With Mynder Agents, you build your own AI agents with roles, authority and approval. Every action is linked to a source, requirement, named approver and date.
AI Agents, audit-ready
Give every agent a role and authority, approve what matters, and see what it has done — with a source, approver and date.
Not another chatbot. A place where you build your own AI agents that can be verified.
Observe
Suggest
Execute
Source
Security documentation, v2.1
Requirement
Supplier requirements, NIS2
Approver
Procurement manager
Date
05.10.2026
Board agent
Deadline agent
Sales agent
What happens to our data?
The fear that sensitive information will end up with the major AI companies and become training data.
What is the agent allowed to do?
No one wants an agent that sends emails, changes systems or makes decisions nobody has approved.
It moves too fast.
An agent produces more in an hour than a team does in a week. Who will review it? Who is in control?
What will my role be?
The most honest concern — and the one fewest people say out loud.
Every agent has defined authority.
Observe, propose or execute — you decide the level. Anything requiring judgment always goes to a person. Nothing happens outside that authority.
Everything can be verified.
Every action is linked to a source, requirement, named approver and date — and can be retrieved six months later.
Your data stays with you.
Sara stands between your systems and the language model. Agents receive answers, not raw data. Nothing is used to train models.
This comparison is intentionally high-level. Functionality varies between suppliers and configurations.
Time requirements vary with scope, data quality and configuration.
The company is run by people and an AI team working around the clock: one prepares board meetings, one watches deadlines, one ranks priorities, and one prepares sales material. While you are reading this, they are working.
Choose your AI
Use ChatGPT, Claude, or another AI you already have.
Connect Mynder Agents
Find Mynder Agents as a connector and sign in.
Start onboarding
Follow the three short steps inside your AI.
You no longer have to do everything yourself. You decide what agents may do, approve what matters, and spend your time on what they cannot do: assess, prioritize and take responsibility.
You set the task and the boundaries.
The agent does the work — and shows you what it did.
You approve what matters. The rest runs by itself.