your behalf unless you update the agent configuration.

Create an agent
You can create an agent using AI by entering your instructions in the prompt field instead of selecting from the library. For best results, your prompt should cover:
Task: What you want the agent to do.
How: The steps or approach it should follow to complete the task.
Output: What the result should look like, such as how it should format and deliver its findings.
Guardrails: What the agent shouldn't do.
After the agent is created for you, you can keep using the AI Assistant to guide you through changes, or configure the agent manually.

Starting October 2, 2026, Agent runs use AI credits from the same shared pool as the AI Assistant. Before you set agents up across your team, manage your AI credits so you know what to expect on your next renewal.
Schedule agent runs
You can schedule agents to run automatically at set times instead of running each one manually every time. This keeps recurring checks and analysis on track without you having to remember to trigger them, so you can spend your time reviewing findings instead of running the agent yourself.
You can also configure the agent to notify you every time a scheduled run succeeds or fails, so you know when there's something to review without checking in. Each scheduled run still saves as a run you can revisit later, just like a manual one.

Run an agent
When you're ready, run an agent so that it can read your data, reason through it, and build its output. When it's done, you'll see what was flagged, where it happened, and what needs follow-up.
From there, you can ask a follow-up question in the chat, drill into a specific site or report, or ask the agent to generate a downloadable report.

View the agent's run history
Each time you run an agent, its output is saved as a run. Open the agent, then select any run from the side panel to revisit its full output.
At the end of each run, the agent summarizes what it found and any recommended next steps. From there, you can continue the conversation, request a downloadable report, or explore specific findings in more detail.

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